{ "variables": { "for": { "label": "Census API FIPS 'for' clause", "concept": "Census API Geography Specification", "predicateType": "fips-for", "group": "N/A", "limit": 0, "predicateOnly": true }, "in": { "label": "Census API FIPS 'in' clause", "concept": "Census API Geography Specification", "predicateType": "fips-in", "group": "N/A", "limit": 0, "predicateOnly": true }, "ucgid": { "label": "Uniform Census Geography Identifier clause", "concept": "Census API Geography Specification", "predicateType": "ucgid", "group": "N/A", "limit": 0, "predicateOnly": true }, "EROLOVR2": { "label": "GI: Plan to roll over money into IRA/other retirement", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Yes", "2": "No", "-1": "Not in Universe" } } }, "EROLOVR1": { "label": "GI: Money rolled over into IRA/other type of retirement", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "2": "No", "1": "Yes", "-1": "Not in Universe" } } }, "ATRANTP": { "label": "GI: Allocation flag for ETRANTP1-ETRANTP5", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Statistical imputation (hot deck)", "3": "Logical imputation (derivation)", "4": "Statistical or logical imputation using previous wave data", "2": "Cold deck imputation", "0": "Not imputed" } } }, "A51AMT": { "label": "GI: Allocation flag for T51AMT", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "Not imputed", "1": "Statistical imputation (hot deck)", "2": "Cold deck imputation", "4": "Statistical or logical imputation using previous wave data", "3": "Logical imputation (derivation)" } } }, "ACKOINT": { "label": "AS: Allocation flag for TCKOINT.", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "2": "Cold deck imputation", "1": "Statistical imputation (hot deck)", "4": "Statistical or logical imputation using previous wave data", "3": "Logical imputation (derivation)", "0": "Not imputed", "6": "Derived from range based values" } } }, "EBFLAG": { "label": "LF: Flag indicating worker with unknown job dates", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "-1": "Not applicable", "1": "Yes" } } }, "EALLCON3": { "label": "WD: Health condition responsible for work limitation", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "-1": "Not in Universe", "1": "Yes", "2": "No" } } }, "ER61": { "label": "GI: Receipt of food assistance (ISS Code 61)", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Yes", "2": "No", "-1": "Not in Universe" } } }, "EALLCON2": { "label": "WD: Health condition responsible for work limitation", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "-1": "Not in Universe", "1": "Yes", "2": "No" } } }, "ER62": { "label": "GI: Receipt of clothing assistance (ISS Code 62)", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "-1": "Not in Universe", "2": "No", "1": "Yes" } } }, "EALLCON5": { "label": "WD: Health condition responsible for work limitation", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "2": "No", "1": "Yes", "-1": "Not in Universe" } } }, "ACLOTHTP": { "label": "GI: Allocation flag for ECLOTHTP", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "2": "Cold deck imputation", "0": "Not imputed", "3": "Logical imputation (derivation)", "1": "Statistical imputation (hot deck)", "4": "Statistical or logical imputation using previous wave data" } } }, "EALLCON4": { "label": "WD: Health condition responsible for work limitation", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Yes", "-1": "Not in Universe", "2": "No" } } }, "ER64": { "label": "GI: Receipt of short-term assistance (ISS Code 64)", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Yes", "2": "No", "-1": "Not in Universe" } } }, "AHISPSE": { "label": "HI: Allocation flag for EHISPSE", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "4": "Statistical or logical imputation using previous wave data", "3": "Logical imputation (derivation)", "2": "Cold deck imputation", "0": "Not imputed", "1": "Statistical imputation (hot deck)" } } }, "ARENROLL": { "label": "ED: Allocation flag for RENROLL", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "4": "Statistical or logical imputation using previous wave data", "1": "Statistical imputation (hot deck)", "2": "Cold deck imputation", "3": "Logical imputation (derivation)", "0": "Not imputed" } } }, "EALLCON1": { "label": "WD: Health condition responsible for work limitation", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Yes", "-1": "Not in Universe", "2": "No" } } }, "ABFBSIT": { "label": "FH: Allocation flag for EBTSIT01 - EBTSIT15", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Statistical imputation(hot deck)", "2": "Cold deck", "0": "Not imputed", "4": "Imputed based on previous wave data", "3": "Logical imputation(derivation)" } } }, "UAF1": { "label": "AF: UNEDITED - From August 1990 to present", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "7": "Refuse", "1": "August 1990 to the present (including Persian Gulf War)", "6": "Don't know", "0": "Not answered" } } }, "RCUTYP21": { "label": "PE: General Assistance coverage flag", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "2": "No, not covered", "1": "Yes, covered" } } }, "RCUTYP20": { "label": "PE: Public assistance payments program coverage flag", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "2": "No, not covered", "1": "Yes, covered" } } }, "AFRERDBK": { "label": "HH: Allocation flag for EFRERDBK", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Statistical imputation (hot deck)", "2": "Cold deck imputation", "4": "Statistical or logical imputation using previous wave data", "3": "Logical imputation (derivation)", "0": "Not imputed" } } }, "EALLCON7": { "label": "WD: Health condition responsible for work limitation", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Yes", "2": "No", "-1": "Not in Universe" } } }, "EALLCON6": { "label": "WD: Health condition responsible for work limitation", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Yes", "2": "No", "-1": "Not in Universe" } } }, "EALLCON9": { "label": "WD: Health condition responsible for work limitation", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Yes", "-1": "Not in Universe", "2": "No" } } }, "AWHOTRN1": { "label": "ET: Allocation flag for EWHOTRN1.", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Statistical imputation(hot deck)", "3": "Logical imputation(derivation)", "0": "Not imputed", "2": "Cold deck" } } }, "EALLCON8": { "label": "WD: Health condition responsible for work limitation", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Yes", "-1": "Not in Universe", "2": "No" } } }, "AWHOTRN2": { "label": "ET: Allocation flag for EWHOTRN2.", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Statistical imputation(hot deck)", "2": "Cold deck", "3": "Logical imputation(derivation)", "0": "Not imputed" } } }, "ASJNTDIV": { "label": "AS: Allocation flag for TSJNTDIV", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Statistical imputation (hot deck)", "6": "Derived from range based values (from wave 5+)", "0": "Not imputed", "4": "Statistical or logical imputation using previous wave data", "3": "Logical imputation (derivation)", "2": "Cold deck imputation" } } }, "RSS1": { "label": "GI: Reason for stopping SSI the first time", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "7": "Other, specify", "2": "Became ineleigble because of family changes", "3": "Still eligible but could not/chose not to collect", "4": "Became ineligible because program requirements were not met", "6": "The money is not worth it", "5": "Eligibility ran out because of time limits", "1": "Became ineligible because of increased income", "-1": "Not in Universe" } } }, "RCUTYP27": { "label": "PE: food Stamp coverage flag", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Yes, covered", "2": "No, not covered" } } }, "TSPRPINC": { "label": "SF: Total related subfamily property inc for this month", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "None or not in universe" }, "range": [ { "min": "-1500000", "max": "1500000", "description": "Dollar amount" } ] } }, "UAF5": { "label": "AF: UNEDITED - Other service (All other periods)", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "5": "Some other time period (other than those in UAF1-UAF4)", "0": "Not answered" } } }, "UAF4": { "label": "AF: UNEDITED - From August 1964 - April 1975", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "Not answered", "4": "August 1964 to April 1975 (Vietnam Era)" } } }, "RCUTYP25": { "label": "PE: WIC coverage flag", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "2": "No, not covered", "1": "Yes, covered" } } }, "UAF3": { "label": "AF: UNEDITED - From May 1975 to August 1980", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "Not answered", "3": "May 1975 to August 1980" } } }, "RCUTYP24": { "label": "PE: Other welfare coverage flag", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Yes, covered", "2": "No, not covered" } } }, "UAF2": { "label": "AF: UNEDITED - From September 1980 to July 1990", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "Not answered", "2": "September 1980 to July 1990" } } }, "T29AMT": { "label": "GI: Amount of alimony payments (ISS Code 29)", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "None or not in universe" }, "range": [ { "min": "1", "max": "16000", "description": "Amount in dollars" } ] } }, "RCUTYP23": { "label": "PE: Foster Child Care coverage flag", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "2": "No, not covered", "1": "Yes, covered" } } }, "EMRTOWN": { "label": "AS: Mortgages held in own name", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "-1": "Not universe", "1": "Yes", "2": "No" } } }, "AHIOLDKD": { "label": "HI: Allocation flag for EHIOLDKD", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "2": "Cold deck imputation", "3": "Logical imputation (derivation)", "4": "Statistical or logical imputation using previous wave data", "0": "Not imputed", "1": "Statistical imputation (hot deck)" } } }, "ABDJTINT": { "label": "AS: Allocation flag for TBDJTINT", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "3": "Logical imputation (derivation)", "2": "Cold deck imputation", "0": "Not imputed", "4": "Statistical or logical imputation using previous wave data", "1": "Statistical imputation (hot deck)", "6": "Derived from range based values" } } }, "ER51": { "label": "GI: Receipt of money from relatives or friends", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "2": "No", "1": "Yes", "-1": "Not in Universe" } } }, "ER52": { "label": "GI: Receipt of lump sum payments (ISS Code 52)", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Yes", "2": "No", "-1": "Not in Universe" } } }, "A04AMT": { "label": "GI: Allocation flag for T04AMT", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "Not imputed", "3": "Logical imputation (derivation)", "4": "Statistical or logical imputation using previous wave data", "1": "Statistical imputation (hot deck)", "2": "Cold deck imputation" } } }, "ER55": { "label": "GI: Receipt of incidental or casual earnings", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "-1": "Not in Universe", "2": "No", "1": "Yes" } } }, "ER56": { "label": "GI: Receipt of miscellaneous cash income (ISS Code 56)", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "-1": "Not in Universe", "2": "No", "1": "Yes" } } }, "EABRE": { "label": "LF: Main reason for being absent without pay", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "On layoff (temporary or indefinite)", "3": "Own injury", "8": "Bad weather", "11": "Participated in a job-sharing arrangement", "4": "Own illness/medical problems", "6": "Taking care of children", "7": "On vacation/personal days", "9": "Labor Dispute", "12": "Other", "5": "Pregnancy/childbirth", "-1": "Not in Universe", "2": "Slack work or business conditions", "10": "New job to begin within 30 days" } } }, "ALMYEAR": { "label": "MH: Allocation flag for TLMYEAR", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "Not imputed", "2": "Cold deck", "3": "Logical imputation(derivation)", "1": "Statistical imputation(hot deck)" } } }, "T64AMT": { "label": "GI: Amount of short-term cash assistance", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "None or not in universe" }, "range": [ { "min": "1", "max": "8000", "description": "Amount in dollars" } ] } }, "TPMSUM1": { "label": "JB: Earnings from job received in this month", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "None or not in universe" }, "range": [ { "min": "1", "max": "66666", "description": "Dollar amount" } ] } }, "EJNTRNT": { "label": "AS: Rent from property jointly owned with spouse", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Yes", "-1": "Not in Universe", "2": "No" } } }, "TASSOCYR": { "label": "ET: In what year did... receive...'s associate degree?", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "-1": "Not in Universe" }, "range": [ { "min": "1955", "max": "2009", "description": "Year received associate degree" } ] } }, "TPMSUM2": { "label": "JB: Earnings from job received in this month", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "None or not in universe" }, "range": [ { "min": "1", "max": "66666", "description": "Dollar amount" } ] } }, "EWKLTMO": { "label": "WD: Mnth persn last worked before their limitation began", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "-3": "Had never been employed before work limitation began", "-1": "Not in Universe" }, "range": [ { "min": "1", "max": "12", "description": "Month" } ] } }, "EEGYAST": { "label": "HH: Receipt of energy assistance", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "-1": "Not in Universe", "2": "No", "1": "Yes" } } }, "T52AMT": { "label": "GI: Amount of lump sum payments (ISS Code 52)", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "None or not in universe" }, "range": [ { "min": "1", "max": "26000", "description": "Amount in dollars" } ] } }, "A38AMT": { "label": "GI: Allocation flag for T38AMT", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Statistical imputation (hot deck)", "2": "Cold deck imputation", "3": "Logical imputation (derivation)", "4": "Statistical or logical imputation using previous wave data", "0": "Not imputed" } } }, "TSFDSTP": { "label": "SF: Total related subfamily food stamps income", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "None or not in universe" }, "range": [ { "min": "1", "max": "150000", "description": "Dollar amount" } ] } }, "ECDOAST": { "label": "AS: Solely owned certificates of deposit", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "2": "No", "-1": "Not in Universe", "1": "Yes" } } }, "EUNION1": { "label": "JB: Union/employee-association membership", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Yes", "-1": "Not in Universe", "2": "No" } } }, "A75AMT": { "label": "GI: Allocation flag for T75AMT", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "3": "Logical imputation (derivation)", "4": "Statistical or logical imputation using previous wave data", "1": "Statistical imputation (hot deck)", "0": "Not imputed", "2": "Cold deck imputation" } } }, "EPROPB2": { "label": "BS: Type of proprietorship", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Alone", "-1": "Not in Universe", "2": "Partnership" } } }, "AFREELUN": { "label": "HH: Allocation flag for EFREELUN", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Statistical imputation (hot deck)", "3": "Logical imputation (derivation)", "0": "Not imputed", "4": "Statistical or logical imputation using previous wave data", "2": "Cold deck imputation" } } }, "AAFBWKHR": { "label": "FH: Allocation flag for EAFBWKHR", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "Not imputed", "1": "Statistical imputation(hot deck)", "3": "Logical imputation(derivation)", "2": "Cold deck", "4": "Imputed based on previous wave data" } } }, "RSS2": { "label": "GI: Reason for stopping SSI the second time", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "-1": "Not in Universe", "4": "Became ineligible because program requirements were not met", "5": "Eligibility ran out because of time limits", "2": "Became ineleigble because of family changes", "1": "Became ineligible because of increased income", "6": "The money is not worth it", "3": "Still eligible but could not/chose not to collect", "7": "Other, specify" } } }, "RFOWNKID": { "label": "FA: Number of own children in family", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "range": [ { "min": "0", "max": "30", "description": "Number of children" } ] } }, "T30AMT": { "label": "GI: Amount of pension from a company or union", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "None or not in universe" }, "range": [ { "min": "1", "max": "15200", "description": "Amount in dollars" } ] } }, "ER75": { "label": "GI: Receipt of other government income (ISS Code 75)", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Yes", "-1": "Not in Universe", "2": "No" } } }, "AWKLKG": { "label": "LF: Allocation flag for RMWKLKG", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "2": "Cold deck imputation", "3": "Logical imputation(derivation)", "0": "Not imputed", "4": "Statistical or logical imputation using previous wave data", "1": "Statistical imputation(hot deck)" } } }, "EHIMTH": { "label": "HI: Health ins cover this mnth(not Medicare or Medicaid)", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "2": "No, not covered", "1": "Yes, covered" } } }, "EPROPB1": { "label": "BS: Type of proprietorship", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Alone", "2": "Partnership", "-1": "Not in Universe" } } }, "ALKWRK": { "label": "LF: Allocation flag for ELKWRK", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "Not imputed", "3": "Logical imputation(derivation)", "4": "Statistical or logical imputation using previous wave data", "1": "Statistical imputation(hot deck)", "2": "Cold deck imputation" } } }, "AOINCB2": { "label": "BS: Allocation flag for EOINCB2", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "2": "Cold deck imputation", "0": "Not imputed", "3": "Logical imputation(derivation)", "1": "Statistical imputation(hot deck)", "4": "Statistical or logical imputation using previous wave data" } } }, "EUNION2": { "label": "JB: Union/employee-association membership", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "2": "No", "-1": "Not in Universe", "1": "Yes" } } }, "AEMPLOC1": { "label": "JB: Allocation flag for EEMPLOC1", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "3": "Logical imputation(derivation)", "4": "Statistical or logical imputation using previous wave data", "2": "Cold deck imputation", "0": "Not imputed", "1": "Statistical imputation(hot deck)" } } }, "AEMPLOC2": { "label": "JB: Allocation flag for EEMPLOC2", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "Not imputed", "2": "Cold deck imputation", "1": "Statistical imputation(hot deck)", "3": "Logical imputation(derivation)", "4": "Statistical or logical imputation using previous wave data" } } }, "EBMNTH": { "label": "PE: Month of birth", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "range": [ { "min": "1", "max": "12", "description": "Calendar month" } ] } }, "ECASHSC1": { "label": "GI: Source of cash assistance ... received: govt agency", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "2": "No", "1": "Yes", "-1": "Not in Universe" } } }, "ECASHSC3": { "label": "GI: Source of cash assist ... received: family/friends", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "2": "No", "-1": "Not in Universe", "1": "Yes" } } }, "ECASHSC2": { "label": "GI: Source of cash assist ... received: com/rel charity", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "2": "No", "-1": "Not in Universe", "1": "Yes" } } }, "ECASHSC4": { "label": "GI: Source of cash assist ... received: someplace else", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Yes", "2": "No", "-1": "Not in Universe" } } }, "TPTRNINC": { "label": "PE: Total means-tested cash transfer for the reference month", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "None or not in universe" }, "range": [ { "min": "1", "max": "1500000", "description": "Amount in dollars" } ] } }, "RWKESR4": { "label": "LF: Employment Status Recode for Week 4", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "5": "No job - not looking for work and not on layoff", "4": "No job - looking for work or on layoff", "1": "With job - working", "-1": "Not applicable for week 18", "2": "With job - not on layoff, absent without pay", "3": "With job - on layoff, absent without pay" } } }, "RWKESR5": { "label": "LF: Employment Status Recode for Week 5", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "With job - working", "4": "No job - looking for work or on layoff", "5": "No job - not looking for work and not on layoff", "2": "With job - not on layoff, absent without pay", "3": "With job - on layoff, absent without pay", "-1": "Not applicable for week 18" } } }, "RWKESR2": { "label": "LF: Employment Status Recode for Week 2", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "5": "No job - not looking for work and not on layoff", "-1": "Not applicable for week 18", "3": "With job - on layoff, absent without pay", "2": "With job - not on layoff, absent without pay", "1": "With job - working", "4": "No job - looking for work or on layoff" } } }, "RWKESR3": { "label": "LF: Employment Status Recode for Week 3", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "4": "No job - looking for work or on layoff", "2": "With job - not on layoff, absent without pay", "3": "With job - on layoff, absent without pay", "-1": "Not applicable for week 18", "1": "With job - working", "5": "No job - not looking for work and not on layoff" } } }, "RWKESR1": { "label": "LF: Employment Status Recode for Week 1", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "3": "With job - on layoff, absent without pay", "5": "No job - not looking for work and not on layoff", "2": "With job - not on layoff, absent without pay", "1": "With job - working", "-1": "Not applicable for week 18", "4": "No job - looking for work or on layoff" } } }, "EPPPNUM": { "label": "PE: Person number", "predicateType": "int", "group": "N/A", "limit": 0 }, "ECFLAG": { "label": "LF: Flag indicating an other-work-arrangement worker (contingent worker)", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "-1": "Not applicable", "1": "Yes" } } }, "AAFBWKEM": { "label": "FH: Allocation flag for EAFBWKEM", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Statistical imputation(hot deck)", "3": "Logical imputation(derivation)", "4": "Imputed based on previous wave data", "0": "Not imputed", "2": "Cold deck" } } }, "TBYEAR": { "label": "PE: Year of birth", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "range": [ { "min": "1924", "max": "2012", "description": "Calendar year" } ] } }, "APRSTATE": { "label": "MG: Allocation flag for TPRSTATE", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "Not imputed", "2": "Cold deck", "1": "Statistical imputation(hot deck)", "3": "Logical imputation(derivation)" } } }, "TWKLTYR": { "label": "WD: Year the person last worked before limitation began", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "-1": "Not in Universe", "-3": "Had never been employed before work limitation began" }, "range": [ { "min": "1974", "max": "2009", "description": "Year" } ] } }, "RSB2R2": { "label": "GI: 2nd reason applying for SSI the 2nd time", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "3": "Over 65", "-1": "Not in Universe", "4": "Other, specify", "2": "Became disabled/blind" } } }, "RSB2R1": { "label": "GI: 1st reason applying for SSI the 2nd time", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "-1": "Not in Universe", "2": "Became disabled/blind", "3": "Over 65", "4": "Other, specify" } } }, "ABDOAST": { "label": "AS: Allocation flag for EBDOAST", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "2": "Cold deck imputation", "4": "Statistical or logical imputation using previous wave data", "3": "Logical imputation (derivation)", "0": "Not imputed", "1": "Statistical imputation (hot deck)" } } }, "TSLUMPSM": { "label": "SF: Related subfamily retirement lump sum payments", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "None or not in universe" }, "range": [ { "min": "1", "max": "15000000", "description": "Dollar amount" } ] } }, "ASOWNADV": { "label": "AS: Allocation flag for TSOWNADV", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "3": "Logical imputation (derivation)", "1": "Statistical imputation (hot deck)", "4": "Statistical or logical imputation using previous wave data", "0": "Not imputed", "2": "Cold deck imputation", "6": "Derived from range based values (from wave 5+)" } } }, "WHFNWGT": { "label": "WW: Household weight", "predicateType": "int", "group": "N/A", "limit": 0, "is-weight": true, "values": { "range": [ { "min": "0.0", "max": "99999.9999", "description": "Weight" } ] } }, "AAFBJST": { "label": "FH: Allocation flag for EAFBST01 - EAFBST15", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "3": "Logical imputation(derivation)", "1": "Statistical imputation(hot deck)", "4": "Imputed based on previous wave data", "0": "Not imputed", "2": "Cold deck" } } }, "A61AMT": { "label": "GI: Allocation flag for T61AMT", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "Not imputed", "4": "Statistical or logical imputation using previous wave data", "1": "Statistical imputation (hot deck)", "2": "Cold deck imputation", "3": "Logical imputation (derivation)" } } }, "AAFBWKFT": { "label": "FH: Allocation flag for EAFBWKFT", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "4": "Imputed based on previous wave data", "1": "Statistical imputation(hot deck)", "2": "Cold deck", "3": "Logical imputation(derivation)", "0": "Not imputed" } } }, "EWRKEXP1": { "label": "GI: Already tell about this work/job", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Yes", "2": "No", "-1": "Not in Universe" } } }, "ELMTMO": { "label": "WD: Month the person's work limitation began", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "-4": "Person became limited before age 16", "-1": "Not in Universe" }, "range": [ { "min": "1", "max": "12", "description": "Month the person became limited" } ] } }, "RPENSRSN": { "label": "GI: Reason for pension from company or union", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "3": "Survivor", "-1": "Not in Universe", "8": "No payment received", "6": "Retirement and survivor", "5": "Disability and Survivor", "7": "Disability, retirement, and survivor", "4": "Disability and retirement", "1": "Disability", "2": "Retirement" } } }, "LGTKEY": { "label": "PE: Person longitudinal key", "predicateType": "int", "group": "N/A", "limit": 0 }, "TFSOCSEC": { "label": "FA: Total Family Social Security Income Recode", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "range": [ { "min": "0", "max": "150000", "description": "Dollar amount" } ] } }, "A14AMT": { "label": "GI: Allocation flag for T14AMT", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Statistical imputation (hot deck)", "3": "Logical imputation (derivation)", "0": "Not imputed", "4": "Statistical or logical imputation using previous wave data", "2": "Cold deck imputation" } } }, "RINSRSN": { "label": "GI: Reason for payment from own insurance policy", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Disability", "-1": "Not in Universe", "8": "No payment received" } } }, "THAFDC": { "label": "HH: Total household public assistance payments", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "range": [ { "min": "0", "max": "150000", "description": "Dollar amount" } ] } }, "ESTSSI": { "label": "GI: Receipt of State administered SSI (ISS Code 4)", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Yes", "2": "No", "-1": "Not in Universe" } } }, "ABACHYR": { "label": "ET: Allocation flag for TBACHYR.", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "Not imputed", "2": "Cold deck", "1": "Statistical imputation(hot deck)", "3": "Logical imputation(derivation)" } } }, "UEVRDIV": { "label": "PE: UNEDITED VARIABLE - Has ... ever been divorced?", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Yes", "0": "Not answered", "2": "No", "6": "Don't know", "7": "Refused" } } }, "ERESNSS1": { "label": "GI: First reason for receipt of Social Security", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Retired", "2": "Disabled", "-1": "Not in Universe", "4": "Spouse or dependent child", "3": "Widowed or surviving child", "5": "Some other reason" } } }, "ABKFSYN": { "label": "PE: Allocation flag for EBKFSYN", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "3": "Logical imputation (derivation)", "0": "Not imputed", "2": "Cold deck imputation", "1": "Statistical imputation (hot deck)", "4": "Statistical or logical imputation using previous wave data" } } }, "ERESNSS2": { "label": "GI: Second reason for receipt of Social Security", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "2": "Disabled", "4": "Spouse or dependent child", "5": "Some other reason", "1": "Retired", "-1": "Not in Universe", "0": "Persons providing only one reason", "3": "Widowed or surviving child" } } }, "EPPINTVW": { "label": "PE: Person's interview status", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Interview (self)", "4": "Noninterview - pseudo Type Z. Left sample during the reference period", "5": "Children under 15 during reference period", "3": "Noninterview - Type Z", "2": "Interview (proxy)" } } }, "ABORNUS": { "label": "PE: Allocation flag for EBORNUS", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "4": "Statistical or logical imputation using previous wave data", "2": "Cold deck imputation", "0": "Not imputed", "3": "Logical imputation (derivation)", "1": "Statistical imputation (hot deck)" } } }, "RCUTYP58": { "label": "PE: Health ins coverage flag (not Medicare or Medicaid)", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "2": "No, not covered", "1": "Yes, covered" } } }, "RCUTYP57": { "label": "PE: Medicaid coverage flag", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Yes, covered", "2": "No, not covered" } } }, "TDIVINC": { "label": "AS: Total amount of all dividend income", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "None or not in universe" }, "range": [ { "min": "1", "max": "99999", "description": "Dollars" } ] } }, "EHHNUMPP": { "label": "HH: Total number of persons in this household in this month", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "range": [ { "min": "1", "max": "30", "description": "Number of persons in household" } ] } }, "ANATCIT": { "label": "PE: Allocation flag for ENATCIT", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "2": "Cold deck imputation", "4": "Statistical or logical imputation using previous wave data", "0": "Not imputed", "3": "Logical imputation (derivation)", "1": "Statistical imputation (hot deck)" } } }, "EHRSBS2": { "label": "BS: Usual hours worked per week", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "-1": "Not in Universe", "-8": "Hours vary" }, "range": [ { "min": "1", "max": "99", "description": "Hours" } ] } }, "EHRSBS1": { "label": "BS: Usual hours worked per week", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "-1": "Not in Universe", "-8": "Hours vary" }, "range": [ { "min": "1", "max": "99", "description": "Hours" } ] } }, "AMOONLIT": { "label": "LF: Allocation flag for EMOONLIT", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "Not imputed", "2": "Cold deck imputation", "1": "Statistical imputation(hot deck)", "3": "Logical imputation(derivation)", "4": "Statistical or logical imputation using previous wave data" } } }, "EADJUST": { "label": "MG: Whether status has changed to permanent resident", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Yes", "2": "No", "-1": "Not in Universe" } } }, "T60AMTT": { "label": "GI: Amount of transportation assistance-subway tokens", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "None or not in universe" }, "range": [ { "min": "1", "max": "340", "description": "Amount in dollars" } ] } }, "ATRN1TIM": { "label": "ET: Allocation flag for ETRN1TIM.", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "Not imputed", "1": "Statistical imputation(hot deck)", "2": "Cold deck", "3": "Logical imputation(derivation)" } } }, "APAYHR1": { "label": "JB: Allocation flag for EPAYHR1", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "Not imputed", "2": "Cold deck imputation", "1": "Statistical imputation(hot deck)", "3": "Logical imputation(derivation)", "4": "Statistical or logical imputation using previous wave data" } } }, "APAYHR2": { "label": "JB: Allocation flag for EPAYHR2", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "4": "Statistical or logical imputation using previous wave data", "0": "Not imputed", "1": "Statistical imputation(hot deck)", "3": "Logical imputation(derivation)", "2": "Cold deck imputation" } } }, "TSFEARN": { "label": "SF: Total related subfamily earned income for this month", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "None or not in universe" }, "range": [ { "min": "-1500000", "max": "1500000", "description": "Dollar amount" } ] } }, "EINTRN1": { "label": "ET: Length of time training expected to take?", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Less than 1 full day (less than 8 hours)", "2": "1 Day to 1 week (8-40 hours)", "-1": "Not in Universe", "3": "More than 1 week (more than 40 hours)" } } }, "T60AMTG": { "label": "GI: Amount of transportation assistance-gas vouchers", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "None or not in universe" }, "range": [ { "min": "1", "max": "1200", "description": "Amount in dollars" } ] } }, "ECDJT": { "label": "AS: Jointly owned certificates of deposit", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "2": "No", "1": "Yes", "-1": "Not in Universe" } } }, "EJBATRN1": { "label": "ET: Did... use this training to get current/new job?", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "2": "No", "1": "Yes", "-1": "Not in Universe" } } }, "ABFBSTOP": { "label": "FH: Allocation flag for EBFBSTOP", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "2": "Cold deck", "3": "Logical imputation(derivation)", "0": "Not imputed", "1": "Statistical imputation(hot deck)", "4": "Imputed based on previous wave data" } } }, "T42AMT": { "label": "GI: Amount of draw from an IRA/KEOGH/401k or Thrift Plan", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "None or not in universe" }, "range": [ { "min": "1", "max": "40000", "description": "Amount in dollars" } ] } }, "ESANYCHK": { "label": "AS: Dividend check for jointly or solely held stocks", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Yes", "2": "No", "-1": "Not in Universe" } } }, "AGVOAST": { "label": "AS: Allocation flag for EGVOAST", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "Not imputed", "3": "Logical imputation (derivation)", "4": "Statistical or logical imputation using previous wave data", "2": "Cold deck imputation", "1": "Statistical imputation (hot deck)" } } }, "EINTRN2": { "label": "ET: How long is this training expected to take?", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "3": "More than 1 week (more than 40 hours)", "-1": "Not in Universe", "1": "Less than 1 full day (less than 8 hours)", "2": "1 Day to 1 week (8 - 40 hours)" } } }, "EWRKEXP2": { "label": "GI: Worked to receive cash assistance", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "2": "No", "1": "Yes", "-1": "Not in Universe" } } }, "EWRKEXP3": { "label": "GI: Worked in a work experience program", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Required to do work experience program", "3": "Both required and chose", "2": "Chose to do work experience program", "-1": "Not in Universe" } } }, "AAGE": { "label": "PE: Allocation flag for TAGE", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "Not imputed", "3": "Logical imputation (derivation)", "2": "Cold deck imputation", "4": "Statistical or logical imputation using previous wave data", "1": "Statistical imputation (hot deck)" } } }, "APNSPOUS": { "label": "PE: Allocation flag for EPNSPOUS", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "4": "Statistical or logical imputation using previous wave data", "0": "Not imputed", "2": "Cold deck imputation", "3": "Logical imputation (derivation)", "1": "Statistical imputation (hot deck)" } } }, "AASSOCFD": { "label": "ET: Allocation flag for EASSOCFD.", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Statistical imputation(hot deck)", "0": "Not imputed", "3": "Logical imputation(derivation)", "2": "Cold deck" } } }, "RFNSSR": { "label": "FA: Number of Social Security recipients in family", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "range": [ { "min": "0", "max": "30", "description": "Number of recipients" } ] } }, "ESPEAK": { "label": "HH: Speak language other than English", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "-1": "Not in Universe", "1": "Yes", "2": "No" } } }, "T20AMT": { "label": "GI: Amount of public assistance payments (ISS Code 20)", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "None or not in universe" }, "range": [ { "min": "1", "max": "99999", "description": "Amount in dollars" } ] } }, "TCKOINT": { "label": "AS: Amount of monthly interest from own checking account", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "None or not in universe" }, "range": [ { "min": "1", "max": "280", "description": "Dollars" } ] } }, "THINOYR": { "label": "HI: In what year was...last not covered by health ins?", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "-1": "Not in Universe" }, "range": [ { "min": "1954", "max": "2030", "description": "Last year not covered" } ] } }, "EEGYAMT": { "label": "HH: Amount of energy assistance", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "None or not in universe" }, "range": [ { "min": "1", "max": "99999", "description": "Dollar amount" } ] } }, "AUNION2": { "label": "JB: Allocation flag for EUNION2", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "2": "Cold deck imputation", "0": "Not imputed", "3": "Logical imputation(derivation)", "1": "Statistical imputation(hot deck)", "4": "Statistical or logical imputation using previous wave data" } } }, "EJOBTRN2": { "label": "ET: Has... used this training on... current job?", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "-1": "Not in Universe", "1": "Yes", "2": "No" } } }, "AUNION1": { "label": "JB: Allocation flag for EUNION1", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "Not imputed", "4": "Statistical or logical imputation using previous wave data", "2": "Cold deck imputation", "3": "Logical imputation(derivation)", "1": "Statistical imputation(hot deck)" } } }, "RTRN2USE": { "label": "ET: Recode training past yr used in current or recent jb", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "2": "No", "-1": "Not in Universe", "1": "Yes" } } }, "EMNCOND": { "label": "WD: Health condition responsible for work limitation", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "28": "Thyroid trouble or goiter", "30": "Other", "13": "Head or spinal cord injury", "7": "Cancer", "23": "Multiple sclerosis (MS)", "29": "Tumor, cyst or growth", "12": "Epilepsy or seizures", "3": "Arthritis or rheumatism", "6": "Broken bone/fracture", "18": "Learning disability", "19": "Lung or respiratory trouble", "27": "Stroke", "15": "Hernia", "1": "Alcohol or drug problem or disorder", "2": "AIDS or AIDS Related Condition (ARC)", "20": "Mental or emotional conditions", "24": "Paralysis of any kind", "10": "Deafness or serious trouble hearing", "-1": "Not in Universe", "17": "Kidney stones/kidney trouble", "4": "Back or spine problems", "5": "Blindness or vision problems", "11": "Diabetes", "16": "High blood pressure", "8": "Carpal tunnel syndrome", "9": "Cerebral Palsy", "21": "Mental retardation", "22": "Missing limbs/foot/hand/finger", "26": "Stomach trouble", "14": "Heart trouble (Heart attack/disease)", "25": "Stiff/deformed/foot/hand/finger" } } }, "EPDJBTHN": { "label": "LF: Paid job during the reference period", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "2": "No", "1": "Yes", "-1": "Not in Universe" } } }, "A36AMT": { "label": "GI: Allocation flag for T36AMT", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "4": "Statistical or logical imputation using previous wave data", "0": "Not imputed", "3": "Logical imputation (derivation)", "2": "Cold deck imputation", "1": "Statistical imputation (hot deck)" } } }, "ROS2": { "label": "GI: Reason for stopping Other Welfare the second time", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "2": "Became ineligible because of family changes", "-1": "Not in Universe", "7": "Other, specify", "3": "Still eligible but could not/chose not to collect", "4": "Became ineligible because program requirements were not met", "1": "Became ineligible because of increased income", "5": "Eligibility ran out because of time limits", "6": "The money is not worth it" } } }, "ROS1": { "label": "GI: Reason for stopping Other Welfare the first time", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Became ineligible because of increased income", "3": "Still eligible but could not/chose not to collect", "4": "Became ineligible because program requirements were not met", "5": "Eligibility ran out because of time limits", "6": "The money is not worth it", "2": "Became ineligible because of family changes", "-1": "Not in Universe", "7": "Other, specify" } } }, "AFOODSCE": { "label": "GI: Allocation flag for EFOODSC1-EFOODSC4", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "4": "Statistical or logical imputation using previous wave data", "0": "Not imputed", "1": "Statistical imputation (hot deck)", "2": "Cold deck imputation", "3": "Logical imputation (derivation)" } } }, "RSTATRSN": { "label": "GI: Reason for receipt of state government pension", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "7": "Disability, retirement, and survivor", "5": "Disability and Survivor", "6": "Retirement and survivor", "3": "Survivor", "4": "Disability and retirement", "8": "No payment received", "1": "Disability", "2": "Retirement", "-1": "Not in Universe" } } }, "THTOTINC": { "label": "HH: Total household income", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "range": [ { "min": "-1500000", "max": "1500000", "description": "Dollar amount" } ] } }, "ARACE": { "label": "PE: Allocation flag for ERACE", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "2": "Cold deck imputation", "1": "Statistical imputation (hot deck)", "3": "Logical imputation (derivation)", "4": "Statistical or logical imputation using previous wave data", "0": "Not imputed" } } }, "T32AMT": { "label": "GI: Amount of U.S. Military retirement pay", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "None or not in universe" }, "range": [ { "min": "1", "max": "20000", "description": "Amount in dollars" } ] } }, "EPAYHR2": { "label": "JB: Paid by the hour", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Yes (paid by the hour)", "2": "No (set annual salary or other way)", "-1": "Not in Universe" } } }, "EPAYHR1": { "label": "JB: Paid by the hour", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Yes (paid by the hour)", "-1": "Not in Universe", "2": "No (set annual salary or other way)" } } }, "ROTHRRSN": { "label": "GI: Reason for receipt of 'other' retirement income", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "3": "Suvivor", "-1": "Not in Universe", "6": "Retirement and survivor", "5": "Disability and Survivor", "2": "Retirement", "7": "Disability, retirement, and survivor", "8": "No payment received", "1": "Disability", "4": "Disability and retirement" } } }, "AHEMPLY": { "label": "HI: Allocation flag for EHEMPLY", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "Not imputed", "4": "Statistical or logical imputation using previous wave data", "1": "Statistical imputation (hot deck)", "2": "Cold deck imputation", "3": "Logical imputation (derivation)" } } }, "AWICYN": { "label": "GI: Allocation flag for EWICYN", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "2": "Cold deck imputation", "0": "Not imputed", "3": "Logical imputation (derivation)", "4": "Statistical or logical imputation using previous wave data", "1": "Statistical imputation (hot deck)" } } }, "EHICVMTH": { "label": "HI: What month was ... last covered by health ins", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "-1": "Not in Universe" }, "range": [ { "min": "1", "max": "12", "description": "Month last covered" } ] } }, "RHCALMN": { "label": "SU: Calendar month for this reference month.", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "11": "November", "8": "August", "3": "March", "4": "April", "5": "May", "1": "January", "2": "February", "12": "December", "10": "October", "7": "July", "9": "September", "6": "June" } } }, "AHOWWELL": { "label": "HH: Allocation flag for EHOWWELL", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "Not imputed", "2": "Cold deck imputation", "3": "Logical imputation (derivation)", "4": "Statistical or logical imputation using previous wave data", "1": "Statistical imputation (hot deck)" } } }, "AOACLR": { "label": "AS: Allocation flag for TOACLR", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "Not imputed", "2": "Cold deck imputation", "1": "Statistical imputation (hot deck)", "3": "Logical imputation (derivation)", "4": "Statistical or logical imputation using previous wave data", "6": "Derived from range based values" } } }, "APMSUM1": { "label": "JB: Allocation flag for TPMSUM1", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "2": "Cold deck imputation", "0": "Not imputed", "3": "Logical imputation(derivation)", "1": "Statistical imputation(hot deck)", "4": "Statistical or logical imputation using previous wave data" } } }, "APMSUM2": { "label": "JB: Allocation flag for TPMSUM2", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Statistical imputation(hot deck)", "4": "Statistical or logical imputation using previous wave data", "0": "Not imputed", "2": "Cold deck imputation", "3": "Logical imputation(derivation)" } } }, "EJNTSSYN": { "label": "GI: Receipt of joint Social Security payments with spouse", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "-1": "Not in Universe", "2": "No", "1": "Yes" } } }, "A24AMT": { "label": "GI: Allocation flag for T24AMT", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Statistical imputation (hot deck)", "4": "Statistical or logical imputation using previous wave data", "0": "Not imputed", "2": "Cold deck imputation", "3": "Logical imputation (derivation)" } } }, "EPNMOM": { "label": "PE: Person number of mother", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "9999": "No mother in household" }, "range": [ { "min": "101", "max": "1399", "description": "Person number" } ] } }, "AGASSCE": { "label": "GI: Allocation flag for EGASSCE1-EGASSCE2", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Statistical imputation (hot deck)", "0": "Not imputed", "3": "Logical imputation (derivation)", "4": "Statistical or logical imputation using previous wave data", "2": "Cold deck imputation" } } }, "EPUBHSTP": { "label": "GI: Type of housing assistance ... received", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Section 8", "2": "Other rental assistance", "3": "Other housing program", "4": "Not sure; don't know", "-1": "Not in Universe" } } }, "ACOLLVOC": { "label": "ED: Allocation flag for RCOLLVOC", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "2": "Cold deck imputation", "4": "Statistical or logical imputation using previous wave data", "1": "Statistical imputation (hot deck)", "3": "Logical imputation (derivation)", "0": "Not imputed" } } }, "RSFPOV": { "label": "SF: Poverty threshold for this related subfamily", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "Not In Universe" }, "range": [ { "min": "1", "max": "5000", "description": "Dollar amount" } ] } }, "EHIEVRCV": { "label": "HI: Has ... ever been covered by health insurance", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "-1": "Not in Universe", "1": "Yes", "2": "No" } } }, "TSVOINT": { "label": "AS: Amount of monthly interest from own savings account", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "None or not in universe" }, "range": [ { "min": "1", "max": "660", "description": "Dollars" } ] } }, "ESOTHDIV": { "label": "AS: Dividends credited to margin account", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Yes", "-1": "Not in Universe", "2": "No" } } }, "TSJNTDIV": { "label": "AS: Amount of dividend check from jointly held stocks", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "None or not in universe" }, "range": [ { "min": "1", "max": "2200", "description": "Dollars" } ] } }, "EGRSSB2": { "label": "BS: Earnings level last 12 months", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "-1": "Not in Universe", "1": "Yes", "2": "No" } } }, "AGRNDPR": { "label": "FH: Allocation flag for EGRNDPR", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "4": "Imputed based on previous wave data", "2": "Cold deck", "1": "Statistical imputation(hot deck)", "0": "Not imputed", "3": "Logical imputation(derivation)" } } }, "A02AMT": { "label": "GI: Allocation flag for T02AMT", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Statistical imputation (hot deck)", "2": "Cold deck imputation", "3": "Logical imputation (derivation)", "4": "Statistical or logical imputation using previous wave data", "0": "Not imputed" } } }, "RFB2R2": { "label": "GI: 2nd reason for applying for food stamps the 2nd time", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "6": "No change - just decided it was time", "7": "No change - just heard about the program", "-1": "Not in Universe", "1": "New child (or other dependent) or pregnancy", "3": "Job loss or wages reduced", "4": "Loss or reduction of other income", "2": "Separation, divorced or widowed", "5": "Became disabled or otherwise unable to work", "8": "Needed to re-certify", "9": "Other" } } }, "ACDMTH": { "label": "HI: Allocation flag for ECDMTH", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Statistical imputation (hot deck)", "3": "Logical imputation (derivation)", "0": "Not imputed", "2": "Cold deck imputation", "4": "Statistical or logical imputation using previous wave data" } } }, "RFB2R1": { "label": "GI: 1st reason for applying for food stamps the 2nd time", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "-1": "Not in Universe", "7": "No change - just heard about the program", "8": "Needed to re-certify", "5": "Became disabled or otherwise unable to work", "2": "Separation, divorced or widowed", "9": "Other", "1": "New child (or other dependent) or pregnancy", "3": "Job loss or wages reduced", "4": "Loss or reduction of other income", "6": "No change - just decided it was time" } } }, "ASMYEAR": { "label": "MH: Allocation flag for TSMYEAR", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "2": "Cold deck", "1": "Statistical imputation(hot deck)", "3": "Logical imputation(derivation)", "0": "Not imputed" } } }, "ENONHH": { "label": "HI: Covered by plan owned by person outside household", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Yes", "2": "No" } } }, "EPTWRK": { "label": "LF: Worked less than 35 hours some weeks", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "2": "No", "1": "Yes", "-1": "Not in Universe" } } }, "TSVJTINT": { "label": "AS: Amount of monthly interest on joint savings account", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "None or not in universe" }, "range": [ { "min": "1", "max": "500", "description": "Dollars" } ] } }, "AVETTYP": { "label": "AF: Allocation flag for EVETTYP", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "Not imputed", "3": "Logical imputation (derivation)", "2": "Cold deck imputation", "4": "Statistical or logical imputation using previous wave data", "1": "Statistical imputation (hot deck)" } } }, "ATYP1TR": { "label": "ET: Allocation flag for ETYP1TR.", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Statistical imputation(hot deck)", "3": "Logical imputation(derivation)", "2": "Cold deck", "0": "Not imputed" } } }, "T10AMT": { "label": "GI: Amount of workers' compensation (ISS Code 10)", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "None or not in universe" }, "range": [ { "min": "1", "max": "99999", "description": "Amount in dollars" } ] } }, "ESFSPSE": { "label": "SF: Person number of spouse of related subfam ref person", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "9999": "No spouse in subfamily", "-1": "Not in Universe" }, "range": [ { "min": "101", "max": "1399", "description": "Person number of spouse of related subfamily reference person" } ] } }, "AVOCAT": { "label": "ED: Allocation flag for EVOCAT", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "2": "Cold deck imputation", "4": "Statistical or logical imputation using previous wave data", "1": "Statistical imputation (hot deck)", "0": "Not imputed", "3": "Logical imputation (derivation)" } } }, "EFBLIVNW": { "label": "FH: Place where the first born child lives now", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "3": "With his/her own father", "2": "In his/her own household", "7": "In foster care/foster family", "14": "Refused", "8": "In an institution (hospital)", "12": "Other", "13": "Don't know", "9": "In school dormitory", "5": "With an adoptive parent(s)", "10": "In correctional facility", "4": "With his/her own grandparent(s)", "6": "With other relatives", "11": "Deceased", "-1": "Not in Universe", "1": "In this household" } } }, "ASVOINT": { "label": "AS: Allocation flag for TSVOINT", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "6": "Derived from range based values", "2": "Cold deck imputation", "3": "Logical imputation (derivation)", "0": "Not imputed", "4": "Statistical or logical imputation using previous wave data", "1": "Statistical imputation (hot deck)" } } }, "APSSTHRU": { "label": "GI: Allocation flag for EPSSTHRU", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Statistical imputation (hot deck)", "3": "Logical imputation (derivation)", "2": "Cold deck imputation", "4": "Statistical or logical imputation using previous wave data", "0": "Not imputed" } } }, "ABIZNOW2": { "label": "BS: Allocation flag for EBIZNOW2", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "Not imputed", "2": "Cold deck imputation", "4": "Statistical or logical imputation using previous wave data", "1": "Statistical imputation(hot deck)", "3": "Logical imputation(derivation)" } } }, "ESSCHILD": { "label": "GI: Receipt of Social Security payments for children", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Yes", "-1": "Not in Universe", "2": "No" } } }, "AAGESS": { "label": "GI: Allocation flag for TAGESS", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "Not imputed", "1": "Statistical imputation (hot deck)", "2": "Cold deck imputation", "3": "Logical imputation (derivation)" } } }, "ABIZNOW1": { "label": "BS: Allocation flag for EBIZNOW1", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "3": "Logical imputation(derivation)", "0": "Not imputed", "1": "Statistical imputation(hot deck)", "2": "Cold deck imputation", "4": "Statistical or logical imputation using previous wave data" } } }, "TCSAGY": { "label": "GI: Amount received by Agency on ...'s behalf", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "None or not in universe" }, "range": [ { "min": "1", "max": "99999", "description": "Amount in dollars" } ] } }, "RMILRSN": { "label": "GI: Reason for receipt of U.S. military retirement", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "3": "Survivor", "5": "Disability and Survivor", "1": "Disability", "-1": "Not in Universe", "4": "Disability and retirement", "8": "No payment received", "7": "Disability, retirement, and survivor", "2": "Retirement", "6": "Retirement and survivor" } } }, "AOARNT": { "label": "AS: Allocation flag for TOARNT", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Statistical imputation (hot deck)", "6": "Derived from range based values", "3": "Logical imputation (derivation)", "2": "Cold deck imputation", "0": "Not imputed", "4": "Statistical or logical imputation using previous wave data" } } }, "A60AMTG": { "label": "GI: Allocation flag for T60AMTG", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "4": "Statistical or logical imputation using previous wave data", "0": "Not imputed", "1": "Statistical imputation (hot deck)", "3": "Logical imputation (derivation)", "2": "Cold deck imputation" } } }, "EVETTYP": { "label": "AF: Type of Veteran's payments", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "3": "Veteran's Pension", "-1": "Not in Universe", "4": "Other Veteran's Payments", "1": "Service-connected disability compensation", "2": "Survivor Benefits" } } }, "EFSYN": { "label": "GI: Receipt of food stamps (ISS Code 27)", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Yes", "-1": "Not in Universe", "2": "No" } } }, "EAFRUNV": { "label": "FH: Universe indicator", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "In universe", "-1": "Not in Universe" } } }, "AGVJT": { "label": "AS: Allocation flag for EGVJT", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "4": "Statistical or logical imputation using previous wave data", "1": "Statistical imputation (hot deck)", "2": "Cold deck imputation", "3": "Logical imputation (derivation)", "0": "Not imputed" } } }, "AOINCB1": { "label": "BS: Allocation flag for EOINCB1", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "2": "Cold deck imputation", "1": "Statistical imputation(hot deck)", "0": "Not imputed", "3": "Logical imputation(derivation)", "4": "Statistical or logical imputation using previous wave data" } } }, "RFCHANGE": { "label": "FA: Change in family composition from previous month", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Change occurred", "2": "No change occurred" } } }, "RLGOVRSN": { "label": "GI: Reason for receipt of local government pension", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "-1": "Not in Universe", "8": "No payment received", "6": "Retirement and survivor", "7": "Disability, retirement, and survivor", "5": "Disability and Survivor", "2": "Retirement", "1": "Disability", "3": "Survivor", "4": "Disability and retirement" } } }, "APRFTB2": { "label": "BS: Allocation flag for TPRFTB2", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "Not imputed", "4": "Statistical or logical imputation using previous wave data", "3": "Logical imputation(derivation)", "2": "Cold deck imputation", "1": "Statistical imputation(hot deck)" } } }, "APRFTB1": { "label": "BS: Allocation flag for TPRFTB1", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "Not imputed", "2": "Cold deck imputation", "1": "Statistical imputation(hot deck)", "4": "Statistical or logical imputation using previous wave data", "3": "Logical imputation(derivation)" } } }, "EGRSSB1": { "label": "BS: Earnings level last 12 months", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "2": "No", "-1": "Not in Universe", "1": "Yes" } } }, "ARELAT30": { "label": "RL: Flag indicating whether ERELAT30 was allocated.", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "3": "Logical imputation(derivation)", "0": "No imputation", "2": "Cold deck", "4": "Imputed based on previous wave data", "1": "Statistical imputation(hot deck)" } } }, "EWELACT4": { "label": "GI: Participate in a work experience", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "-1": "Not in Universe", "1": "Yes", "2": "No" } } }, "EWELACT3": { "label": "GI: Did ... attend job training", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Required to", "-1": "Not in Universe", "3": "Both required and chose", "2": "Chose to" } } }, "EPRLUNV": { "label": "RL: Universe indicator", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "2": "Not in universe", "1": "In universe" } } }, "AOCCTIM1": { "label": "JB: Allocation flag for EOCCTIM1", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Statistical imputation(hot deck)", "2": "Cold deck imputation", "0": "Not imputed", "3": "Logical imputation(derivation)" } } }, "EWELACT1": { "label": "GI: Attend classes to improve basic reading", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "-1": "Not in Universe", "1": "Yes", "2": "No" } } }, "AHRSBS1": { "label": "BS: Allocation flag for EHRSBS1", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "Not imputed", "1": "Statistical imputation(hot deck)", "3": "Logical imputation(derivation)", "2": "Cold deck imputation", "4": "Statistical or logical imputation using previous wave data" } } }, "AHRSBS2": { "label": "BS: Allocation flag for EHRSBS2", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Statistical imputation(hot deck)", "3": "Logical imputation(derivation)", "4": "Statistical or logical imputation using previous wave data", "2": "Cold deck imputation", "0": "Not imputed" } } }, "ARELAT29": { "label": "RL: Flag indicating whether ERELAT29 was allocated.", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Statistical imputation(hot deck)", "3": "Logical imputation(derivation)", "0": "No imputation", "4": "Imputed based on previous wave data", "2": "Cold deck" } } }, "AROLLAMT": { "label": "GI: Allocation flag for TROLLAMT", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "2": "Cold deck imputation", "0": "Not imputed", "4": "Statistical or logical imputation using previous wave data", "1": "Statistical imputation (hot deck)", "3": "Logical imputation (derivation)" } } }, "ARELAT28": { "label": "RL: Flag indicating whether ERELAT28 was allocated.", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "No imputation", "3": "Logical imputation(derivation)", "1": "Statistical imputation(hot deck)", "4": "Imputed based on previous wave data", "2": "Cold deck" } } }, "ARELAT27": { "label": "RL: Flag indicating whether ERELAT27 was allocated.", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Statistical imputation(hot deck)", "3": "Logical imputation(derivation)", "0": "No imputation", "4": "Imputed based on previous wave data", "2": "Cold deck" } } }, "EHEMPLY": { "label": "HI: Source of health insurance", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "8": "Other", "6": "Military/VA health care", "5": "CHAMPVA", "7": "Privately purchased", "-1": "Not in Universe", "4": "TRICARE/CHAMPUS", "1": "Current employer or work", "2": "Former employer", "3": "Union" } } }, "AOCCTIM2": { "label": "JB: Allocation flag for EOCCTIM2", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "2": "Cold deck imputation", "3": "Logical imputation(derivation)", "0": "Not imputed", "1": "Statistical imputation(hot deck)" } } }, "TSUNEMP": { "label": "SF: Total related subfamily unemployment income recode", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "None or not in universe" }, "range": [ { "min": "1", "max": "150000", "description": "Dollar amount" } ] } }, "EJOBCNTR": { "label": "LF: Number of jobs held during the reference period", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "Contingent worker", "-1": "Not in Universe" }, "range": [ { "min": "1", "max": "25", "description": "Number of jobs (excluding businesses and other work-arrangements) held during the refe" } ] } }, "EGVOAST": { "label": "AS: Solely owned U.S. Government securities", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "2": "No", "-1": "Not in Universe", "1": "Yes" } } }, "AINTRN2": { "label": "ET: Allocation flag for EINTRN2.", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Statistical imputation(hot deck)", "2": "Cold deck", "3": "Logical imputation(derivation)", "0": "Not imputed" } } }, "EMANYCHK": { "label": "AS: Dividend check from joint/sole owned mutual funds", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "2": "No", "-1": "Not in Universe", "1": "Yes" } } }, "RGED": { "label": "ED: Completed high school by GED or equivalency", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "2": "No (Graduated from high school)", "1": "Yes (GED)", "-1": "Not in Universe" } } }, "EAWOP": { "label": "LF: Had full-week unpaid absences from work", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Yes", "-1": "Not in Universe", "2": "No" } } }, "EMOTHDIV": { "label": "AS: Dividends credited against margin accounts", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "-1": "Not in Universe", "1": "Yes", "2": "No" } } }, "ARELAT26": { "label": "RL: Flag indicating whether ERELAT26 was allocated.", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "2": "Cold deck", "3": "Logical imputation(derivation)", "4": "Imputed based on previous wave data", "0": "No imputation", "1": "Statistical imputation(hot deck)" } } }, "ARELAT25": { "label": "RL: Flag indicating whether ERELAT25 was allocated.", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Statistical imputation(hot deck)", "2": "Cold deck", "4": "Imputed based on previous wave data", "3": "Logical imputation(derivation)", "0": "No imputation" } } }, "A60AMTT": { "label": "GI: Allocation flag for T60AMTT", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "Not imputed", "2": "Cold deck imputation", "1": "Statistical imputation (hot deck)", "4": "Statistical or logical imputation using previous wave data", "3": "Logical imputation (derivation)" } } }, "ARELAT24": { "label": "RL: Flag indicating whether ERELAT24 was allocated.", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "No imputation", "2": "Cold deck", "3": "Logical imputation(derivation)", "1": "Statistical imputation(hot deck)", "4": "Imputed based on previous wave data" } } }, "ARELAT23": { "label": "RL: Flag indicating whether ERELAT23 was allocated.", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "2": "Cold deck", "1": "Statistical imputation(hot deck)", "3": "Logical imputation(derivation)", "4": "Imputed based on previous wave data", "0": "No imputation" } } }, "AFRINHH": { "label": "FH: Allocation flag for TFRINHH", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Statistical imputation(hot deck)", "0": "Not imputed", "2": "Cold deck", "3": "Logical imputation(derivation)", "4": "Imputed based on previous wave data" } } }, "ARELAT22": { "label": "RL: Flag indicating whether ERELAT22 was allocated.", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "No imputation", "1": "Statistical imputation(hot deck)", "3": "Logical imputation(derivation)", "4": "Imputed based on previous wave data", "2": "Cold deck" } } }, "ARELAT21": { "label": "RL: Flag indicating whether ERELAT21 was allocated.", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "No imputation", "4": "Imputed based on previous wave data", "1": "Statistical imputation(hot deck)", "3": "Logical imputation(derivation)", "2": "Cold deck" } } }, "ESOWNKID": { "label": "SF: Number of own children in related subfamily", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "No children", "-1": "Not in Universe" }, "range": [ { "min": "1", "max": "30", "description": "Number of children" } ] } }, "TFMYEAR": { "label": "MH: Edited year of first marriage.", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "-1": "Not in Universe" }, "range": [ { "min": "1946", "max": "2009", "description": "Year of first marriage" } ] } }, "ARELAT20": { "label": "RL: Flag indicating whether ERELAT20 was allocated.", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "4": "Imputed based on previous wave data", "0": "No imputation", "1": "Statistical imputation(hot deck)", "2": "Cold deck", "3": "Logical imputation(derivation)" } } }, "AINTRN1": { "label": "ET: Allocation flag for EINTRN1.", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "3": "Logical imputation(derivation)", "2": "Cold deck", "0": "Not imputed", "1": "Statistical imputation(hot deck)" } } }, "AREBATOC": { "label": "TXR: Allocation flag for EREBATOC", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Statistical imputation (hot deck)", "3": "Logical imputation (derivation)", "4": "Imputed based on previous wave data", "0": "Not imputed", "2": "Cold deck imputation" } } }, "AOWNRNT": { "label": "AS: Allocation flag for EOWNRNT", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Statistical imputation (hot deck)", "4": "Statistical or logical imputation using previous wave data", "0": "Not imputed", "2": "Cold deck imputation", "3": "Logical imputation (derivation)" } } }, "ENWBTRN1": { "label": "ET: Looking for work that will utilize this training.", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Yes", "-1": "Not in Universe", "2": "No" } } }, "ARELAT19": { "label": "RL: Flag indicating whether ERELAT19 was allocated.", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "3": "Logical imputation(derivation)", "0": "No imputation", "4": "Imputed based on previous wave data", "2": "Cold deck", "1": "Statistical imputation(hot deck)" } } }, "ARELAT18": { "label": "RL: Flag indicating whether ERELAT18 was allocated.", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "2": "Cold deck", "4": "Imputed based on previous wave data", "3": "Logical imputation(derivation)", "0": "No imputation", "1": "Statistical imputation(hot deck)" } } }, "ANOWFPT": { "label": "WD: Allocation flag for ENOWFPT.", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "Not imputed", "3": "Logical imputation", "1": "Statistical imputation (hot deck)", "2": "Cold deck imputation" } } }, "ARELAT17": { "label": "RL: Flag indicating whether ERELAT17 was allocated.", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Statistical imputation(hot deck)", "3": "Logical imputation(derivation)", "4": "Imputed based on previous wave data", "0": "No imputation", "2": "Cold deck" } } }, "ECITIZNT": { "label": "MG: US Citizenship Status of Respondent", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Yes", "2": "No", "-1": "Not in Universe" } } }, "ARELAT16": { "label": "RL: Flag indicating whether ERELAT16 was allocated.", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "3": "Logical imputation(derivation)", "1": "Statistical imputation(hot deck)", "4": "Imputed based on previous wave data", "0": "No imputation", "2": "Cold deck" } } }, "T56AMT": { "label": "GI: Amount of miscellaneous cash income", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "None or not in universe" }, "range": [ { "min": "1", "max": "48000", "description": "Amount in dollars" } ] } }, "ASSISELF": { "label": "GI: Allocation flag for ESSISELF", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "3": "Logical imputation (derivation)", "4": "Statistical or logical imputation using previous wave data", "0": "Not imputed", "2": "Cold deck imputation", "1": "Statistical imputation (hot deck)" } } }, "EREBATE": { "label": "TXR: Tax rebate received yes or no", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Yes", "-1": "Not in Universe", "2": "No" } } }, "A34AMT": { "label": "GI: Allocation flag for T34AMT", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Statistical imputation (hot deck)", "3": "Logical imputation (derivation)", "2": "Cold deck imputation", "4": "Statistical or logical imputation using previous wave data", "0": "Not imputed" } } }, "EHIALLCV": { "label": "HI: Has ... always been covered by health insurance", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "-1": "Not in Universe", "1": "Yes", "2": "No" } } }, "TLASTCOL": { "label": "ET: In what year was... last enrolled in college?", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "-1": "Not in Universe" }, "range": [ { "min": "1952", "max": "2009", "description": "Yr last enrolled in post secondary institution" } ] } }, "ARELAT15": { "label": "RL: Flag indicating whether ERELAT15 was allocated.", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "4": "Imputed based on previous wave data", "0": "No imputation", "2": "Cold deck", "1": "Statistical imputation(hot deck)", "3": "Logical imputation(derivation)" } } }, "ARELAT14": { "label": "RL: Flag indicating whether ERELAT14 was allocated.", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "No imputation", "3": "Logical imputation(derivation)", "2": "Cold deck", "4": "Imputed based on previous wave data", "1": "Statistical imputation(hot deck)" } } }, "AWKLTYR": { "label": "WD: Allocation flag for TWKLTYR.", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "3": "Logical imputation", "0": "Not imputed", "1": "Statistical imputation (hot deck)", "2": "Cold deck imputation" } } }, "ARELAT13": { "label": "RL: Flag indicating whether ERELAT13 was allocated.", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "2": "Cold deck", "0": "No imputation", "4": "Imputed based on previous wave data", "1": "Statistical imputation(hot deck)", "3": "Logical imputation(derivation)" } } }, "ARELAT12": { "label": "RL: Flag indicating whether ERELAT12 was allocated.", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Statistical imputation(hot deck)", "0": "No imputation", "3": "Logical imputation(derivation)", "4": "Imputed based on previous wave data", "2": "Cold deck" } } }, "EHICOST": { "label": "HI: Employer/union paid all or part of health ins. costs", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "3": "None", "2": "Part", "1": "All", "-1": "Not in Universe" } } }, "ARELAT11": { "label": "RL: Flag indicating whether ERELAT11 was allocated.", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "4": "Imputed based on previous wave data", "3": "Logical imputation(derivation)", "1": "Statistical imputation(hot deck)", "2": "Cold deck", "0": "No imputation" } } }, "ACDBEGMO": { "label": "HI: Allocation flag for ECDBEGMO", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "2": "Cold deck", "1": "Statistical imputation (hot deck)", "3": "Logical imputation (derivation)", "0": "No imputation" } } }, "ARELAT10": { "label": "RL: Flag indicating whether ERELAT10 was allocated.", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "No imputation", "2": "Cold deck", "1": "Statistical imputation(hot deck)", "3": "Logical imputation(derivation)", "4": "Imputed based on previous wave data" } } }, "ACASHGVT": { "label": "GI: Allocation flag for CASHGVT", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Statistical imputation (hot deck)", "4": "Statistical or logical imputation using previous wave data", "0": "Not imputed", "2": "Cold deck imputation", "3": "Logical imputation (derivation)" } } }, "ABFBPGFT": { "label": "FH: Allocation flag for EBFBPGFT", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "Not imputed", "2": "Cold deck", "4": "Imputed based on previous wave data", "1": "Statistical imputation(hot deck)", "3": "Logical imputation(derivation)" } } }, "ARELAT09": { "label": "RL: Flag indicating whether ERELAT9 was allocated.", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "No imputation", "1": "Statistical imputation(hot deck)", "2": "Cold deck", "3": "Logical imputation(derivation)", "4": "Imputed based on previous wave data" } } }, "TSJADIV": { "label": "AS: Amount of dividend credited to a joint margin accnt", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "None or not in universe" }, "range": [ { "min": "1", "max": "3400", "description": "Dollars" } ] } }, "ARELAT08": { "label": "RL: Flag indicating whether ERELAT8 was allocated.", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "3": "Logical imputation(derivation)", "1": "Statistical imputation(hot deck)", "4": "Imputed based on previous wave data", "2": "Cold deck", "0": "No imputation" } } }, "ARELAT07": { "label": "RL: Flag indicating whether ERELAT07 was allocated.", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "3": "Logical imputation(derivation)", "0": "No imputation", "1": "Statistical imputation(hot deck)", "4": "Imputed based on previous wave data", "2": "Cold deck" } } }, "ARELAT06": { "label": "RL: Flag indicating whether ERELAT06 was allocated.", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "3": "Logical imputation(derivation)", "0": "No imputation", "2": "Cold deck", "1": "Statistical imputation(hot deck)", "4": "Imputed based on previous wave data" } } }, "ARELAT05": { "label": "RL: Flag indicating whether ERELAT05 was allocated.", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "4": "Imputed based on previous wave data", "0": "No imputation", "1": "Statistical imputation(hot deck)", "3": "Logical imputation(derivation)", "2": "Cold deck" } } }, "AHINOYR": { "label": "HI: Allocation flag for THINOYR", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Statistical imputation (hot deck)", "0": "No imputation", "2": "Cold deck", "3": "Logical imputation (derivation)" } } }, "EPREVBMO": { "label": "WD: Month the person became unable to work at a job", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "-3": "Has never been able to work at a job", "-1": "Not in Universe" }, "range": [ { "min": "1", "max": "12", "description": "Month" } ] } }, "EBDOAST": { "label": "AS: Solely owned municipal or corporate bonds", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Yes", "2": "No", "-1": "Not in Universe" } } }, "ANOWOCC": { "label": "WD: Allocation flag for ENOWOCC.", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "2": "Cold deck imputation", "0": "Not imputed", "3": "Logical imputation", "1": "Statistical imputation (hot deck)" } } }, "AEMPB2": { "label": "BS: Allocation flag for EEMPB2", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "2": "Cold deck imputation", "3": "Logical imputation(derivation)", "4": "Statistical or logical imputation using previous wave data", "1": "Statistical imputation(hot deck)", "0": "Not imputed" } } }, "T34AMT": { "label": "GI: Amount of State government pension (ISS Code 34)", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "None or not in universe" }, "range": [ { "min": "1", "max": "20000", "description": "Amount in dollars" } ] } }, "AEMPB1": { "label": "BS: Allocation flag for EEMPB1", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "2": "Cold deck imputation", "1": "Statistical imputation(hot deck)", "3": "Logical imputation(derivation)", "0": "Not imputed", "4": "Statistical or logical imputation using previous wave data" } } }, "RMESR": { "label": "LF: Employment status recode for month", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "6": "No job all month, on layoff or looking for work all weeks.", "8": "No job all month, no time on layoff and no time looking for work.", "2": "With a job entire month, absent from work without pay 1+ weeks, absence not due to layoff", "7": "No job all month, at least one but not all weeks on layoff or looking for work", "1": "With a job entire month, worked all weeks.", "3": "With a job entire month, absent from work without pay 1+ weeks, absence due to layoff", "-1": "Not in Universe", "4": "With a job at least 1 but not all weeks, no time on layoff and no time looking for work", "5": "With a job at least 1 but not all weeks, remaining weeks on layoff or looking for work" } } }, "TBDJTINT": { "label": "AS: Amt of monthly interest from joint municipal bonds", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "None or not in universe" }, "range": [ { "min": "1", "max": "6400", "description": "Dollars" } ] } }, "RGB2R1": { "label": "GI: 1st reason applying for General Asst the 2nd time", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "3": "Job loss or wages reduced", "5": "Became disabled or otherwise unable to work", "6": "No change - just decided it was time", "9": "Other", "-1": "Not in Universe", "7": "No change - just heard about the program", "8": "Needed to re-certify", "1": "New child (or other dependent) or pregnancy", "2": "Separation, divorce or widowed", "4": "Loss or reduction of other income" } } }, "RGB2R2": { "label": "GI: 2nd reason applying for General Asst the 2nd time", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "8": "Needed to re-certify", "5": "Became disabled or otherwise unable to work", "4": "Loss or reduction of other income", "9": "Other", "2": "Separation, divorce or widowed", "7": "No change - just heard about the program", "3": "Job loss or wages reduced", "1": "New child (or other dependent) or pregnancy", "-1": "Not in Universe", "6": "No change - just decided it was time" } } }, "APROPB1": { "label": "BS: Allocation flag for EPROPB1", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "3": "Logical imputation(derivation)", "4": "Statistical or logical imputation using previous wave data", "0": "Not imputed", "1": "Statistical imputation(hot deck)", "2": "Cold deck imputation" } } }, "UEVRWID": { "label": "PE: UNEDITED VARIABLE - Has ... ever been widowed?", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "Not answered", "7": "Refused", "2": "No", "6": "Don't know", "1": "Yes" } } }, "APROPB2": { "label": "BS: Allocation flag for EPROPB2", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "Not imputed", "1": "Statistical imputation(hot deck)", "4": "Statistical or logical imputation using previous wave data", "2": "Cold deck imputation", "3": "Logical imputation(derivation)" } } }, "TFTRNINC": { "label": "FA: Total family means-tested cash transfers for this month", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "range": [ { "min": "0", "max": "1500000", "description": "Dollar amount" } ] } }, "ARELAT04": { "label": "RL: Flag indicating whether ERELAT04 was allocated.", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Statistical imputation(hot deck)", "4": "Imputed based on previous wave data", "0": "No imputation", "2": "Cold deck", "3": "Logical imputation(derivation)" } } }, "ARELAT03": { "label": "RL: Flag indicating whether ERELAT3 was allocated.", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "No imputation", "1": "Statistical imputation(hot deck)", "4": "Imputed based on previous wave data", "2": "Cold deck", "3": "Logical imputation(derivation)" } } }, "TMOWNADV": { "label": "AS: Amount of dividends credited to own margin account", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "None or not in universe" }, "range": [ { "min": "1", "max": "4400", "description": "Dollars" } ] } }, "ARELAT02": { "label": "RL: Flag indicating whether ERELAT2 was allocated.", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Statistical imputation(hot deck)", "3": "Logical imputation(derivation)", "0": "No imputation", "2": "Cold deck", "4": "Imputed based on previous wave data" } } }, "RMEDCODE": { "label": "HI: 1 digit number indicating type of Medicare Coverage", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "-1": "Not in Universe", "5": "Uninsured", "7": "Other or invalid code", "1": "Retired or disabled worker", "9": "Missing code", "2": "Spouse of retired or disabled worker", "3": "Widow of retired or disabled worker", "4": "Adult disabled as a child" } } }, "ARELAT01": { "label": "RL: Flag indicating whether ERELAT1 was allocated.", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "4": "Imputed based on previous wave data", "1": "Statistical imputation(hot deck)", "3": "Logical imputation(derivation)", "0": "No imputation", "2": "Cold deck" } } }, "AJBHRS2": { "label": "JB: Allocation flag for EJBHRS2", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "2": "Cold deck imputation", "3": "Logical imputation(derivation)", "0": "Not imputed", "1": "Statistical imputation(hot deck)", "4": "Statistical or logical imputation using previous wave data" } } }, "AJBHRS1": { "label": "JB: Allocation flag for EJBHRS1", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "4": "Statistical or logical imputation using previous wave data", "0": "Not imputed", "1": "Statistical imputation(hot deck)", "3": "Logical imputation(derivation)", "2": "Cold deck imputation" } } }, "EFKIND": { "label": "FA: Kind of family (or pseudo-family)", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "2": "Male Headed", "1": "Headed by Husband/Wife", "3": "Female Headed" } } }, "T35AMT": { "label": "GI: Amount of local government pension (ISS Code 35)", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "None or not in universe" }, "range": [ { "min": "1", "max": "22000", "description": "Amount in dollars" } ] } }, "ECONENRL": { "label": "ET: Not counting the summer and winter breaks...", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Yes", "2": "No", "-1": "Not in Universe" } } }, "ATOKSCE": { "label": "GI: Allocation flag for ETOKSCE1-ETOKSCE2", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "2": "Cold deck imputation", "4": "Statistical or logical imputation using previous wave data", "3": "Logical imputation (derivation)", "0": "Not imputed", "1": "Statistical imputation (hot deck)" } } }, "AASETDRW": { "label": "GI: Allocation flag for EASETDRW", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "4": "Statistical or logical imputation using previous wave data", "0": "Not imputed", "1": "Statistical imputation (hot deck)", "2": "Cold deck imputation", "3": "Logical imputation (derivation)" } } }, "ATENURE": { "label": "HH: Allocation flag for ETENURE", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "3": "Logical imputation (derivation)", "0": "No imputation", "4": "Statistical or logical imputation using previous wave data", "2": "Cold deck imputation", "1": "Statistical imputation (hot deck)" } } }, "EPARTB12": { "label": "BS: Person number of partner 1", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "9999": "Unable to identify person number of partner", "-1": "Not in Universe" }, "range": [ { "min": "101", "max": "1399", "description": "Person number of partner" } ] } }, "EPARTB11": { "label": "BS: Person number of partner 1", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "9999": "Unable to identify person number of partner", "-1": "Not in Universe" }, "range": [ { "min": "101", "max": "1399", "description": "Person number of partner" } ] } }, "TCDBEGYR": { "label": "HI: In what year did ... become covered by medicaid?", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "-1": "Not in Universe" }, "range": [ { "min": "1983", "max": "2030", "description": "Year coverage began" } ] } }, "EASETDRW": { "label": "GI: Receipt of income from IRA, 401k, or KEOGH (ISS 42)", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "4": "No", "1": "Lump Sum", "2": "Regular distribution", "-1": "Not in Universe", "3": "Both" } } }, "ECRMTH": { "label": "HI: Medicare coverage in this month", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "2": "No, not covered", "-1": "Not in Universe", "1": "Yes, covered" } } }, "AXMAR": { "label": "MH: Allocation flag for EXMAR.", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "4": "Imputed based upon previous wave data", "1": "Statistical imputation(hot deck)", "2": "Cold deck", "0": "Not imputed", "3": "Logical imputation(derivation)" } } }, "EENO1": { "label": "JB: Across-wave employer index/number", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "-1": "Not in Universe" }, "range": [ { "min": "1", "max": "99", "description": "Job ID" } ] } }, "TMOVRFLG": { "label": "PE: Mover flag", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "-1": "Not in Sample (Not in universe yet)", "0": "New to sample", "1": "Nonmover", "4": "Moved, different state", "2": "Moved, same county", "3": "Moved, different county within same state", "5": "Moved, unable to follow (Type D)", "6": "Moved, out of scope (Type C)" } } }, "ASTATRSN": { "label": "GI: Allocation flag for RSTATRSN", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "Not imputed", "3": "Logical imputation (derivation)", "1": "Statistical imputation (hot deck)", "4": "Statistical or logical imputation using previous wave data", "2": "Cold deck imputation" } } }, "EENO2": { "label": "JB: Across-wave employer index/number", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "-1": "Not in Universe" }, "range": [ { "min": "1", "max": "99", "description": "Job ID" } ] } }, "EGASSCE1": { "label": "GI: Source of gas vouchers -- gov't agency", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Yes", "2": "No", "-1": "Not in Universe" } } }, "EGASSCE2": { "label": "GI: Source of gas vouchers -- someplace else", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Yes", "-1": "Not in Universe", "2": "No" } } }, "TMJADIV": { "label": "AS: Amount of dividends credited to joint margin account", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "None or not in universe" }, "range": [ { "min": "1", "max": "3200", "description": "Dollars" } ] } }, "AHRSALL": { "label": "LF: Allocation flag for EHRSALL", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "2": "Cold deck imputation", "1": "Statistical imputation (hot deck)", "0": "Not imputed", "3": "Logical imputation (derivation)", "4": "Statistical or logical imputation using previous wave data" } } }, "ARCVTRN2": { "label": "ET: Allocation flag for ERCVTRN2.", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "3": "Logical imputation(derivation)", "1": "Statistical imputation(hot deck)", "0": "Not imputed", "2": "Cold deck" } } }, "ACITIZEN": { "label": "PE: Allocation flag for ECITIZEN", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "3": "Logical imputation (derivation)", "4": "Statistical or logical imputation using previous wave data", "0": "Not imputed", "2": "Cold deck imputation", "1": "Statistical imputation (hot deck)" } } }, "ARCVTRN1": { "label": "ET: Allocation flag for ERCVTRN1.", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "Not imputed", "1": "Statistical imputation(hot deck)", "2": "Cold deck", "3": "Logical imputation(derivation)" } } }, "AMJNTDIV": { "label": "AS: Allocation flag for TMJNTDIV", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Statistical imputation (hot deck)", "3": "Logical imputation (derivation)", "4": "Statistical or logical imputation using previous wave data", "2": "Cold deck imputation", "6": "Derived from range based values", "0": "Not imputed" } } }, "ATRN2USE": { "label": "ET: Allocation flag for RTRN2USE.", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "3": "Logical imputation(derivation)", "0": "Not imputed", "2": "Cold deck", "1": "Statistical imputation(hot deck)" } } }, "EFCCYN": { "label": "GI: Receipt of foster child care payments (ISS Code 23)", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "-1": "Not in Universe", "1": "Yes", "2": "No" } } }, "ACLTHSC": { "label": "GI: Allocation flag for ECLTHSC1-ECLTHSC5", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "2": "Cold deck imputation", "4": "Statistical or logical imputation using previous wave data", "3": "Logical imputation (derivation)", "0": "Not imputed", "1": "Statistical imputation (hot deck)" } } }, "ARRP": { "label": "PE: Allocation flag for ERRP", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "3": "Logical imputation (derivation)", "0": "Not imputed", "2": "Cold deck imputation", "1": "Statistical imputation (hot deck)", "4": "Statistical or logical imputation using previous wave data" } } }, "AEMPALL1": { "label": "JB: Allocation flag for EEMPALL1", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "3": "Logical imputation(derivation)", "1": "Statistical imputation(hot deck)", "0": "Not imputed", "2": "Cold deck imputation", "4": "Statistical or logical imputation using previous wave data" } } }, "TPOTHINC": { "label": "PE: Total person's other income for the reference month", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "None or not in universe" }, "range": [ { "min": "1", "max": "1500000", "description": "Amount in dollars" } ] } }, "ABFBWSY1": { "label": "FH: Allocation flag for TBFBWSY1", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Statistical imputation(hot deck)", "2": "Cold deck", "0": "Not imputed", "3": "Logical imputation(derivation)", "4": "Imputed based on previous wave data" } } }, "APAOTHR3": { "label": "GI: Allocation flag for EPAOTHR3", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "2": "Cold deck imputation", "1": "Statistical imputation (hot deck)", "3": "Logical imputation (derivation)", "4": "Imputed from the previous wave", "0": "Not imputed" } } }, "APAOTHR4": { "label": "GI: Allocation flag for EPAOTHR4", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "Not imputed", "3": "Logical imputation (derivation)", "4": "Imputed from the previous wave", "1": "Statistical imputation (hot deck)", "2": "Cold deck imputation" } } }, "APAOTHR1": { "label": "GI: Allocation flag for EPAOTHR1", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Statistical imputation (hot deck)", "3": "Logical imputation (derivation)", "2": "Cold deck imputation", "4": "Imputed from the previous wave", "0": "Not imputed" } } }, "APAOTHR2": { "label": "GI: Allocation flag for EPAOTHR2", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "3": "Logical imputation (derivation)", "2": "Cold deck imputation", "0": "Not imputed", "1": "Statistical imputation (hot deck)", "4": "Imputed from the previous wave" } } }, "ESSICHLD": { "label": "GI: Receipt of Federal SSI for children (ISS Code 3)", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "-1": "Not in Universe", "1": "Yes", "2": "No" } } }, "AEMPALL2": { "label": "JB: Allocation flag for EEMPALL2", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "2": "Cold deck imputation", "4": "Statistical or logical imputation using previous wave data", "1": "Statistical imputation(hot deck)", "3": "Logical imputation(derivation)", "0": "Not imputed" } } }, "APAOTHR5": { "label": "GI: Allocation flag for EPAOTHR5", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "Not imputed", "1": "Statistical imputation (hot deck)", "4": "Imputed from the previous wave", "2": "Cold deck imputation", "3": "Logical imputation (derivation)" } } }, "EAFNOW": { "label": "AF: Current Armed Forces status", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "2": "No", "1": "Yes", "-1": "Not in Universe" } } }, "APAOTHR6": { "label": "GI: Allocation flag for EPAOTHR6", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "4": "Imputed from the previous wave", "3": "Logical imputation (derivation)", "2": "Cold deck imputation", "1": "Statistical imputation (hot deck)", "0": "Not imputed" } } }, "EHREFPER": { "label": "HH: Person number of household reference person", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "range": [ { "min": "101", "max": "1399", "description": "Person number" } ] } }, "EJRNT2": { "label": "AS: Rent from property owned with others", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Yes", "-1": "Not universe", "2": "No" } } }, "ATYPDAD": { "label": "PE: Allocation flag for ETYPDAD", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "4": "Statistical or logical imputation using previous wave data", "0": "Not imputed", "2": "Cold deck imputation", "1": "Statistical imputation (hot deck)", "3": "Logical imputation (derivation)" } } }, "TIMSTAT": { "label": "MG: Immigration status upon entry to the U.S.", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "-1": "Not in Universe", "2": "Other", "1": "Permanent resident" } } }, "AAFNOW": { "label": "AF: Allocation flag for EAFNOW", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "Not imputed", "2": "Cold deck imputation", "1": "Statistical imputation (hot deck)", "3": "Logical imputation (derivation)", "4": "Statistical or logical imputation using previous wave data" } } }, "TCKJTINT": { "label": "AS: Amount of monthly interest from joint checking account", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "None or not in universe" }, "range": [ { "min": "1", "max": "240", "description": "Dollars" } ] } }, "EPARTB32": { "label": "BS: Person number of partner 3", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "-1": "Not in Universe", "9999": "Unable to identify person number of partner" }, "range": [ { "min": "101", "max": "1399", "description": "Person number of partner" } ] } }, "AWKLTMO": { "label": "WD: Allocation flag for EWKLTMO.", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "Not imputed", "1": "Statistical imputation (hot deck)", "2": "Cold deck imputation", "3": "Logical imputation" } } }, "EPARTB31": { "label": "BS: Person number of partner 3", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "9999": "Unable to identify person number of partner", "-1": "Not in Universe" }, "range": [ { "min": "101", "max": "1399", "description": "Person number of partner" } ] } }, "T13AMT": { "label": "GI: Amount of own sickness, accident, disability insur.", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "None or not in universe" }, "range": [ { "min": "1", "max": "99999", "description": "Amount in dollars" } ] } }, "EFREEBRK": { "label": "HH: Qualify for free or reduced price breakfast", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Yes", "-1": "Not in Universe", "2": "No" } } }, "ERCVTR10": { "label": "ET: In the past ten yrs, received any kind of training?", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Yes", "2": "No", "-1": "Not in Universe" } } }, "EMOMLIVH": { "label": "FH: Are all of your children living in this household", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Yes", "-1": "Not in Universe", "2": "No" } } }, "AUTILYN": { "label": "HH: Allocation flag for EUTILYN", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "Not imputed", "1": "Statistical imputation (hot deck)", "3": "Logical imputation (derivation)", "2": "Cold deck imputation", "4": "Statistical or logical imputation using previous wave data" } } }, "ANWATRN1": { "label": "ET: Allocation flag for ENWATRN1.", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "Not imputed", "1": "Statistical imputation(hot deck)", "2": "Cold deck", "3": "Logical imputation(derivation)" } } }, "AHIYNGKD": { "label": "HI: Allocation flag for EHIYNGKD", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "Not imputed", "2": "Cold deck imputation", "4": "Statistical or logical imputation using previous wave data", "1": "Statistical imputation (hot deck)", "3": "Logical imputation (derivation)" } } }, "TFLUMPSM": { "label": "FA: Family retirement lump sum payments", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "range": [ { "min": "0", "max": "15000000", "description": "Dollar amount" } ] } }, "ENUMTRN2": { "label": "ET: How many different training activities of this type?", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "-1": "Not in Universe" }, "range": [ { "min": "0", "max": "99", "description": "Number training activities lasting 0 hours or more" } ] } }, "TSAFDC": { "label": "SF: Total related subfamily public assistance payments", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "None or not in universe" }, "range": [ { "min": "1", "max": "150000", "description": "Dollar amount" } ] } }, "ENUMTRN1": { "label": "ET: How many different training activities of this type?", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "-1": "Not in Universe" }, "range": [ { "min": "0", "max": "99", "description": "Different types of training activities ge 0 hr." } ] } }, "AJRNT2": { "label": "AS: Allocation flag for EJRNT2", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "Not imputed", "3": "Logical imputation (derivation)", "1": "Statistical imputation (hot deck)", "4": "Statistical or logical imputation using previous wave data", "2": "Cold deck imputation" } } }, "ROB2R2": { "label": "GI: 2nd reason applying for Other Welfare the 2nd time", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "New child (or other dependent) or pregnancy", "-1": "Not in Universe", "7": "No change - just heard about the program", "8": "Needed to re-certify", "5": "Became disabled or otherwise unable to work", "9": "Other", "3": "Job loss or wages reduced", "2": "Separation, divorced or widowed", "4": "Loss or reduction of other income", "6": "No change - just decided it was time" } } }, "ROB2R1": { "label": "GI: 1st reason applying for Other Welfare the 2nd time", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "New child (or other dependent) or pregnancy", "5": "Became disabled or otherwise unable to work", "9": "Other", "3": "Job loss or wages reduced", "4": "Loss or reduction of other income", "6": "No change - just decided it was time", "7": "No change - just heard about the program", "2": "Separation, divorced or widowed", "8": "Needed to re-certify", "-1": "Not in Universe" } } }, "ERSNOWRK": { "label": "LF: Main reason for not having a job during the reference period", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "5": "Pregnancy/childbirth", "-1": "Not in Universe", "9": "On layoff (temporary or indefinite)", "10": "Not interested in working at a job", "7": "Going to school", "3": "Unable to work because of chronic health condition or disablity", "11": "Other", "2": "Temporarily unable to work because of an illness", "4": "Retired", "1": "Temporarily unable to work because of an injury", "6": "Taking care of children/other persons", "8": "Unable to find work" } } }, "TOTHPROP": { "label": "AS: Amount of total other property income", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "None or not in universe" }, "range": [ { "min": "-9999999", "max": "9999999", "description": "Dollars" } ] } }, "EPARTB21": { "label": "BS: Person number of partner 2", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "9999": "Unable to identify person number of partner", "-1": "Not in Universe" }, "range": [ { "min": "101", "max": "1399", "description": "Person number of partner" } ] } }, "AFRCHL": { "label": "FH: Allocation flag for TFRCHL", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "2": "Cold deck", "1": "Statistical imputation(hot deck)", "0": "Not imputed", "3": "Logical imputation(derivation)", "4": "Imputed based on previous wave data" } } }, "EPARTB22": { "label": "BS: Person number of partner 2", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "-1": "Not in Universe", "9999": "Unable to identify person number of partner" }, "range": [ { "min": "101", "max": "1399", "description": "Person number of partner" } ] } }, "ETOKSCE1": { "label": "GI: Where ... received subway/bus tokens--gov't agency", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "-1": "Not in Universe", "1": "Yes", "2": "No" } } }, "EPACASH2": { "label": "GI: Whether ... received general assistance or relief", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "-1": "Not in Universe", "1": "Yes", "2": "No" } } }, "EPROGRAM": { "label": "ET: Type of high school program followed.", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Academic or college preparatory", "2": "General", "3": "Vocational", "-1": "Not in Universe", "4": "Business", "5": "Other" } } }, "EPACASH1": { "label": "GI: Whether ... or child received cash assistance", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Yes", "2": "No", "-1": "Not in Universe" } } }, "AAFBWKY1": { "label": "FH: Allocation flag for TAFBWKY1", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "3": "Logical imputation(derivation)", "1": "Statistical imputation(hot deck)", "2": "Cold deck", "4": "Imputed based on previous wave data", "0": "Not imputed" } } }, "EPACASH3": { "label": "GI: Whether ... received short-term cash assistance", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Yes", "2": "No", "-1": "Not in Universe" } } }, "ETOKSCE2": { "label": "GI: Where ... received subway/bus tokens--gov't agency", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Yes", "2": "No", "-1": "Not in Universe" } } }, "T25AMT": { "label": "GI: Amount of WIC payments (ISS Code 25)", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "None or not in universe" }, "range": [ { "min": "1", "max": "99999", "description": "Amount in dollars" } ] } }, "RWB1R2": { "label": "GI: Second reason for applying for WIC the 1st time", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "5": "Became disabled or otherwise unable to work", "6": "No change - just decided it was time", "4": "Loss or reduction of other income", "7": "No change - just heard about the program", "8": "Needed to re-certify", "3": "Job loss or wages reduced", "2": "Separation, divorced or widowed", "-1": "Not in Universe", "1": "New child (or other dependent) or pregnancy", "9": "Other" } } }, "RWB1R1": { "label": "GI: First reason for applying for WIC the 1st time", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "5": "Became disabled or otherwise unable to work", "9": "Other", "4": "Loss or reduction of other income", "1": "New child (or other dependent) or pregnancy", "2": "Separation, divorced or widowed", "3": "Job loss or wages reduced", "6": "No change - just decided it was time", "8": "Needed to re-certify", "-1": "Not in Universe", "7": "No change - just heard about the program" } } }, "A55AMT": { "label": "GI: Allocation flag for T55AMT", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "3": "Logical imputation (derivation)", "0": "Not imputed", "2": "Cold deck imputation", "4": "Statistical or logical imputation using previous wave data", "1": "Statistical imputation (hot deck)" } } }, "ULFTMAIN": { "label": "PE: UNEDITED VARIABLE - Main reason left household", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "5": "Separation or divorce", "11": "Moved to type C household", "4": "Moved outside of U.S.", "1": "Deceased", "2": "Institutionalized", "3": "On active duty in the Armed Forces", "6": "Marriage", "9": "Listed in error in prior wave", "0": "Not answered", "7": "Became employed/unemployed", "8": "Due to job change - other", "10": "Other" } } }, "TADVNCYR": { "label": "ET: In what year did... receive... advanced degree?", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "-1": "Not in Universe" }, "range": [ { "min": "1960", "max": "2009", "description": "Year received master/professional/doctorate degree" } ] } }, "EWIDIV2": { "label": "MH: Second marriage outcome: widowed/divorced", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "-1": "Not in Universe", "2": "Divorce", "1": "Widowhood" } } }, "TMETRO": { "label": "HH: Metro status", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "3": "Not Identified", "1": "Metro", "2": "Not metro" } } }, "ACKOAST": { "label": "AS: Allocation flag for ECKOAST", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "2": "Cold deck imputation", "3": "Logical imputation (derivation)", "1": "Statistical imputation (hot deck)", "0": "Not imputed", "4": "Statistical or logical imputation using previous wave data" } } }, "ALMTYR": { "label": "WD: Allocation flag for TLMTYR.", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Statistical imputation (hot deck)", "0": "Not imputed", "2": "Cold deck imputation", "3": "Logical imputation" } } }, "AASSOCYR": { "label": "ET: Allocation flag for TASSOCYR.", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "2": "Cold deck", "3": "Logical imputation(derivation)", "0": "Not imputed", "1": "Statistical imputation(hot deck)" } } }, "EALIYN": { "label": "GI: Receipt of alimony payments (ISS Code 29)", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Yes", "2": "No", "-1": "Not in Universe" } } }, "EMNLOC": { "label": "WD: Place of the accident or injury", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "3": "In the home", "1": "On the job", "4": "Somewhere else", "2": "During service in the Armed Forces", "-1": "Not in Universe" } } }, "RAB1R1": { "label": "GI: 1st reason applied for Pub Asst/AFDC/TANF 1st time", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "New child (or other dependent) or pregnancy", "3": "Job loss or wages reduced", "4": "Loss or reduction of other income", "6": "No change - just decided it was time", "7": "No change - just heard about the program", "8": "Need to re-certify", "2": "Separation, divorce, or widowed", "-1": "Not in Universe", "9": "Other", "5": "Became disabled or otherwise unable to work" } } }, "EJBHRS1": { "label": "JB: Usual hours worked per week at this job", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "-8": "Hours vary", "-1": "Not in Universe" }, "range": [ { "min": "1", "max": "99", "description": "hours per week" } ] } }, "ELCTNTR2": { "label": "ET: Where did... receive this most recent training?", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "2": "On the job- taught by someone outside the organization", "3": "Away from the job", "-1": "Not in Universe", "1": "On the job- taught by someone from the organization", "4": "OTHER" } } }, "RAB1R2": { "label": "GI: 2nd reason applied for Pub Asst/AFDC/TANF 1st time", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "2": "Separation, divorce or widowed", "8": "Need to re-certify", "1": "New child (or other dependent) or pregnancy", "-1": "Not in Universe", "4": "Loss or reduction of other income", "7": "No change - just heard about the program", "9": "Other", "5": "Became disabled or otherwise unable to work", "3": "Job loss or wages reduced", "6": "No change - just decided it was time" } } }, "EJBHRS2": { "label": "JB: Usual hours worked per week at this job", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "-1": "Not in Universe", "-8": "Hours vary" }, "range": [ { "min": "1", "max": "99", "description": "hours per week" } ] } }, "ELCTNTR1": { "label": "ET: Where did... receive this most recent training?", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "8": "Vocational rehabilitation center", "-1": "Not in Universe", "2": "High school", "4": "Four-year college or university", "1": "Business, technical, or vocational school", "6": "Correspondence course", "3": "Two-year or community college", "5": "At current or previous employer's place of work", "7": "Sheltered workshop", "9": "Other" } } }, "EVOCFLD": { "label": "ET: In what field did... receive that diploma or cert?", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "13": "Hotel and Restaurant Management", "12": "Home Economics", "14": "Marketing and Distribution", "2": "Auto mechanics", "8": "Drafting", "18": "Transportation and Materials Moving", "4": "Business/Office Management", "1": "Agriculture/Forestry/Horticulture", "10": "Food Service", "-1": "Not in Universe", "6": "Construction Trades", "7": "Cosmetology", "15": "Metal Working", "17": "Refrigeration, Heating, or Air Conditioning", "11": "Health Care", "16": "Police/Protective Services", "3": "Aviation", "19": "other", "5": "Computer and Information Services", "9": "Electronics" } } }, "THLUMPSM": { "label": "HH: Retirement lump sum payments", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "range": [ { "min": "0", "max": "15000000", "description": "Dollar amount" } ] } }, "EWIDIV1": { "label": "MH: First marriage outcome: widowhood/divorced", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "2": "Divorce", "1": "Widowhood", "-1": "Not in Universe" } } }, "TPRSTATE": { "label": "MG: State or country of previous home", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "030": "Montana", "034": "New Jersey", "555": "Elsewhere", "038": "North Dakota", "041": "Oregon", "042": "Pennsylvania", "012": "Florida", "024": "Maryland", "031": "Nebraska", "035": "New Mexico", "-5": "Lived here since birth", "040": "Oklahoma", "001": "Alabama", "048": "Texas", "021": "Kentucky", "561": "Americas", "047": "Tennessee", "049": "Utah", "006": "California", "017": "Illinois", "027": "Minnesota", "560": "Europe, Asia, and Africa", "004": "Arizona", "050": "Vermont", "028": "Mississippi", "037": "North Carolina", "039": "Ohio", "044": "Rhode Island", "002": "Alaska", "018": "Indiana", "025": "Massachusetts", "029": "Missouri", "032": "Nevada", "008": "Colorado", "051": "Virginia", "010": "Delaware", "033": "New Hampshire", "-1": "Not in Universe", "045": "South Carolina", "053": "Washington", "011": "DC", "013": "Georgia", "015": "Hawaii", "019": "Iowa", "020": "Kansas", "023": "Maine", "026": "Michigan", "036": "New York", "046": "South Dakota", "005": "Arkansas", "009": "Connecticut", "054": "West Virginia", "055": "Wisconsin", "056": "Wyoming", "016": "Idaho", "022": "Louisiana" } } }, "UENTMAIN": { "label": "PE: UNEDITED VARIABLE - Main reason entered household", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Birth", "10": "Job change - other", "7": "From outside the U.S.", "11": "Lived at this address before sample person{s} entered", "5": "From an institution", "12": "Other", "0": "Not answered", "6": "From Armed Forces barracks", "4": "Due to separation or divorce", "8": "Should have been listed as member in previous wave", "9": "Became employed/unemployed", "2": "Marriage", "3": "Returned to household after missing one or more waves" } } }, "EFSPOUSE": { "label": "FA: Person number of spouse of family reference person", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "9999": "Persons with EFKIND 2 or 3" }, "range": [ { "min": "101", "max": "1399", "description": "Person number of spouse of family ref. person" } ] } }, "AEDASST": { "label": "ED: Allocation flag for EASST01-EASST12", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "4": "Statistical or logical imputation using previous wave data", "3": "Logical imputation (derivation)", "1": "Statistical imputation (hot deck)", "2": "Cold deck imputation", "0": "Not imputed" } } }, "TJARNT": { "label": "AS: Amount of gross rent from property joint with spouse", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "None or not in universe" }, "range": [ { "min": "1", "max": "24000", "description": "Dollars" } ] } }, "AWELACT3": { "label": "GI: Allocation flag for EWELACT3", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "No imputation", "1": "Statistical imputation (hot deck)", "4": "Imputed from the previous wave", "3": "Logical imputation (derivation)", "2": "Cold deck" } } }, "AWELACT4": { "label": "GI: Allocation flag for EWELACT4", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "2": "Cold deck", "1": "Statistical imputation (hot deck)", "3": "Logical imputation (derivation)", "4": "Imputed from the previous wave", "0": "No imputation" } } }, "EHIUNT3": { "label": "HI: 3rd health insurance coverage unit for this month", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "-1": "Not in Universe" }, "range": [ { "min": "1", "max": "240", "description": "Health insurance coverage unit" } ] } }, "ANOWSAME": { "label": "WD: Allocation flag for ENOWSAME.", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "Not imputed", "1": "Statistical imputation (hot deck)", "3": "Logical imputation", "2": "Cold deck imputation" } } }, "AWELACT1": { "label": "GI: Allocation flag for EWELACT1", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "4": "Imputed from the previous wave", "3": "Logical imputation (derivation)", "1": "Statistical imputation (hot deck)", "2": "Cold deck imputation", "0": "No imputation" } } }, "A21AMT": { "label": "GI: Allocation flag for T21AMT", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "2": "Cold deck imputation", "3": "Logical imputation (derivation)", "1": "Statistical imputation (hot deck)", "4": "Statistical or logical imputation using previous wave data", "0": "Not imputed" } } }, "TFOTHINC": { "label": "FA: Total 'other' family income for this month", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "range": [ { "min": "0", "max": "1500000", "description": "Dollar amount" } ] } }, "EHIUNT2": { "label": "HI: 2nd health insurance coverage unit for this month", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "-1": "Not in Universe" }, "range": [ { "min": "1", "max": "240", "description": "Health insurance coverage unit" } ] } }, "ELAYOFF": { "label": "LF: Spent time on layoff from a job", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "-1": "Not in Universe", "1": "Yes", "2": "No" } } }, "EHIUNT1": { "label": "HI: 1st health insurance coverage unit for this month", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "-1": "Not in Universe" }, "range": [ { "min": "1", "max": "240", "description": "Health insurance coverage unit" } ] } }, "AENRLM": { "label": "ED: Allocation flag for EENRLM", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "Not imputed", "2": "Cold deck imputation", "3": "Logical imputation (derivation)", "1": "Statistical imputation (hot deck)", "4": "Statistical or logical imputation using previous wave data" } } }, "ASBDATE2": { "label": "BS: Allocation flag for TSBDATE2", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "Not imputed", "2": "Cold deck imputation", "3": "Logical imputation(derivation)", "1": "Statistical imputation(hot deck)", "4": "Statistical or logical imputation using previous wave data" } } }, "RHCALYR": { "label": "SU: Calendar year for this reference month", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "range": [ { "min": "2008", "max": "2013", "description": "Calendar year of reference month" } ] } }, "RCUOW58B": { "label": "PE: Person number of 2nd owner of health ins coverage", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "Not In Universe" }, "range": [ { "min": "101", "max": "1399", "description": "Person number" } ] } }, "RCUOW58A": { "label": "PE: Person number of 1st owner of health ins coverage", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "Not In Universe" }, "range": [ { "min": "101", "max": "1399", "description": "Person number" } ] } }, "ASBDATE1": { "label": "BS: Allocation flag for TSBDATE1", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "4": "Statistical or logical imputation using previous wave data", "0": "Not imputed", "3": "Logical imputation(derivation)", "1": "Statistical imputation(hot deck)", "2": "Cold deck imputation" } } }, "EHOTLUNC": { "label": "HH: Receipt of a school lunch", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "-1": "Not in Universe", "1": "Yes", "2": "No" } } }, "ANWBTRN1": { "label": "ET: Allocation flag for ENWBTRN1.", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "2": "Cold deck", "0": "Not imputed", "1": "Statistical imputation(hot deck)", "3": "Logical imputation(derivation)" } } }, "ABMSUM1": { "label": "BS: Allocation flag for TBMSUM1", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "Not imputed", "1": "Statistical imputation(hot deck)", "3": "Logical imputation(derivation)", "4": "Statistical or logical imputation using previous wave data", "2": "Cold deck imputation" } } }, "ABMSUM2": { "label": "BS: Allocation flag for TBMSUM2", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "3": "Logical imputation(derivation)", "2": "Cold deck imputation", "4": "Statistical or logical imputation using previous wave data", "0": "Not imputed", "1": "Statistical imputation(hot deck)" } } }, "TSOWNDIV": { "label": "AS: Amount of dividend check for solely held stocks", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "None or not in universe" }, "range": [ { "min": "1", "max": "8000", "description": "Dollars" } ] } }, "AEBDATE2": { "label": "BS: Allocation flag for TEBDATE2", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Statistical imputation(hot deck)", "2": "Cold deck imputation", "4": "Statistical or logical imputation using previous wave data", "0": "Not imputed", "3": "Logical imputation(derivation)" } } }, "AHIOTHER": { "label": "HI: Allocation flag for EHIOTHER", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "2": "Cold deck imputation", "4": "Statistical or logical imputation using previous wave data", "1": "Statistical imputation (hot deck)", "0": "Not imputed", "3": "Logical imputation (derivation)" } } }, "AEBDATE1": { "label": "BS: Allocation flag for TEBDATE1", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "2": "Cold deck imputation", "3": "Logical imputation(derivation)", "0": "Not imputed", "1": "Statistical imputation(hot deck)", "4": "Statistical or logical imputation using previous wave data" } } }, "ACOURSE": { "label": "ET: Allocation flag for ECOURSE1-7.", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Statistical imputation(hot deck)", "2": "Cold deck", "0": "Not imputed", "3": "Logical imputation(derivation)" } } }, "EGROSB2": { "label": "BS: Anticipated gross-earnings level", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "2": "No", "-1": "Not in Universe", "1": "Yes" } } }, "ECASHGVT": { "label": "GI: Cash assistance from which government agency", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Federal", "2": "State", "3": "Local", "-1": "Not in Universe" } } }, "EGROSB1": { "label": "BS: Anticipated gross-earnings level", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Yes", "2": "No", "-1": "Not in Universe" } } }, "AAFBWKSE": { "label": "FH: Allocation flag for EAFBWKSE", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Statistical imputation(hot deck)", "0": "Not imputed", "2": "Cold deck", "3": "Logical imputation(derivation)", "4": "Imputed based on previous wave data" } } }, "ECDBEGMO": { "label": "HI: In what month did ... become covered by Medicaid?", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "-1": "Not in Universe" }, "range": [ { "min": "1", "max": "12", "description": "Month coverage began" } ] } }, "EBFBCTWK": { "label": "FH: Response for continuous work for pay", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "2": "No", "-1": "Not in Universe", "1": "Yes" } } }, "TOUTINYR": { "label": "MG: Year moved into the previous home", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "-5": "Always lived there", "-1": "Not in Universe" }, "range": [ { "min": "1954", "max": "2009", "description": "Year moved into the previous home" } ] } }, "ESFNP": { "label": "SF: Number of persons in this related subfamily", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "-1": "Not in Universe" }, "range": [ { "min": "2", "max": "30", "description": "Number of persons in this related subfamily" } ] } }, "AHIRSN": { "label": "HI: Allocation for variables EHIRSN01 through EHIRSN12", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Statistical imputation (hot deck)", "4": "Statistical or logical imputation using previous wave data", "3": "Logical imputation (derivation)", "2": "Cold deck imputation", "0": "Not imputed" } } }, "APREVBMO": { "label": "WD: Allocation flag for EPREVBMO.", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "3": "Logical imputation", "0": "Not imputed", "1": "Statistical imputation (hot deck)", "2": "Cold deck imputation" } } }, "EWRSECT8": { "label": "HH: Residence in Section 8 or other program", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Section 8", "2": "Some other government program", "-1": "Not in Universe" } } }, "RTAKJOB": { "label": "LF: Could ... have started a job during missing weeks?", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "2": "No", "-1": "Not in Universe", "1": "Yes", "0": "Not reported" } } }, "RFCSRSN": { "label": "GI: Reason for receipt of federal civilian pension", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "4": "Disability and retirement", "1": "Disability", "-1": "Not in Universe", "2": "Retirement", "6": "Retirement and survivor", "3": "Survivor", "5": "Disability and Survivor", "7": "Disability, retirement, and survivor", "8": "No payment received" } } }, "EPTRESN": { "label": "LF: Main reason for working less than 35 hours", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "8": "Slack work or material shortage", "6": "Taking care of children/other persons", "7": "Full-time workweek is less than 35 hours", "4": "Temporarily unable to work full-time because of illness", "9": "Participated in a job sharing arrangement", "-1": "Not in Universe", "12": "Other", "5": "Unable to work full-time because of chronic health condition/disability", "10": "On vacation", "11": "In school", "3": "Temporarily unable to work full-time because of injury", "1": "Could not find full-time job", "2": "Wanted to work part time" } } }, "EOINCB2": { "label": "BS: Receipt of non-salary income", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "-1": "Not in Universe", "1": "Yes", "2": "No" } } }, "AMDOINT": { "label": "AS: Allocation flag for TMDOINT", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "3": "Logical imputation (derivation)", "4": "Statistical or logical imputation using previous wave data", "6": "Derived from range based values", "0": "Not imputed", "2": "Cold deck imputation", "1": "Statistical imputation (hot deck)" } } }, "EOINCB1": { "label": "BS: Receipt of non-salary income", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "2": "No", "-1": "Not in Universe", "1": "Yes" } } }, "ALMTMO": { "label": "WD: Allocation flag for ELMTMO.", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "Not imputed", "2": "Cold deck imputation", "3": "Logical imputation", "1": "Statistical imputation (hot deck)" } } }, "RHNFAM": { "label": "HH: No. of fams and psuedo fams (excluding related subs)", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "range": [ { "min": "1", "max": "30", "description": "Number of families" } ] } }, "T15AMT": { "label": "GI: Amount of severance pay (ISS Code 15)", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "None or not in universe" }, "range": [ { "min": "1", "max": "99999", "description": "Amount in dollars" } ] } }, "RGS2": { "label": "GI: Reason for stopping General Assist the 2nd time", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "-1": "Not in Universe", "4": "Became ineligible because program requirements were not met", "2": "Became ineligible because of family changes", "5": "Eligibility ran out because of time limits", "6": "The money is not worth it", "7": "Other, specify", "1": "Became ineligible because of increased income", "3": "Still eligible but could not/chose not to collect" } } }, "RGS1": { "label": "GI: Reason for stopping General Assist the 1st time", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "6": "The money is not worth it", "2": "Became ineligible because of family changes", "7": "Other, specify", "3": "Still eligible but could not/chose not to collect", "5": "Eligibility ran out because of time limits", "1": "Became ineligible because of increased income", "-1": "Not in Universe", "4": "Became ineligible because program requirements were not met" } } }, "TJACLR": { "label": "AS: Amt of net rent from prop. held jointly with spouse", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "None or not in universe" }, "range": [ { "min": "-4000", "max": "12000", "description": "Dollars" } ] } }, "APDJBTHN": { "label": "LF: Allocation flag for EPDJBTHN", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "5": "Edited value set equal to 2. Applies only to Wave 3. (See User Note)", "1": "Statistical imputation (hot deck)", "0": "Not imputed", "2": "Cold deck imputation", "3": "Logical imputation (derivation)", "4": "Statistical or logical imputation using previous wave data" } } }, "EAFBST01": { "label": "FH: After child was born, did respondent quit working", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Yes", "-1": "Not in Universe", "2": "No" } } }, "EAFBST02": { "label": "FH: After child was born, was resp. let go from her job", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "2": "No", "-1": "Not in Universe", "1": "Yes" } } }, "EAFBST05": { "label": "FH: After child was born, was resp. on paid sick leave", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Yes", "-1": "Not in Universe", "2": "No" } } }, "EAFBST06": { "label": "FH: After child was born, was resp. on unpaid sick leave", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Yes", "-1": "Not in Universe", "2": "No" } } }, "EAFBST03": { "label": "FH: After child was born, resp. on paid maternity leave", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "-1": "Not in Universe", "1": "Yes", "2": "No" } } }, "AAFEVER": { "label": "AF: Allocation flag for EAFEVER", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Statistical imputation (hot deck)", "0": "Not imputed", "2": "Cold deck imputation", "3": "Logical imputation (derivation)", "4": "Statistical or logical imputation using previous wave data" } } }, "EAFBST04": { "label": "FH: After child was born resp. on unpaid maternity leave", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Yes", "-1": "Not in Universe", "2": "No" } } }, "AR01K": { "label": "GI: Allocation flag for ER01K", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Statistical imputation (hot deck)", "3": "Logical imputation (derivation)", "2": "Cold deck imputation", "0": "Not imputed", "4": "Statistical or logical imputation using previous wave data" } } }, "ESFTYPE": { "label": "SF: Type of family (or pseudo-family)", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "2": "Related Subfamily", "-1": "Not in Universe" } } }, "GRGC": { "label": "SU: Reduction Group Code", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "range": [ { "min": "1", "max": "101", "description": "Reduction Group Code" } ] } }, "AADYEAR": { "label": "MG: Allocation flag for TADYEAR", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "3": "Logical imputation(derivation)", "0": "Not imputed", "1": "Statistical imputation(hot deck)", "2": "Cold deck" } } }, "APYRATE1": { "label": "JB: Allocation flag for TPYRATE1", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "Not imputed", "4": "Statistical or logical imputation using previous wave data", "2": "Cold deck imputation", "3": "Logical imputation(derivation)", "1": "Statistical imputation(hot deck)" } } }, "RFPOV": { "label": "FA: Poverty threshold for this family in this month", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "Not In Universe" }, "range": [ { "min": "1", "max": "5000", "description": "Dollar amount" } ] } }, "APYRATE2": { "label": "JB: Allocation flag for TPYRATE2", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Statistical imputation(hot deck)", "3": "Logical imputation(derivation)", "0": "Not imputed", "2": "Cold deck imputation", "4": "Statistical or logical imputation using previous wave data" } } }, "AAFBWRK": { "label": "FH: Allocation flag for EAFBWRK", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Statistical imputation(hot deck)", "3": "Logical imputation(derivation)", "4": "Imputed based on previous wave data", "0": "Not imputed", "2": "Cold deck" } } }, "ALAYOFF": { "label": "LF: Allocation flag for ELAYOFF", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Statistical imputation(hot deck)", "0": "Not imputed", "4": "Statistical or logical imputation using previous wave data", "2": "Cold deck imputation", "3": "Logical imputation(derivation)" } } }, "TLMYEAR": { "label": "MH: Edited last year for marriage.", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "-1": "Not in Universe" }, "range": [ { "min": "1948", "max": "2009", "description": "Year of last marriage" } ] } }, "AR01A": { "label": "GI: Allocation flag for ER01A", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Statistical imputation (hot deck)", "4": "Statistical or logical imputation using previous wave data", "0": "Not imputed", "2": "Cold deck imputation", "3": "Logical imputation (derivation)" } } }, "ABFBWKPR": { "label": "FH: Allocation flag for EBFBWKPR", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Statistical imputation(hot deck)", "4": "Imputed based on previous wave data", "0": "Not imputed", "2": "Cold deck", "3": "Logical imputation(derivation)" } } }, "A31AMT": { "label": "GI: Allocation flag for T31AMT", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "4": "Statistical or logical imputation using previous wave data", "0": "Not imputed", "2": "Cold deck imputation", "3": "Logical imputation (derivation)", "1": "Statistical imputation (hot deck)" } } }, "EATRUNV": { "label": "TXR: Universe indicator.", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "-1": "Not in Universe", "1": "In universe" } } }, "ABACHFLD": { "label": "ET: Allocation flag for EBACHFLD.", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "Not imputed", "2": "Cold deck", "1": "Statistical imputation(hot deck)", "3": "Logical imputation(derivation)" } } }, "TMJNTDIV": { "label": "AS: Amount of check from jointly held mutual funds", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "None or not in universe" }, "range": [ { "min": "1", "max": "7200", "description": "Dollars" } ] } }, "ARBATAMT": { "label": "TXR: Allocation flag for ERBATAMT", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "Not imputed", "2": "Cold deck imputation", "1": "Statistical imputation (hot deck)", "3": "Logical imputation (derivation)" } } }, "EENRLM": { "label": "ED: Enrollment status in this month", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "-1": "Not in Universe", "1": "Yes", "2": "No" } } }, "AFMYEAR": { "label": "MH: Allocation flag for TFMYEAR", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "Not imputed", "1": "Statistical imputation(hot deck)", "3": "Logical imputation(derivation)", "2": "Cold deck" } } }, "RPRGQUES": { "label": "HH: Flag indicating transfer of program question data", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "Residence this month not in sample at intrvw - no data transferred", "2": "Res. this mo. in sample but nonintrvw - no program data coll", "3": "Res. this mo. not in sample at intrvw - program data transferred", "1": "Res. this mo. was intrvwed address - program data collected" } } }, "ECDUNT1": { "label": "HI: Medicaid coverage unit for this month", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "-1": "Not in Universe" }, "range": [ { "min": "1", "max": "240", "description": "Medicaid coverage unit" } ] } }, "A08AMT": { "label": "GI: Allocation flag for T08AMT", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "Not imputed", "2": "Cold deck imputation", "1": "Statistical imputation (hot deck)", "3": "Logical imputation (derivation)", "4": "Statistical or logical imputation using previous wave data" } } }, "AMDJT": { "label": "AS: Allocation flag for EMDJT", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "4": "Statistical or logical imputation using previous wave data", "0": "Not imputed", "1": "Statistical imputation (hot deck)", "2": "Cold deck imputation", "3": "Logical imputation (derivation)" } } }, "TGVJTINT": { "label": "AS: Amount of monthly int from joint US Govt securities", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "None or not in universe" }, "range": [ { "min": "1", "max": "3600", "description": "Dollars" } ] } }, "TMDJTINT": { "label": "AS: Amount of monthly interest on joint money market", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "None or not in universe" }, "range": [ { "min": "1", "max": "1000", "description": "Dollars" } ] } }, "T27AMT": { "label": "GI: Amount of food stamps (ISS Code 27)", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "None or not in universe" }, "range": [ { "min": "1", "max": "99999", "description": "Amount in dollars" } ] } }, "AENLEVEL": { "label": "ED: Allocation flag for EENLEVEL", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "2": "Cold deck imputation", "0": "Not imputed", "4": "Statistical or logical imputation using previous wave data", "1": "Statistical imputation (hot deck)", "3": "Logical imputation (derivation)" } } }, "AWHIEXP2": { "label": "GI: Allocation flag for WHICHEXP2", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "No imputation", "1": "Statistical imputation (hot deck)", "4": "Imputed from the previous wave", "3": "Logical imputation (derivation)", "2": "Cold deck" } } }, "EJBBTRN1": { "label": "ET: Have you used this training on your current/new job?", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Yes", "2": "No", "-1": "Not in Universe" } } }, "ACDBEGYR": { "label": "HI: Allocation flag for TCDBEGYR", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Statistical imputation (hot deck)", "2": "Cold deck", "3": "Logical imputation (derivation)", "0": "No imputation" } } }, "EHISPSE": { "label": "HI: Coverage of spouse outside the household", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "-1": "Not in Universe", "1": "Yes, covered", "2": "No, not covered" } } }, "ERACE": { "label": "PE: The race(s) the respondent is", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "White alone", "3": "Asian alone", "2": "Black alone", "4": "Residual" } } }, "APATANF": { "label": "GI: Allocation flag for EPATANF1-EPATANF6", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "2": "Cold deck imputation", "3": "Logical imputation (derivation)", "4": "Statistical or logical imputation using previous wave data", "0": "Not imputed", "1": "Statistical imputation (hot deck)" } } }, "AAFBWKPY": { "label": "FH: Allocation flag for EAFBWKPY", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "4": "Imputed based on previous wave data", "2": "Cold deck", "0": "Not imputed", "3": "Logical imputation(derivation)", "1": "Statistical imputation(hot deck)" } } }, "AWHIEXP1": { "label": "GI: Allocation flag for WHICHEXP1", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Statistical imputation (hot deck)", "3": "Logical imputation (derivation)", "2": "Cold deck", "4": "Imputed from the previous wave", "0": "No imputation" } } }, "AAFBWKPS": { "label": "FH: Allocation flag for EAFBWKPS", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "2": "Cold deck", "1": "Statistical imputation(hot deck)", "0": "Not imputed", "3": "Logical imputation(derivation)", "4": "Imputed based on previous wave data" } } }, "AR03K": { "label": "GI: Allocation flag for ER03K", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "Not imputed", "2": "Cold deck imputation", "3": "Logical imputation (derivation)", "4": "Statistical or logical imputation using previous wave data", "1": "Statistical imputation (hot deck)" } } }, "EADVNCFD": { "label": "ET: In what field of study did... receive that degree?", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "2": "Art/Architecture", "3": "Business/Management", "4": "Communications", "9": "Foreign Languages", "12": "Math/Statistics", "-1": "Not in Universe", "19": "other", "10": "Law", "14": "Nature Sciences(Biological and Physical)", "1": "Agriculture", "5": "Computer and Information Sciences", "18": "Social Sciences/History", "7": "Engineering", "6": "Education", "16": "Philosophy/Religion/Theology", "11": "Liberal Arts/Humanities", "13": "Medicine/Dentistry", "15": "Nursing/Pharmacy/Public Health", "17": "Psychology", "8": "English/Literature" } } }, "ARBAMTH": { "label": "TXR: Allocation flag for ERBAMTH", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Statistical imputation (hot deck)", "2": "Cold deck imputation", "0": "Not imputed", "3": "Logical imputation (derivation)" } } }, "AR03A": { "label": "GI: Allocation flag for ER03A", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "2": "Cold deck imputation", "3": "Logical imputation (derivation)", "4": "Statistical or logical imputation using previous wave data", "1": "Statistical imputation (hot deck)", "0": "Not imputed" } } }, "AFBLIVNW": { "label": "FH: Allocation flag for EFBLIVNW", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "3": "Logical imputation(derivation)", "4": "Imputed based on previous wave data", "0": "Not imputed", "2": "Cold deck", "1": "Statistical imputation(hot deck)" } } }, "ANATCITT": { "label": "MG: Allocation flag for ENATCITT", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "Not imputed", "3": "Logical imputation(derivation)", "1": "Statistical imputation(hot deck)", "2": "Cold deck" } } }, "AVOCFLD": { "label": "ET: Allocation flag for EVOCFLD.", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "2": "Cold deck", "3": "Logical imputation(derivation)", "0": "Not imputed", "1": "Statistical imputation(hot deck)" } } }, "THOTHINC": { "label": "HH: Total 'other' household income", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "range": [ { "min": "0", "max": "1500000", "description": "Dollar amount" } ] } }, "EBIZNOW2": { "label": "BS: Ownership of business", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "-1": "Not in Universe", "2": "No", "1": "Yes" } } }, "ABDJT": { "label": "AS: Allocation flag for EBDJT.", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "Not imputed", "1": "Statistical imputation (hot deck)", "2": "Cold deck imputation", "3": "Logical imputation (derivation)", "4": "Statistical or logical imputation using previous wave data" } } }, "TEMPALL2": { "label": "JB: Number of employees at all locations", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "3": "100+ employees", "-1": "Not in Universe", "1": "Under 25 employees", "2": "25 to 99 employees" } } }, "ASSCHILD": { "label": "GI: Allocation flag for ESSCHILD", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Statistical imputation (hot deck)", "2": "Cold deck imputation", "0": "Not imputed", "3": "Logical imputation (derivation)", "4": "Statistical or logical imputation using previous wave data" } } }, "EBIZNOW1": { "label": "BS: Ownership of business", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Yes", "-1": "Not in Universe", "2": "No" } } }, "TSMYEAR": { "label": "MH: Edited year of second marriage.", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "-1": "Not in Universe" }, "range": [ { "min": "1957", "max": "2009", "description": "Year of second marriage" } ] } }, "TEMPALL1": { "label": "JB: Number of employees at all locations", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "3": "100+ employees", "1": "Under 25 employees", "2": "25 to 99 employees", "-1": "Not in Universe" } } }, "ARBATTYP": { "label": "TXR: Allocation flag for ERBATTYP", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Statistical imputation (hot deck)", "2": "Cold deck imputation", "0": "Not imputed", "3": "Logical imputation (derivation)" } } }, "ARESNSS1": { "label": "GI: Allocation flag for ERESNSS1", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "4": "Statistical or logical imputation using previous wave data", "2": "Cold deck imputation", "0": "Not imputed", "1": "Statistical imputation (hot deck)", "3": "Logical imputation (derivation)" } } }, "ARESNSS2": { "label": "GI: Allocation flag for ERESNSS2", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "Not imputed", "2": "Cold deck imputation", "4": "Statistical or logical imputation using previous wave data", "1": "Statistical imputation (hot deck)", "3": "Logical imputation (derivation)" } } }, "AFOODTYP": { "label": "GI: Allocation flag for EFOODTP1-EFOODTP4", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "Not imputed", "3": "Logical imputation (derivation)", "2": "Cold deck imputation", "4": "Statistical or logical imputation using previous wave data", "1": "Statistical imputation (hot deck)" } } }, "EAFBWRK": { "label": "FH: Respondent worked for pay after birth of first child", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "2": "No", "1": "Yes", "-1": "Not in Universe" } } }, "TPEARN": { "label": "PE: Total person's earned income for the reference month", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "None or not in universe" }, "range": [ { "min": "-1500000", "max": "1500000", "description": "Amount in dollars" } ] } }, "A01AMTK": { "label": "GI: Allocation flag for T01AMTK", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Statistical imputation (hot deck)", "4": "Statistical or logical imputation using previous wave data", "2": "Cold deck imputation", "3": "Logical imputation (derivation)", "0": "Not imputed" } } }, "EAWKUNV": { "label": "WD: Universe indicator", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "In universe", "-1": "Not in Universe" } } }, "ERRP": { "label": "PE: Household relationship", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Reference person with related persons in household", "13": "Other non-relative of reference person", "6": "Parent of reference person", "7": "Brother/sister of reference person", "10": "Unmarried partner of reference person", "12": "Roomer/boarder", "5": "Grandchild of reference person", "11": "Housemate/roommate", "2": "Reference Person without related persons in household", "8": "Other relative of reference person", "3": "Spouse of reference person", "4": "Child of reference person", "9": "Foster child of reference person" } } }, "TLANG1": { "label": "HH: What language is spoken at home", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "9": "Other Asian languages (Japanese, Korean)", "10": "Other And Unspecified Languages", "6": "Chinese, Mandarin, Cantonese", "2": "French (include Creole)", "5": "Other Indo-European languages (Greek, Italian, Portuguese, Hindi,Urdu)", "-1": "Not in Universe", "8": "Vietnamese", "1": "Spanish", "3": "German", "7": "Tagalog, Philipino", "4": "Slavic languages (Polish, Russian, Serbo-Croatin, Bosnian, Yugoslavian)" } } }, "EINCPB1": { "label": "BS: Incorporated business", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "2": "No", "-1": "Not in Universe", "1": "Yes" } } }, "EINCPB2": { "label": "BS: Incorporated business", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Yes", "-1": "Not in Universe", "2": "No" } } }, "RNMLEVEM": { "label": "FH: # of mnths after 1st birth left post birth employer", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "-1": "Not in Universe" }, "range": [ { "min": "0", "max": "9999", "description": "Number of months" } ] } }, "AEDUCATE": { "label": "ED: Allocation flag for EEDUCATE", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "4": "Statistical or logical imputation using previous wave data", "0": "Not imputed", "1": "Statistical imputation (hot deck)", "3": "Logical imputation (derivation)", "2": "Cold deck imputation" } } }, "AMIJNT": { "label": "AS: Allocation flag for TMIJNT", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "Not imputed", "4": "Statistical or logical imputation using previous wave data", "1": "Statistical imputation (hot deck)", "2": "Cold deck imputation", "6": "Derived from range based values", "3": "Logical imputation (derivation)" } } }, "ALBLIVNW": { "label": "FH: Allocation flag for ELBLIVNW", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "Not imputed", "3": "Logical imputation(derivation)", "4": "Imputed based on previous wave data", "1": "Statistical imputation(hot deck)", "2": "Cold deck" } } }, "TFFDSTP": { "label": "FA: Total Family food stamps Received Recode", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "range": [ { "min": "0", "max": "150000", "description": "Dollar amount" } ] } }, "RNKLUN": { "label": "HH: Number of children receiving lunch at school", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "-1": "Not in Universe" }, "range": [ { "min": "1", "max": "30", "description": "Number of children" } ] } }, "ASVJTINT": { "label": "AS: Allocation flag for TSVJTINT", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "3": "Logical imputation (derivation)", "6": "Derived from range based values", "1": "Statistical imputation (hot deck)", "4": "Statistical or logical imputation using previous wave data", "2": "Cold deck imputation", "0": "Not imputed" } } }, "EPNGUARD": { "label": "PE: Person number of guardian", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "-1": "Not in Universe", "9999": "Guardian not in household" }, "range": [ { "min": "101", "max": "1399", "description": "Person number" } ] } }, "AMOWNADV": { "label": "AS: Allocation flag for TMOWNADV", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "2": "Cold deck imputation", "6": "Derived from range based values", "3": "Logical imputation (derivation)", "1": "Statistical imputation (hot deck)", "0": "Not imputed", "4": "Statistical or logical imputation using previous wave data" } } }, "AHINOMTH": { "label": "HI: Allocation flag for EHINOMTH", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "3": "Logical imputation (derivation)", "2": "Cold deck", "0": "No imputation", "1": "Statistical imputation (hot deck)" } } }, "ASPEAK": { "label": "HH: Allocation flag for ESPEAK", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "3": "Logical imputation (derivation)", "1": "Statistical imputation (hot deck)", "4": "Statistical or logical imputation using previous wave data", "0": "Not imputed", "2": "Cold deck imputation" } } }, "A01AMTA": { "label": "GI: Allocation flag for T01AMTA", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "Not imputed", "4": "Statistical or logical imputation using previous wave data", "1": "Statistical imputation (hot deck)", "2": "Cold deck imputation", "3": "Logical imputation (derivation)" } } }, "AHICVYR": { "label": "HI: Allocation flag for EHICVYR", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "No imputation", "3": "Logical imputation (derivation)", "2": "Cold deck", "1": "Statistical imputation (hot deck)" } } }, "ALMTVER": { "label": "WD: Allocation flag for ELMTVER.", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "Not imputed", "1": "Statistical imputation (hot deck)", "3": "Logical imputation", "2": "Cold deck imputation" } } }, "AGROSB1": { "label": "BS: Allocation flag for EGROSB1", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "Not imputed", "2": "Cold deck imputation", "1": "Statistical imputation(hot deck)", "4": "Statistical or logical imputation using previous wave data", "3": "Logical imputation(derivation)" } } }, "T05AMT": { "label": "GI: Amount of State unemployment compensation", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "None or not in universe" }, "range": [ { "min": "1", "max": "99999", "description": "Amount in dollars" } ] } }, "EAFEVER": { "label": "AF: Lifetime Armed Forces status", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "2": "No", "-1": "Not in Universe", "1": "Yes" } } }, "AMRTOWN": { "label": "AS: Allocation flag for EMRTOWN", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "3": "Logical imputation (derivation)", "4": "Statistical or logical imputation using previous wave data", "0": "Not imputed", "1": "Statistical imputation (hot deck)", "2": "Cold deck imputation" } } }, "ABSOCC2": { "label": "BS: Allocation flag for TBSOCC2", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "Not imputed", "1": "Statistical imputation(hot deck)", "3": "Logical imputation(derivation)", "2": "Cold deck imputation", "4": "Statistical or logical imputation using previous wave data" } } }, "ABSOCC1": { "label": "BS: Allocation flag for TBSOCC1", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "4": "Statistical or logical imputation using previous wave data", "1": "Statistical imputation(hot deck)", "2": "Cold deck imputation", "0": "Not imputed", "3": "Logical imputation(derivation)" } } }, "TMIOWN": { "label": "AS: Amount of interest paid on own mortgage", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "None or not in universe" }, "range": [ { "min": "1", "max": "20000", "description": "Dollars" } ] } }, "RNOTAKE": { "label": "LF: Reason couldn't start job", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "3": "School", "4": "OTHER", "2": "Own Temporary Illness", "-1": "Not in Universe", "0": "Not reported", "1": "Waiting for a new job to begin" } } }, "EOUTCOME": { "label": "HH: Interview Status code for this household", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "262": "TYPE-C, merged with another SIPP household", "248": "TYPE-C, other (specify)", "271": "TYPE-C, mover, new address located in same FR's area -PARENT", "217": "TYPE-A, temporarily absent (ta)", "207": "Complete partial - TYPE-Z; no futher followup", "252": "TYPE-C, living in armed forces barracks", "255": "TYPE-C, no Wave 1 persons remaining in household", "253": "TYPE-C, on active duty in Armed Forces", "254": "TYPE-C, no one over age 15 years in household", "213": "TYPE-A, language problem", "280": "TYPE-D, mover, no longer located in FR's assignment area -SPAWN", "249": "TYPE-C, sample adjustment", "250": "TYPE-C, hh deceased", "201": "Completed interview", "218": "TYPE-A, hh refused", "219": "TYPE-A, other occupied (specify)", "261": "TYPE-D, moved within U.S. but outside SIPP -SPAWN", "216": "TYPE-A, no one home (noh)", "270": "TYPE-C, mover, no longer located in FR's area -PARENT", "260": "TYPE-D, moved address unknown -SPAWN", "251": "TYPE-C, moved out of country", "234": "TYPE-B, entire hh institut. or temp. ineligible", "203": "Compl. partial- missing data; no TYPE-Z" } } }, "A28AMT": { "label": "GI: Allocation flag for T28AMT", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Statistical imputation (hot deck)", "3": "Logical imputation (derivation)", "4": "Statistical or logical imputation using previous wave data", "0": "Not imputed", "2": "Cold deck imputation" } } }, "EHIOWNER": { "label": "HI: Covered by own plan, someone else's, both or neither", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "3": "Covered both in own name and by someone else's plan", "2": "Covered by someone else's plan", "-1": "Not in Universe", "4": "Not covered", "1": "Covered in own name" } } }, "AUECTYP5": { "label": "GI: Allocation flag for EUECTYP5", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Statistical imputation (hot deck)", "0": "Not imputed", "2": "Cold deck imputation", "3": "Logical imputation (derivation)", "4": "Statistical or logical imputation using previous wave data" } } }, "AUECTYP6": { "label": "GI: Allocation flag for EUECTYP6", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "4": "Statistical or logical imputation using previous wave data", "0": "Not imputed", "1": "Statistical imputation (hot deck)", "2": "Cold deck imputation", "3": "Logical imputation (derivation)" } } }, "ASTLEMP1": { "label": "JB: Allocation flag for ESTLEMP1", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "Not imputed", "2": "Cold deck imputation", "3": "Logical imputation(derivation)", "1": "Statistical imputation(hot deck)", "4": "Statistical or logical imputation using previous wave data" } } }, "ACOLLSTR": { "label": "ET: Allocation flag for TCOLLSTR.", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Statistical imputation(hot deck)", "3": "Logical imputation(derivation)", "0": "Not imputed", "2": "Cold deck" } } }, "ASTLEMP2": { "label": "JB: Allocation flag for ESTLEMP2", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "2": "Cold deck imputation", "0": "Not imputed", "4": "Statistical or logical imputation using previous wave data", "3": "Logical imputation(derivation)", "1": "Statistical imputation(hot deck)" } } }, "EMOONLIT": { "label": "LF: Additional work", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "2": "No", "-1": "Not in Universe", "1": "Yes" } } }, "ALSTSCHL": { "label": "ET: Allocation flag for TLSTSCHL.", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "2": "Cold deck", "1": "Statistical imputation(hot deck)", "0": "Not imputed", "3": "Logical imputation(derivation)" } } }, "AALIYN": { "label": "GI: Allocation flag for EALIYN", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "4": "Statistical or logical imputation using previous wave data", "2": "Cold deck imputation", "3": "Logical imputation (derivation)", "1": "Statistical imputation (hot deck)", "0": "Not imputed" } } }, "ACRMTH": { "label": "HI: Allocation flag for ECRMTH", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "2": "Cold deck imputation", "4": "Statistical or logical imputation using previous wave data", "1": "Statistical imputation (hot deck)", "0": "Not imputed", "3": "Logical imputation (derivation)" } } }, "ETYPDAD": { "label": "PE: Type of child to father", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Biological child", "-1": "Not in Universe", "2": "Stepchild", "3": "Adopted child" } } }, "APTWRK": { "label": "LF: Allocation flag for EPTWRK", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "Not imputed", "1": "Statistical imputation(hot deck)", "2": "Cold deck imputation", "3": "Logical imputation(derivation)", "4": "Statistical or logical imputation using previous wave data" } } }, "EGVJT": { "label": "AS: Jointly owned U.S. Government securities", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Yes", "-1": "Not in Universe", "2": "No" } } }, "LGTMON": { "label": "PE: Longitudinal month", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "range": [ { "min": "1", "max": "60", "description": "Longitudinal month" } ] } }, "ETRN1TIM": { "label": "ET: Length time most recent training of this type last", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Less than 1 full day (less than 8 hours)", "4": "Currently in training", "-1": "Not in Universe", "3": "More than 1 week (more than 40 hours)", "2": "1 Day to 1 week (8-40 hours)" } } }, "EAFBST09": { "label": "FH: After child was born, resp. on unpaid vacation leave", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "2": "No", "-1": "Not in Universe", "1": "Yes" } } }, "EAFBST07": { "label": "FH: After child was born, was resp. on disability leave", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Yes", "2": "No", "-1": "Not in Universe" } } }, "ASTSSI": { "label": "GI: Allocation flag for ESTSSI", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "2": "Cold deck imputation", "1": "Statistical imputation (hot deck)", "4": "Statistical or logical imputation using previous wave data", "0": "Not imputed", "3": "Logical imputation (derivation)" } } }, "EAFBST08": { "label": "FH: After child was born, resp. on paid vacation leave", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Yes", "2": "No", "-1": "Not in Universe" } } }, "A06AMT": { "label": "GI: Allocation flag for T06AMT", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "Not imputed", "1": "Statistical imputation (hot deck)", "2": "Cold deck imputation", "3": "Logical imputation (derivation)", "4": "Statistical or logical imputation using previous wave data" } } }, "ERBAMTH": { "label": "TXR: Tax Rebate month received", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "-1": "Not in Universe", "10": "October", "4": "April", "5": "May", "6": "June", "11": "November", "12": "December", "8": "August", "9": "September", "7": "July" } } }, "TSTRNINC": { "label": "SF: Total related subfamily means-tested cash transfers", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "None or not in universe" }, "range": [ { "min": "1", "max": "1500000", "description": "Dollar amount" } ] } }, "TFUNEMP": { "label": "FA: Total Family Unemployment Income Recode", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "range": [ { "min": "0", "max": "150000", "description": "Dollar amount" } ] } }, "T39AMT": { "label": "GI: Amount of pension/retirement lump sums (ISS Code 39)", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "None or not in universe" }, "range": [ { "min": "1", "max": "140000", "description": "Amount in dollars" } ] } }, "EASSOCFD": { "label": "ET: In what field did... receive Associate degree?", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "11": "Social Sciences/History", "12": "Visual and Commercial Arts", "10": "Police/Protective Services", "7": "Health Sciences", "5": "Education", "8": "Liberal Art/Humanities", "14": "Other", "1": "Agriculture/Forestry/Horticulture", "13": "Other Vocational/Technical Studies", "6": "Engineering/Drafting", "-1": "Not in Universe", "4": "Computer and Information Services", "9": "Nature Sciences(Biological and Physical)", "2": "Business/Office Management", "3": "Communications" } } }, "TROLLAMT": { "label": "GI: Amnt rolled over into retirement acct in ref. period", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "None or not in universe" }, "range": [ { "min": "1", "max": "15000", "description": "Amount in dollars" } ] } }, "EAFBST12": { "label": "FH: After child was born, resp. never stopped working", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "2": "No", "1": "Yes", "-1": "Not in Universe" } } }, "EAFBST13": { "label": "FH: After child was born, was resp. self-employed", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Yes", "2": "No", "-1": "Not in Universe" } } }, "EPREVWK": { "label": "WD: Health or cond prevents working at job or business", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "2": "No", "-1": "Not in Universe", "1": "Yes" } } }, "EAFBST10": { "label": "FH: After child was born, was resp. on other paid leave", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "2": "No", "1": "Yes", "-1": "Not in Universe" } } }, "APNMOM": { "label": "PE: Allocation flag for EPNMOM", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "Not imputed", "1": "Statistical imputation (hot deck)", "2": "Cold deck imputation", "4": "Statistical or logical imputation using previous wave data", "3": "Logical imputation (derivation)" } } }, "EAFBST11": { "label": "FH: After child was born, resp. on other unpaid leave", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "2": "No", "1": "Yes", "-1": "Not in Universe" } } }, "EAFBST14": { "label": "FH: Aft child was born, did employer go out of business", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "2": "No", "1": "Yes", "-1": "Not in Universe" } } }, "AFCCYN": { "label": "GI: Allocation flag for EFCCYN", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Statistical imputation (hot deck)", "0": "Not imputed", "2": "Cold deck imputation", "3": "Logical imputation (derivation)", "4": "Statistical or logical imputation using previous wave data" } } }, "T62AMT": { "label": "GI: Amount of clothing assistance", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "None or not in universe" }, "range": [ { "min": "1", "max": "2400", "description": "Amount in dollars" } ] } }, "EAFBST15": { "label": "FH: Other circumstances why respondent did not work", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "-1": "Not in Universe", "1": "Yes", "2": "No" } } }, "ECOURSE5": { "label": "ET: Respondent took industrl art,shop,or home economics", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "-1": "Not in Universe", "1": "Took course", "2": "Didn't take courses" } } }, "ECOURSE4": { "label": "ET: Respondent took two or more yrs of foreign language", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Took course", "-1": "Not in Universe", "2": "Didn't take courses" } } }, "ECOURSE7": { "label": "ET: Respondent took two or more years of fine arts.", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Took course", "-1": "Not in Universe", "2": "Didn't take courses" } } }, "ECOURSE6": { "label": "ET: Respondent took business courses.", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "2": "Didn't take courses", "1": "Took course", "-1": "Not in Universe" } } }, "ECOURSE1": { "label": "ET: Respondent took two or more years of advanced math", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Took course", "-1": "Not in Universe", "2": "Didn't take courses" } } }, "ECOURSE3": { "label": "ET: Respondent took English composition or literature.", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "-1": "Not in Universe", "2": "Didn't take courses", "1": "Took course" } } }, "ECOURSE2": { "label": "ET: Respondent took two or more yrs of advanced science", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "-1": "Not in Universe", "1": "Took course", "2": "Didn't take courses" } } }, "ECKOAST": { "label": "AS: Solely owned interest earning checking account", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Yes", "2": "No", "-1": "Not in Universe" } } }, "EFRERDBK": { "label": "HH: Were they free or reduced price?", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "2": "Reduced-price breakfast", "-1": "Not in Universe", "1": "Free breakfast" } } }, "AOTHRRSN": { "label": "GI: Allocation flag for ROTHRRSN", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "2": "Cold deck imputation", "3": "Logical imputation (derivation)", "0": "Not imputed", "4": "Statistical or logical imputation using previous wave data", "1": "Statistical imputation (hot deck)" } } }, "EWHOTRN1": { "label": "ET: Who paid for most recent training?", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "2": "Self or family", "1": "Federal, state, or local government program (NOT employer)", "-1": "Not in Universe", "3": "Current or previous employer", "4": "OTHER" } } }, "ELMTVER": { "label": "WD: Health condition limits kind or amount of work", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Yes", "2": "No", "-1": "Not in Universe" } } }, "EWHOTRN2": { "label": "ET: Who sponsored or paid for... most recent training?", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Federal, state, or local government program (NOT employer)", "4": "OTHER", "2": "Self or family", "3": "Current or previous employer", "-1": "Not in Universe" } } }, "AROLOVR1": { "label": "GI: Allocation flag for EROLOVR1", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "4": "Statistical or logical imputation using previous wave data", "1": "Statistical imputation (hot deck)", "2": "Cold deck imputation", "3": "Logical imputation (derivation)", "0": "Not imputed" } } }, "AROLOVR2": { "label": "GI: Allocation flag for EROLOVR2", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "Not imputed", "4": "Statistical or logical imputation using previous wave data", "2": "Cold deck imputation", "3": "Logical imputation (derivation)", "1": "Statistical imputation (hot deck)" } } }, "T06AMT": { "label": "GI: Amount of Supplemental Unemployment Benefits", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "None or not in universe" }, "range": [ { "min": "1", "max": "99999", "description": "Amount in dollars" } ] } }, "ACSAGY": { "label": "GI: Allocation flag for TCSAGY", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "Not imputed", "4": "Statistical or logical imputation using previous wave data", "1": "Statistical imputation (hot deck)", "2": "Cold deck imputation", "3": "Logical imputation (derivation)" } } }, "ECLTHSC2": { "label": "GI: Clothing assistance from-charity", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "2": "No", "-1": "Not in Universe", "1": "Yes" } } }, "ECLTHSC3": { "label": "GI: Clothing assistance from-family/friends", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "-1": "Not in Universe", "1": "Yes", "2": "No" } } }, "TRNDUP1": { "label": "AS: Amount of income from royalties", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "None or not in universe" }, "range": [ { "min": "1", "max": "20000", "description": "Dollars" } ] } }, "ECLTHSC4": { "label": "GI: Clothing assistance from-employer", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "2": "No", "1": "Yes", "-1": "Not in Universe" } } }, "TRNDUP2": { "label": "AS: Amount of other income from financial investments", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "None or not in universe" }, "range": [ { "min": "-20000", "max": "60000", "description": "Dollars" } ] } }, "ECLTHSC5": { "label": "GI: Clothing assistance from-some place else", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "-1": "Not in Universe", "1": "Yes", "2": "No" } } }, "EAEDUNV": { "label": "ET: Universe indicator.", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "In universe", "-1": "Not in Universe" } } }, "TAGE": { "label": "PE: Age as of last birthday", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "Less than 1 full year old" }, "range": [ { "min": "1", "max": "90", "description": "Number of years old" } ] } }, "RHCHANGE": { "label": "HH: Change in household composition from previous month", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Change occurred", "2": "No change occurred" } } }, "ACDOINT": { "label": "AS: Allocation flag for TCDOINT", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "4": "Statistical or logical imputation using previous wave data", "2": "Cold deck imputation", "0": "Not imputed", "3": "Logical imputation (derivation)", "6": "Derived from range based values", "1": "Statistical imputation (hot deck)" } } }, "RCOLLVOC": { "label": "ED: Diploma or certificate from vocational school and education recode", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "8": "Vocational certificate, less than one year of college, no degree", "1": "No vocational certificate or under 18, less than high school education", "2": "No vocational certificate or under 18, high school diploma", "4": "No vocational certificate or under 18, one or more years of college, no degree", "5": "No vocational certificate or under 18, associate degree or higher degree", "6": "Vocational certificate, less than high school education", "3": "No vocational certificate or under 18, less than one year of college, no degree", "10": "Vocational certificate, associate degree, or higher degree", "7": "Vocational certificate, high school diploma", "-1": "Not in Universe", "9": "Vocational certificate, one or more years of college, no degree" } } }, "A62AMT": { "label": "GI: Allocation flag for T62AMT", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "Not imputed", "2": "Cold deck imputation", "3": "Logical imputation (derivation)", "4": "Statistical or logical imputation using previous wave data", "1": "Statistical imputation (hot deck)" } } }, "ECLOTHTP": { "label": "GI: Type of clothing assistance ... received", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "2": "Money or vouchers", "3": "Both clothes and money or vouchers", "-1": "Not in Universe", "1": "Clothes" } } }, "A39AMT": { "label": "GI: Allocation flag for T39AMT", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "2": "Cold deck imputation", "3": "Logical imputation (derivation)", "1": "Statistical imputation (hot deck)", "0": "Not imputed", "4": "Statistical or logical imputation using previous wave data" } } }, "TMOVEST": { "label": "MG: Year moved into this state", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "-1": "Not in Universe", "-3": "Always lived in this state", "-5": "Always lived there" }, "range": [ { "min": "1951", "max": "2009", "description": "Year moved into this state" } ] } }, "AWIDIV2": { "label": "MH: Allocation flag for EWIDIV2.", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "Not imputed", "2": "Cold deck", "3": "Logical imputation(derivation)", "1": "Statistical imputation(hot deck)" } } }, "AHIMTH": { "label": "HI: Allocation flag for EHIMTH", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "2": "Cold deck imputation", "0": "Not imputed", "5": "Indicates children's coverage assigned. (See user note for details.)", "1": "Statistical imputation (hot deck)", "3": "Logical imputation (derivation)", "4": "Statistical or logical imputation using previous wave data" } } }, "AWIDIV1": { "label": "MH: Allocation flag for EWIDIV1.", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "Not imputed", "4": "Imputed based upon previous wave data", "1": "Statistical imputation(hot deck)", "2": "Cold deck", "3": "Logical imputation(derivation)" } } }, "T75AMT": { "label": "GI: Amount of other government income (ISS Code 75)", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "None or not in universe" }, "range": [ { "min": "1", "max": "999999", "description": "Amount in dollars" } ] } }, "TEMPB2": { "label": "BS: Maximum number of employees", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "-1": "Not in Universe", "2": "25 to 99 employees", "1": "Under 25 employees", "3": "100+ employees" } } }, "TEMPB1": { "label": "BS: Maximum number of employees", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Under 25 employees", "2": "25 to 99 employees", "3": "100+ employees", "-1": "Not in Universe" } } }, "AGROSB2": { "label": "BS: Allocation flag for EGROSB2", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "Not imputed", "3": "Logical imputation(derivation)", "4": "Statistical or logical imputation using previous wave data", "1": "Statistical imputation(hot deck)", "2": "Cold deck imputation" } } }, "A05AMT": { "label": "GI: Allocation flag for T05AMT", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Statistical imputation (hot deck)", "3": "Logical imputation (derivation)", "0": "Not imputed", "2": "Cold deck imputation", "4": "Statistical or logical imputation using previous wave data" } } }, "RPREMAR": { "label": "FH: Was first child born before 1st marriage", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "2": "No", "-1": "Not in Universe", "1": "Yes" } } }, "EAFBWKHR": { "label": "FH: Aft pregnancy, resp. worked same, more or fewer hrs", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "-1": "Not in Universe", "3": "Fewer hours than the last job", "2": "More hours than the last job", "1": "About the same hours" } } }, "TFPNDIST": { "label": "FA: Family distributions from pension plans", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "range": [ { "min": "0", "max": "1500000", "description": "Dollar amount" } ] } }, "APREVWK": { "label": "WD: Allocation flag for EPREVWK.", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "2": "Cold deck imputation", "1": "Statistical imputation (hot deck)", "3": "Logical imputation", "0": "Not imputed" } } }, "AGVJTINT": { "label": "AS: Allocation flag for TGVJTINT", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "4": "Statistical or logical imputation using previous wave data", "3": "Logical imputation (derivation)", "0": "Not imputed", "1": "Statistical imputation (hot deck)", "2": "Cold deck imputation", "6": "Derived from range based values" } } }, "AINSRSN": { "label": "GI: Allocation flag for RINSRSN", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "4": "Statistical or logical imputation using previous wave data", "0": "Not imputed", "1": "Statistical imputation (hot deck)", "2": "Cold deck imputation", "3": "Logical imputation (derivation)" } } }, "ECLTHSC1": { "label": "GI: Clothing assistance from-government agency", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "-1": "Not in Universe", "2": "No", "1": "Yes" } } }, "APENSRSN": { "label": "GI: Allocation flag for RPENSRSN", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Statistical imputation (hot deck)", "4": "Statistical or logical imputation using previous wave data", "0": "Not imputed", "2": "Cold deck imputation", "3": "Logical imputation (derivation)" } } }, "EXMAR": { "label": "MH: Number of times married in lifetime", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "-1": "Not in Universe", "4": "Married four or more times", "3": "Married thrice", "1": "Married once", "2": "Married twice" } } }, "THSOCSEC": { "label": "HH: Total Household Social Security Income Recode", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "range": [ { "min": "0", "max": "150000", "description": "Dollar amount" } ] } }, "RPYPER1": { "label": "JB: Frequency of payment at job", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Once a week", "4": "Twice a month", "6": "On commission", "8": "Not reported", "2": "Once every two weeks", "7": "Some other way", "-1": "Not in Universe", "5": "Unpaid in a family business or farm", "3": "Once a month" } } }, "AALLCOND": { "label": "WD: Allocation flag for EALLCON1 TO EALCON30", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Statistical imputation (hot deck)", "0": "Not imputed", "3": "Logical imputation", "2": "Cold deck imputation" } } }, "EMARPTH": { "label": "MH: Determines marital event dates for ....", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "-1": "Not in Universe", "0": "No marital path" }, "range": [ { "min": "1", "max": "24", "description": "Marital path available" } ] } }, "A27AMT": { "label": "GI: Allocation flag for T27AMT", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "Not imputed", "4": "Statistical or logical imputation using previous wave data", "2": "Cold deck imputation", "3": "Logical imputation (derivation)", "1": "Statistical imputation (hot deck)" } } }, "APREVBYR": { "label": "WD: Allocation flag for TPREVBYR.", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "Not imputed", "1": "Statistical imputation (hot deck)", "2": "Cold deck imputation", "3": "Logical imputation" } } }, "TFSYEAR": { "label": "MH: Edited year of first separation.", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "-1": "Not in Universe" }, "range": [ { "min": "1957", "max": "2009", "description": "Year of first separation" } ] } }, "EFREELUN": { "label": "HH: Qualify for free or reduced price school lunch", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "-1": "Not in Universe", "2": "No", "1": "Yes" } } }, "RNMRETWK": { "label": "FH: Number of months after 1st birth returned to work", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "-1": "Not in Universe" }, "range": [ { "min": "0", "max": "9999", "description": "Number of months" } ] } }, "ABSIND1": { "label": "BS: Allocation flag for TBSIND1", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "4": "Statistical or logical imputation using previous wave data", "1": "Statistical imputation(hot deck)", "0": "Not imputed", "3": "Logical imputation(derivation)", "2": "Cold deck imputation" } } }, "ABSIND2": { "label": "BS: Allocation flag for TBSIND2", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Statistical imputation(hot deck)", "4": "Statistical or logical imputation using previous wave data", "2": "Cold deck imputation", "0": "Not imputed", "3": "Logical imputation(derivation)" } } }, "SSUSEQ": { "label": "SU: Sequence Number of Sample Unit - Primary Sort Key", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "range": [ { "min": "1", "max": "65000", "description": "Sequence Number" } ] } }, "ERENDB1": { "label": "BS: Reason business ended", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "6": "School/training", "5": "Own injury", "11": "Quit for some other reason", "9": "To start other business/take job", "10": "Season ended for a seasonal business", "2": "Childcare problems", "-1": "Not in Universe", "8": "Sold business or transferred ownership", "1": "Retirement or old age", "4": "Own illness", "7": "Went bankrupt/business failed", "3": "Other family/personal problems" } } }, "ERENDB2": { "label": "BS: Reason business ended", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "5": "Own injury", "2": "Childcare problems", "3": "Other family/personal problems", "8": "Sold business or transferred ownership", "11": "Quit for some other reason", "-1": "Not in Universe", "6": "School/training", "7": "Went bankrupt/business failed", "1": "Retirement or old age", "4": "Own illness", "9": "To start other business/take job", "10": "Season ended for a seasonal business" } } }, "TMTHRNT": { "label": "HH: Amount of monthly rent", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "None or not in universe" }, "range": [ { "min": "1", "max": "4000", "description": "Monthly rent" } ] } }, "TFTOTINC": { "label": "FA: Total family income for this month", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "range": [ { "min": "-1500000", "max": "1500000", "description": "Dollar amount" } ] } }, "EEMPLOC2": { "label": "JB: Employer operations in more than one location", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "2": "No", "-1": "Not in Universe", "1": "Yes" } } }, "EEMPLOC1": { "label": "JB: Employer operations in more than one location", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "-1": "Not in Universe", "1": "Yes", "2": "No" } } }, "EMRTJNT": { "label": "AS: Mortgage owned jointly with spouse", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Yes", "2": "No", "-1": "Not universe" } } }, "ASEX": { "label": "PE: Allocation flag for ESEX", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "3": "Logical imputation (derivation)", "0": "Not imputed", "1": "Statistical imputation (hot deck)", "4": "Statistical or logical imputation using previous wave data", "2": "Cold deck imputation" } } }, "TSVETS": { "label": "SF: Total related subfamily Veterans Payments", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "None or not in universe" }, "range": [ { "min": "1", "max": "150000", "description": "Dollar amount" } ] } }, "TMOMCHL": { "label": "FH: Number of children resp. has ever given birth to", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "-1": "Not in Universe" }, "range": [ { "min": "0", "max": "6", "description": "Number of child(ren)" } ] } }, "RPYPER2": { "label": "JB: Frequency of payment at job", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "2": "Once every two weeks", "6": "On commission", "1": "Once a week", "8": "Not reported", "4": "Twice a month", "7": "Some other way", "3": "Once a month", "-1": "Not in Universe", "5": "Unpaid in a family business or farm" } } }, "ACNTRC1": { "label": "JB: Allocation flag for ECNTRC1", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "3": "Logical imputation(derivation)", "1": "Statistical imputation(hot deck)", "2": "Cold deck imputation", "4": "Statistical or logical imputation using previous wave data", "0": "Not imputed" } } }, "ACNTRC2": { "label": "JB: Allocation flag for ECNTRC2", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "3": "Logical imputation(derivation)", "4": "Statistical or logical imputation using previous wave data", "0": "Not imputed", "1": "Statistical imputation(hot deck)", "2": "Cold deck imputation" } } }, "RAS2": { "label": "GI: Reason stopped AFDC/TANF the first time", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "9": "Other", "1": "Got a job or earnings increased", "7": "Chose not to participate", "5": "Eligibility ran out because of time limits", "8": "The money is not worth it", "2": "Family situation changed", "3": "Others in household earned enough moneh", "6": "Didn't want to use up time limit", "-1": "Not in Universe", "4": "Penalized or sanctioned for non-cooperation" } } }, "ERBATTYP": { "label": "TXR: Tax Rebate how received", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Check", "2": "Direct deposit", "-1": "Not in Universe" } } }, "RAS1": { "label": "GI: Reason stopped AFDC/TANF the first time", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "2": "Family situation changed", "9": "Other", "3": "Others in household earned enough moneh", "1": "Got a job or earnings increased", "4": "Penalized or sanctioned for non-cooperation", "5": "Eligibility ran out because of time limits", "-1": "Not in Universe", "8": "The money is not worth it", "6": "Didn't want to use up time limit", "7": "Chose not to participate" } } }, "T31AMT": { "label": "GI: Amount of Federal Civil Service pension (ISS Code 31)", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "None or not in universe" }, "range": [ { "min": "1", "max": "24000", "description": "Amount in dollars" } ] } }, "ACASHSCE": { "label": "GI: Allocation flag for ECASHSCE1-ECASHSCE4", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Statistical imputation (hot deck)", "0": "Not imputed", "3": "Logical imputation (derivation)", "2": "Cold deck imputation", "4": "Statistical or logical imputation using previous wave data" } } }, "RVETSRSN": { "label": "GI: Reason for receipt of Veterans' comp. or pensions", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "3": "Suvivor", "-1": "Not in Universe", "8": "No payment received" } } }, "RENROLL": { "label": "ED: Enrolled Full/Part sometime during 4 month period", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "-1": "Not in Universe", "2": "Enrolled part-time", "3": "Not enrolled", "1": "Enrolled full-time" } } }, "RFOKLT18": { "label": "FA: Number of own children under 18 in family", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "range": [ { "min": "0", "max": "30", "description": "Number of own children under 18" } ] } }, "TFTYEAR": { "label": "MH: Edited year of first termination.", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "-1": "Not in Universe" }, "range": [ { "min": "1957", "max": "2009", "description": "Year of first termination" } ] } }, "SROTATON": { "label": "SU: Rotation of data collection", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "range": [ { "min": "1", "max": "4", "description": "Rotation of data collection" } ] } }, "TEBDATE2": { "label": "BS: Date operation of business ended", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "-1": "Not in Universe" }, "range": [ { "min": "20080501", "max": "20121231", "description": "Date" } ] } }, "EMCOCOV": { "label": "HI: Type of public health insurance received <20 yrs old", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "2": "State Children's Health Insurance Program (SCHIP)", "1": "Medicaid", "-1": "Not in Universe", "3": "Other public health insurance" } } }, "TEBDATE1": { "label": "BS: Date operation of business ended", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "-1": "Not in Universe" }, "range": [ { "min": "20080501", "max": "20121231", "description": "Date" } ] } }, "EAMRUNV": { "label": "MH: Universe indicator.", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "In universe", "-1": "Not in Universe" } } }, "ETRANTP2": { "label": "GI: Whether ... received transportation assistance -- bus or subway tokens", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Yes", "2": "No", "-1": "Not in Universe" } } }, "ETRANTP3": { "label": "GI: Whether ... received transportation assistance -- help with car", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "-1": "Not in Universe", "2": "No", "1": "Yes" } } }, "AMOVYRYR": { "label": "MG: Allocation flag for TMOVYRYR", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "Not imputed", "2": "Cold deck", "3": "Logical imputation(derivation)", "1": "Statistical imputation(hot deck)" } } }, "ETRANTP1": { "label": "GI: Whether ... received transportation assistance -- gas vouchers", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Yes", "-1": "Not in Universe", "2": "No" } } }, "TAGESS": { "label": "GI: Age Social Security Disability payments began", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "-1": "Not in Universe" }, "range": [ { "min": "0", "max": "90", "description": "Age in years" } ] } }, "AFSYEAR": { "label": "MH: Allocation flag for TFSYEAR", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "2": "Cold deck", "3": "Logical imputation(derivation)", "1": "Statistical imputation(hot deck)", "0": "Not imputed" } } }, "EHINOMTH": { "label": "HI: In what month was ... last not covered by health ins", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "-1": "Not in Universe" }, "range": [ { "min": "1", "max": "12", "description": "Last month not covered" } ] } }, "ETRANTP4": { "label": "GI: Whether ... received transportation assistance -- ride to doctors", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "2": "No", "1": "Yes", "-1": "Not in Universe" } } }, "EOCCTIM1": { "label": "JB: Length of time in this occupation", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "-1": "Not in Universe" }, "range": [ { "min": "1", "max": "999", "description": "months" } ] } }, "EMS": { "label": "PE: Marital status", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "5": "Separated", "6": "Never Married", "1": "Married, spouse present", "3": "Widowed", "4": "Divorced", "2": "Married, spouse absent" } } }, "ETRANTP5": { "label": "GI: Whether ... received transportation assistance -- other", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Yes", "2": "No", "-1": "Not in Universe" } } }, "EOCCTIM2": { "label": "JB: Length of time in this occupation", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "-1": "Not in Universe" }, "range": [ { "min": "1", "max": "999", "description": "months" } ] } }, "EAMGUNV": { "label": "MG: Universe indicator", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "In universe", "-1": "Not in Universe" } } }, "AHTLNYN": { "label": "PE: Allocation flag for EHTLNYN", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "2": "Cold deck imputation", "4": "Statistical or logical imputation using previous wave data", "0": "Not imputed", "1": "Statistical imputation (hot deck)", "3": "Logical imputation (derivation)" } } }, "AR60T": { "label": "GI: Allocation flag for ER60T", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "2": "Cold deck imputation", "0": "Not imputed", "1": "Statistical imputation (hot deck)", "4": "Statistical or logical imputation using previous wave data", "3": "Logical imputation (derivation)" } } }, "EREBATOC": { "label": "TXR: Tax Rebate how spent", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "3": "Mostly to pay off debt", "-1": "Not in Universe", "1": "Mostly to increase spending", "2": "Mostly to increase savings" } } }, "ACKJT": { "label": "AS: Allocation flag for ECKJT", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Statistical imputation (hot deck)", "2": "Cold deck imputation", "4": "Statistical or logical imputation using previous wave data", "0": "Not imputed", "3": "Logical imputation (derivation)" } } }, "EUECTYP5": { "label": "GI: Receipt of State unemployment comp. (ISS Code 5)", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "-1": "Not in Universe", "2": "No", "1": "Yes" } } }, "AEVERET": { "label": "LF: Allocation flag for EEVERET", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Statistical imputation(hot deck)", "3": "Logical imputation(derivation)", "0": "Not imputed", "2": "Cold deck imputation", "4": "Statistical or logical imputation using previous wave data" } } }, "EUECTYP6": { "label": "GI: Receipt of Supplemental Unemployment Benefits", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Yes", "2": "No", "-1": "Not in Universe" } } }, "RCUOWN8B": { "label": "PE: Person number of the 2nd owner of Vet. coverage", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "Not In Universe" }, "range": [ { "min": "101", "max": "1399", "description": "Person number" } ] } }, "GHLFSAM": { "label": "SU: Half Sample Code", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "range": [ { "min": "1", "max": "2", "description": "Half sample code" } ] } }, "RCUOWN8A": { "label": "PE: Person number of the 1st owner of Vet. coverage", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "Not In Universe" }, "range": [ { "min": "101", "max": "1399", "description": "Person number" } ] } }, "TMOVYRYR": { "label": "MG: Year moved into the current home", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "-5": "Always lived there", "-1": "Not in Universe" }, "range": [ { "min": "1968", "max": "2009", "description": "Year moved into the current home" } ] } }, "AHIALLCV": { "label": "HI: Allocation flag for EHIALLCV", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "2": "Cold deck", "1": "Statistical imputation (hot deck)", "0": "No imputation", "3": "Logical imputation (derivation)" } } }, "ALGOVRSN": { "label": "GI: Allocation flag for RLGOVRSN", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Statistical imputation (hot deck)", "4": "Statistical or logical imputation using previous wave data", "3": "Logical imputation (derivation)", "2": "Cold deck imputation", "0": "Not imputed" } } }, "ACITIZNT": { "label": "MG: Allocation flag for ECITIZNT", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "3": "Logical imputation(derivation)", "0": "Not imputed", "1": "Statistical imputation(hot deck)", "2": "Cold deck" } } }, "EUTILYN": { "label": "HH: Payment of utilities in public housing units", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Yes", "2": "No", "-1": "Not in Universe" } } }, "EENTAID": { "label": "PE: Address ID of hhld where person entered sample", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "range": [ { "min": "11", "max": "139", "description": "Entry address ID" } ] } }, "AHIOTHR": { "label": "HI: Allocation flag for EHIOTHR", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "4": "Statistical or logical imputation using previous wave data", "0": "Not imputed", "2": "Cold deck imputation", "3": "Logical imputation (derivation)", "1": "Statistical imputation (hot deck)" } } }, "AADVNCYR": { "label": "ET: Allocation flag for TADVNCYR.", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "Not imputed", "3": "Logical imputation(derivation)", "1": "Statistical imputation(hot deck)", "2": "Cold deck" } } }, "ESTLEMP2": { "label": "JB: Still working for this employer", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "-1": "Not in Universe", "1": "Yes", "2": "No" } } }, "RSB1R2": { "label": "GI: 2nd reason applying for SSI the 1st time", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "3": "Over 65", "-1": "Not in Universe", "2": "Became disabled/blind", "4": "Other, specify" } } }, "TPTOTINC": { "label": "PE: Total person's income for the reference month", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "None or not in universe" }, "range": [ { "min": "-1500000", "max": "1500000", "description": "Amount in dollars" } ] } }, "AHIOWNER": { "label": "HI: Allocation flag for EHIOWNER", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Statistical imputation (hot deck)", "0": "Not imputed", "2": "Cold deck imputation", "4": "Statistical or logical imputation using previous wave data", "3": "Logical imputation (derivation)" } } }, "RSB1R1": { "label": "GI: 1st reason applying for SSI the 1st time", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "4": "Other, specify", "3": "Over 65", "-1": "Not in Universe", "2": "Became disabled/blind" } } }, "ESTLEMP1": { "label": "JB: Still working for this employer", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "2": "No", "-1": "Not in Universe", "1": "Yes" } } }, "A15AMT": { "label": "GI: Allocation flag for T15AMT", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "3": "Logical imputation (derivation)", "4": "Statistical or logical imputation using previous wave data", "0": "Not imputed", "2": "Cold deck imputation", "1": "Statistical imputation (hot deck)" } } }, "A03AMTA": { "label": "GI: Allocation flag for T03AMTA", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "Not imputed", "2": "Cold deck imputation", "1": "Statistical imputation (hot deck)", "3": "Logical imputation (derivation)", "4": "Statistical or logical imputation using previous wave data" } } }, "EBFBPGFT": { "label": "FH: Resp. worked 35+ hours per week before first birth", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "2": "No", "-1": "Not in Universe", "1": "Yes" } } }, "T08AMT": { "label": "GI: Amount of Veterans compensation or pension", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "None or not in universe" }, "range": [ { "min": "1", "max": "99999", "description": "Amount in dollars" } ] } }, "EHIOLDKD": { "label": "HI: Coverage of older child (20+) outside the household", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Yes, covered", "2": "No, not covered", "-1": "Not in Universe" } } }, "ALBIRTYR": { "label": "FH: Allocation flag for TLBIRTYR", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "2": "Cold deck", "0": "Not imputed", "1": "Statistical imputation(hot deck)", "3": "Logical imputation(derivation)", "4": "Imputed based on previous wave data" } } }, "ALMTEMP": { "label": "WD: Allocation flag for ELMTEMP.", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Statistical imputation (hot deck)", "2": "Cold deck imputation", "0": "Not imputed", "3": "Logical imputation" } } }, "TPPNDIST": { "label": "PE: Distributions from pension plans", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "None or not in universe" }, "range": [ { "min": "1", "max": "48000", "description": "Amount in dollars" } ] } }, "RHPOV": { "label": "HH: Poverty threshold for this household in this month", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "range": [ { "min": "1", "max": "5000", "description": "Dollar amount" } ] } }, "A03AMTK": { "label": "GI: Allocation flag for T03AMTK", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "3": "Logical imputation (derivation)", "1": "Statistical imputation (hot deck)", "2": "Cold deck imputation", "0": "Not imputed", "4": "Statistical or logical imputation using previous wave data" } } }, "TPPRPINC": { "label": "PE: Total property (asset) income for the month", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "None or not in universe" }, "range": [ { "min": "-1500000", "max": "1500000", "description": "Amount in dollars" } ] } }, "APTRESN": { "label": "LF: Allocation flag for EPTRESN", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Statistical imputation(hot deck)", "2": "Cold deck imputation", "3": "Logical imputation(derivation)", "4": "Statistical or logical imputation using previous wave data", "0": "Not imputed" } } }, "ASVOAST": { "label": "AS: Allocation flag for ESVOAST.", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "Not imputed", "3": "Logical imputation (derivation)", "4": "Statistical or logical imputation using previous wave data", "2": "Cold deck imputation", "1": "Statistical imputation (hot deck)" } } }, "AINCPB2": { "label": "BS: Allocation flag for EINCPB2", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "3": "Logical imputation(derivation)", "0": "Not imputed", "1": "Statistical imputation(hot deck)", "4": "Statistical or logical imputation using previous wave data", "2": "Cold deck imputation" } } }, "TMOVEUS": { "label": "MG: Year moved to the United States", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "11": "1993-1994", "12": "1995-1996", "14": "1999", "6": "1981-1983", "21": "2007", "10": "1991-1992", "13": "1997-1998", "16": "2001", "17": "2002-2003", "18": "2004", "5": "1979-1980", "8": "1986-1988", "15": "2000", "19": "2005", "2": "1961-1968", "3": "1969-1973", "22": "2008-2009", "-1": "Not in Universe", "7": "1984-1985", "20": "2006", "1": "Before 1961", "4": "1974-1978", "9": "1989-1990" } } }, "AINCPB1": { "label": "BS: Allocation flag for EINCPB1", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "Not imputed", "2": "Cold deck imputation", "1": "Statistical imputation(hot deck)", "4": "Statistical or logical imputation using previous wave data", "3": "Logical imputation(derivation)" } } }, "ESSISELF": { "label": "GI: Receipt of Federal SSI for self (ISS Code 3)", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Yes", "2": "No", "-1": "Not in Universe" } } }, "ACSYN": { "label": "GI: Allocation flag for ECSYN", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "Not imputed", "1": "Statistical imputation (hot deck)", "2": "Cold deck imputation", "3": "Logical imputation (derivation)", "4": "Statistical or logical imputation using previous wave data" } } }, "AMDOAST": { "label": "AS: Allocation flag for EMDOAST", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "4": "Statistical or logical imputation using previous wave data", "0": "Not imputed", "1": "Statistical imputation (hot deck)", "3": "Logical imputation (derivation)", "2": "Cold deck imputation" } } }, "EMNCAUS": { "label": "WD: Condition caused by accident or injury", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "2": "No", "1": "Yes", "-1": "Not in Universe" } } }, "THFDSTP": { "label": "HH: Total Household food stamps Received Recode", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "range": [ { "min": "0", "max": "150000", "description": "Dollar amount" } ] } }, "EHIRSN06": { "label": "HI: Reason not covered: poor health, illness, age, etc.", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Yes", "-1": "Not in Universe", "2": "No" } } }, "THTRNINC": { "label": "HH: Total household means-tested cash transfers", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "range": [ { "min": "0", "max": "1500000", "description": "Dollar amount" } ] } }, "AEJDATE2": { "label": "JB: Allocation flag for TEJDATE2", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "4": "Statistical or logical imputation using previous wave data", "2": "Cold deck imputation", "1": "Statistical imputation(hot deck)", "3": "Logical imputation(derivation)", "0": "Not imputed" } } }, "EHIRSN05": { "label": "HI: Reason not covered: not eligible-part time or temp", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Yes", "2": "No", "-1": "Not in Universe" } } }, "EHIRSN08": { "label": "HI: Reason not covered: haven't needed health insurance", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "2": "No", "-1": "Not in Universe", "1": "Yes" } } }, "TSOTHINC": { "label": "SF: Total 'other' related subfamily income for this month", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "None or not in universe" }, "range": [ { "min": "1", "max": "1500000", "description": "Dollar amount" } ] } }, "TBFBWSY1": { "label": "FH: Year respondent stopped work before birth of child", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "-1": "Not in Universe" }, "range": [ { "min": "1990", "max": "2009", "description": "Year" } ] } }, "EHIRSN07": { "label": "HI: Reason not covered: don't believe in insurance", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Yes", "-1": "Not in Universe", "2": "No" } } }, "AEJDATE1": { "label": "JB: Allocation flag for TEJDATE1", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "Not imputed", "1": "Statistical imputation(hot deck)", "3": "Logical imputation(derivation)", "4": "Statistical or logical imputation using previous wave data", "2": "Cold deck imputation" } } }, "EHIRSN02": { "label": "HI: Reason not covered: HI not offered by employer", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Yes", "2": "No", "-1": "Not in Universe" } } }, "EHIRSN01": { "label": "HI: Reason not covered: too expensive, can't afford", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "-1": "Not in Universe", "2": "No", "1": "Yes" } } }, "EHIRSN04": { "label": "HI: Reason not covered: job layoff, job loss, unemployment", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "2": "No", "-1": "Not in Universe", "1": "Yes" } } }, "EHIRSN03": { "label": "HI: Reason not covered: not at job long enough to qualify", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Yes", "2": "No", "-1": "Not in Universe" } } }, "TLSTSCHL": { "label": "ET: When did... last attend a elementary or high school?", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Currently attending school", "-1": "Not in Universe", "9999": "Never attended school" }, "range": [ { "min": "1934", "max": "2009", "description": "Year attended reg - elementary or high school" } ] } }, "EFREFPER": { "label": "FA: Person number of the family reference person", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "range": [ { "min": "101", "max": "1399", "description": "Person number of family reference person" } ] } }, "A13AMT": { "label": "GI: Allocation flag for T13AMT", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Statistical imputation (hot deck)", "2": "Cold deck imputation", "0": "Not imputed", "4": "Statistical or logical imputation using previous wave data", "3": "Logical imputation (derivation)" } } }, "T03AMTA": { "label": "GI: Amount of Federal SSI - Adult (ISS Code 3)", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "None or not in universe" }, "range": [ { "min": "1", "max": "99999", "description": "Amount in dollars" } ] } }, "RMWKSAB": { "label": "LF: Number of weeks absent without pay from job in month", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "2": "2 weeks", "3": "3 weeks", "1": "1 week", "0": "0 weeks (that is, did not have a job, or not absent without pay from a job) or not applica", "4": "4 weeks", "-1": "Not in Universe", "5": "5 weeks (if applicable)" } } }, "ASVJT": { "label": "AS: Allocation flag for ESVJT", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "Not imputed", "3": "Logical imputation (derivation)", "4": "Statistical or logical imputation using previous wave data", "1": "Statistical imputation (hot deck)", "2": "Cold deck imputation" } } }, "EMDJT": { "label": "AS: Jointly owned money market deposit account", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "-1": "Not in Universe", "1": "Yes", "2": "No" } } }, "ABDOINT": { "label": "AS: Allocation flag for TBDOINT", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "Not imputed", "1": "Statistical imputation (hot deck)", "4": "Statistical or logical imputation using previous wave data", "6": "Derived from range based values", "3": "Logical imputation (derivation)", "2": "Cold deck imputation" } } }, "T03AMTK": { "label": "GI: Amount of Federal SSI - Child (ISS Code 3)", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "None or not in universe" }, "range": [ { "min": "1", "max": "99999", "description": "Amount in dollars" } ] } }, "T21AMT": { "label": "GI: Amount of General Assistance or General Relief", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "None or not in universe" }, "range": [ { "min": "1", "max": "99999", "description": "Amount in dollars" } ] } }, "EHIRSN09": { "label": "HI: Reason not covered: Use VA or military hospital", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Yes", "-1": "Not in Universe", "2": "No" } } }, "TLBIRTYR": { "label": "FH: Year last child was born", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "-1": "Not in Universe" }, "range": [ { "min": "1971", "max": "2009", "description": "Year" } ] } }, "TLTYEAR": { "label": "MH: Edited year of only/last termination.", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "-1": "Not in Universe" }, "range": [ { "min": "1972", "max": "2009", "description": "Year of only/last termination" } ] } }, "A25AMT": { "label": "GI: Allocation flag for T25AMT", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "4": "Statistical or logical imputation using previous wave data", "0": "Not imputed", "2": "Cold deck imputation", "3": "Logical imputation (derivation)", "1": "Statistical imputation (hot deck)" } } }, "ER03A": { "label": "GI: Receipt of Federal SSI - Adult (ISS Code 3)", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "-1": "Not in Universe", "1": "Yes", "2": "No" } } }, "RFB1R1": { "label": "GI: First reason for applying for food stamps the 1st time", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "6": "No change - just decided it was time", "2": "Separation, divorced or widowed", "4": "Loss or reduction of other income", "7": "No change - just heard about the program", "1": "New child (or other dependent) or pregnancy", "-1": "Not in Universe", "8": "Needed to re-certify", "9": "Other", "3": "Job loss or wages reduced", "5": "Became disabled or otherwise unable to work" } } }, "AMJADIV": { "label": "AS: Allocation flag for TMJADIV", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Statistical imputation (hot deck)", "6": "Derived from range based values", "0": "Not imputed", "4": "Statistical or logical imputation using previous wave data", "3": "Logical imputation (derivation)", "2": "Cold deck imputation" } } }, "RFB1R2": { "label": "GI: 2nd reason for applying for food stamps the 1st time", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "New child (or other dependent) or pregnancy", "-1": "Not in Universe", "4": "Loss or reduction of other income", "5": "Became disabled or otherwise unable to work", "3": "Job loss or wages reduced", "8": "Needed to re-certify", "2": "Separation, divorced or widowed", "6": "No change - just decided it was time", "7": "No change - just heard about the program", "9": "Other" } } }, "ALSYEAR": { "label": "MH: Allocation flag for TLSYEAR", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "2": "Cold deck", "1": "Statistical imputation(hot deck)", "0": "Not imputed", "3": "Logical imputation(derivation)" } } }, "AAFBLVYR": { "label": "FH: Allocation flag for TAFBLVYR", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "4": "Imputed based on previous wave data", "3": "Logical imputation(derivation)", "1": "Statistical imputation(hot deck)", "2": "Cold deck", "0": "Not imputed" } } }, "ER03K": { "label": "GI: Receipt of Federal SSI - Child (ISS Code 3)", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "2": "No", "-1": "Not in Universe", "1": "Yes" } } }, "AFBRTHYR": { "label": "FH: Allocation flag for TFBRTHYR", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "4": "Imputed based on previous wave data", "2": "Cold deck", "0": "Not imputed", "1": "Statistical imputation(hot deck)", "3": "Logical imputation(derivation)" } } }, "EHOWWELL": { "label": "HH: Ability to speak English", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "2": "Well", "-1": "Not in Universe", "3": "Not well", "1": "Very well", "4": "Not at all" } } }, "RCUOWN57": { "label": "PE: Person number of the owner of the Medicaid coverage", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "Not In Universe" }, "range": [ { "min": "101", "max": "1399", "description": "Person number" } ] } }, "APUBHSTP": { "label": "GI: Allocation flag for EPUBHSTP", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "2": "Cold deck imputation", "0": "Not imputed", "1": "Statistical imputation (hot deck)", "3": "Logical imputation (derivation)", "4": "Statistical or logical imputation using previous wave data" } } }, "RMWKWJB": { "label": "LF: Number of weeks with a job in month", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "0 weeks (that is, did not look for work, and was not on layoff) or not aplicable", "4": "4 weeks", "1": "1 week", "-1": "Not in Universe", "5": "5 weeks (if applicable)", "3": "3 weeks", "2": "2 weeks" } } }, "AGVTRNT": { "label": "HH: Allocation flag for EGVTRNT", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "No imputation", "4": "Statistical or logical imputation using previous wave data", "1": "Statistical imputation (hot deck)", "3": "Logical imputation (derivation)", "2": "Cold deck imputation" } } }, "EBDJT": { "label": "AS: Jointly owned municipal or corporate bonds", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Yes", "2": "No", "-1": "Not in Universe" } } }, "AGRSSB2": { "label": "BS: Allocation flag for EGRSSB2", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "3": "Logical imputation(derivation)", "0": "Not imputed", "2": "Cold deck imputation", "1": "Statistical imputation(hot deck)", "4": "Statistical or logical imputation using previous wave data" } } }, "EBACHFLD": { "label": "ET: In what field did... receive bachelor's degree?", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "14": "Philosophy/Religion/Theology", "15": "Pre-Professional", "17": "Social Sciences/History", "6": "Education", "9": "Foreign Languages", "11": "Liberal Arts/Humanities", "12": "Math/Statistics", "13": "Nature Sciences(Biological and Physical)", "2": "Art/Architecture", "1": "Agriculture/Forestry", "16": "Psychology", "18": "Other", "3": "Business/Management", "7": "Engineering", "10": "Health Sciences", "-1": "Not in Universe", "4": "Communications", "5": "Computer and Information Sciences", "8": "English/Literature" } } }, "EOWNRNT": { "label": "AS: Any rent from property owned entirely in own name", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Yes", "-1": "Not in Universe", "2": "No" } } }, "AGRSSB1": { "label": "BS: Allocation flag for EGRSSB1", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "Not imputed", "4": "Statistical or logical imputation using previous wave data", "1": "Statistical imputation(hot deck)", "2": "Cold deck imputation", "3": "Logical imputation(derivation)" } } }, "ATRN2TIM": { "label": "ET: Allocation flag for ETRN2TIM.", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "Not imputed", "1": "Statistical imputation(hot deck)", "2": "Cold deck", "3": "Logical imputation(derivation)" } } }, "AJNTSSYN": { "label": "GI: Allocation flag for EJNTSSYN", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Statistical imputation (hot deck)", "4": "Statistical or logical imputation using previous wave data", "0": "Not imputed", "2": "Cold deck imputation", "3": "Logical imputation (derivation)" } } }, "TPREVBYR": { "label": "WD: Year the person became unable to work at a job", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "-3": "Has never been able to work at a job", "-1": "Not in Universe" }, "range": [ { "min": "1980", "max": "2009", "description": "Year" } ] } }, "AMOTHDIV": { "label": "AS: Allocation flag for EMOTHDIV", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "2": "Cold deck imputation", "4": "Statistical or logical imputation using previous wave data", "1": "Statistical imputation (hot deck)", "0": "Not imputed", "3": "Logical imputation (derivation)" } } }, "AR60G": { "label": "GI: Allocation flag for ER60G", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "3": "Logical imputation (derivation)", "0": "Not imputed", "4": "Statistical or logical imputation using previous wave data", "1": "Statistical imputation (hot deck)", "2": "Cold deck imputation" } } }, "EBTSIT09": { "label": "FH: Before child was born resp. on unpaid vacation leave", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Yes", "2": "No", "-1": "Not in Universe" } } }, "EHRSALL": { "label": "LF: Usual hours worked at all jobs during the reference period", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "Not Determined", "-1": "Not in Universe" }, "range": [ { "min": "1", "max": "99", "description": "hours per week" } ] } }, "ERBATAMT": { "label": "TXR: Tax Rebate amount", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "Not In Universe" }, "range": [ { "min": "1", "max": "9999", "description": "Amount of rebate" } ] } }, "ELMPTYP3": { "label": "GI: Receipt of other type of lump sum payment", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "2": "No", "-1": "Not in Universe", "1": "Yes" } } }, "EFRERDLN": { "label": "HH: Were the lunches free or reduced price?", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "2": "Reduced-price lunch", "1": "Free lunch", "-1": "Not in Universe" } } }, "ELMPTYP1": { "label": "GI: Receipt of lump sum from pension/retirement plan", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Yes", "2": "No", "-1": "Not in Universe" } } }, "ELMPTYP2": { "label": "GI: Receipt of severance pay (ISS Code 15)", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Yes", "-1": "Not in Universe", "2": "No" } } }, "ENOWOCC": { "label": "WD: Wrking regularly or irregularly since wrk limitation", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "3": "Not able to work", "1": "Regularly", "-1": "Not in Universe", "2": "Only occasionally or irregularly" } } }, "EBTSIT08": { "label": "FH: Before child was born, resp. on paid vacation leave", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Yes", "2": "No", "-1": "Not in Universe" } } }, "TVOCYR": { "label": "ET: In what year did... receive diploma or certificate?", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "-1": "Not in Universe" }, "range": [ { "min": "1949", "max": "2009", "description": "Year received diploma/cert. from non sec school" } ] } }, "RHMTRF": { "label": "HH: Household means-tested cash or noncash receipt flag", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Yes", "2": "No" } } }, "AJBOCC1": { "label": "JB: Allocation flag for TJBOCC1", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Statistical imputation(hot deck)", "4": "Statistical or logical imputation using previous wave data", "0": "Not imputed", "2": "Cold deck imputation", "3": "Logical imputation(derivation)" } } }, "EBTSIT07": { "label": "FH: Before child was born, was resp. on disability leave", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Yes", "-1": "Not in Universe", "2": "No" } } }, "EBTSIT06": { "label": "FH: Before child was born, resp. on unpaid sick leave", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "-1": "Not in Universe", "1": "Yes", "2": "No" } } }, "EBTSIT05": { "label": "FH: Before child was born, was resp. on paid sick leave", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "-1": "Not in Universe", "1": "Yes", "2": "No" } } }, "EBTSIT04": { "label": "FH: Before child was born resp on unpaid maternity leave", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Yes", "2": "No", "-1": "Not in Universe" } } }, "EBTSIT03": { "label": "FH: Before child was born resp. on paid maternity leave", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Yes", "-1": "Not in Universe", "2": "No" } } }, "AJBOCC2": { "label": "JB: Allocation flag for TJBOCC2", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "3": "Logical imputation(derivation)", "4": "Statistical or logical imputation using previous wave data", "0": "Not imputed", "2": "Cold deck imputation", "1": "Statistical imputation(hot deck)" } } }, "EBTSIT02": { "label": "FH: Before child was born, was resp. let go from her job", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "-1": "Not in Universe", "1": "Yes", "2": "No" } } }, "EBTSIT01": { "label": "FH: Before child was born, did respondent quit working", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "-1": "Not in Universe", "1": "Yes", "2": "No" } } }, "TFPRPINC": { "label": "FA: Total family property income for this month", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "range": [ { "min": "-1500000", "max": "1500000", "description": "Dollar amount" } ] } }, "ER01A": { "label": "GI: Receipt of Social Security - Adult (ISS Code 1)", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Yes", "2": "No", "-1": "Not in Universe" } } }, "EHIRSN12": { "label": "HI: Reason not covered: some other reason", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "-1": "Not in Universe", "2": "No", "1": "Yes" } } }, "EPRLPN30": { "label": "RL: Pers number of pers in hh that this rec belongs to", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "-1": "Not in Universe" }, "range": [ { "min": "101", "max": "299", "description": "Person number of first person in household" } ] } }, "SSUID": { "label": "SU: Sample Unit Identifier", "predicateType": "string", "group": "N/A", "limit": 0 }, "AJBBTRN1": { "label": "ET: Allocation flag for EJBBTRN1.", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "3": "Logical imputation(derivation)", "0": "Not imputed", "1": "Statistical imputation(hot deck)", "2": "Cold deck" } } }, "ABYEAR": { "label": "PE: Allocation flag for TBYEAR", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "Not imputed", "1": "Statistical imputation (hot deck)", "2": "Cold deck imputation", "3": "Logical imputation (derivation)", "4": "Statistical or logical imputation using previous wave data" } } }, "AREBATE": { "label": "TXR: Allocation flag for EREBATE", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "Not imputed", "3": "Logical imputation (derivation)", "2": "Cold deck imputation", "1": "Statistical imputation (hot deck)" } } }, "EHIRSN11": { "label": "HI: Reason not covered: no longer covered by parents", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "2": "No", "-1": "Not in Universe", "1": "Yes" } } }, "ECLWRK2": { "label": "JB: Class of worker", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "2": "Private not for profit employee", "5": "Federal government worker", "1": "Private for profit employee", "6": "Family worker without pay", "-1": "Not in Universe", "3": "Local government worker", "4": "State government worker" } } }, "EHIRSN10": { "label": "HI: Reason not covered: covered by other health plan", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "-1": "Not in Universe", "2": "No", "1": "Yes" } } }, "T55AMT": { "label": "GI: Amount of incidental or casual earnings", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "None or not in universe" }, "range": [ { "min": "1", "max": "32000", "description": "Amount in dollars" } ] } }, "ER01K": { "label": "GI: Receipt of Social Security - Child (ISS Code 1)", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Yes", "2": "No", "-1": "Not in Universe" } } }, "RTRN1USE": { "label": "ET: Summary var of training used to search/perform job", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "2": "No", "-1": "Not in Universe", "1": "Yes" } } }, "EBTSIT11": { "label": "FH: Before child was born, resp. on other unpaid leave", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "2": "No", "1": "Yes", "-1": "Not in Universe" } } }, "ENOWFPT": { "label": "WD: Work full-time or part-time since limitation began", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "3": "Not able to work", "-1": "Not in Universe", "1": "FULL-TIME", "2": "PART-TIME" } } }, "EBTSIT10": { "label": "FH: Before child was born, was resp. on other paid leave", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "-1": "Not in Universe", "1": "Yes", "2": "No" } } }, "TMLMSUM": { "label": "LF: Amount of income from moonlighting or extra jobs in this month", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "None or not in universe" }, "range": [ { "min": "1", "max": "66666", "description": "Dollars" } ] } }, "AMNLOC": { "label": "WD: Allocation flag for EMNLOC.", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "Not imputed", "1": "Statistical imputation (hot deck)", "2": "Cold deck imputation", "3": "Logical imputation" } } }, "ECLWRK1": { "label": "JB: Class of worker", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "-1": "Not in Universe", "2": "Private not for profit employee", "3": "Local government worker", "5": "Federal government worker", "1": "Private for profit employee", "6": "Family worker without pay", "4": "State government worker" } } }, "EWHIEXP1": { "label": "GI: Which job because of arrangement", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "First job", "2": "Second job", "-1": "Not in Universe" } } }, "SWAVE": { "label": "SU: Wave of data collection", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "range": [ { "min": "1", "max": "13", "description": "Wave of data collection" } ] } }, "ELMTEMP": { "label": "WD: Employed when work limitation began", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "-4": "Person became limited before age 16", "1": "Yes", "2": "No", "-1": "Not in Universe" } } }, "EWHIEXP2": { "label": "GI: Which job worked to received cash assistance", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "2": "Second job", "-1": "Not in Universe", "1": "First job" } } }, "EBTSIT15": { "label": "FH: Other circumstances why respondent stopped working", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "-1": "Not in Universe", "2": "No", "1": "Yes" } } }, "EBTSIT14": { "label": "FH: Respondent's employer went out of business", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "-1": "Not in Universe", "1": "Yes", "2": "No" } } }, "TOARNT": { "label": "AS: Amount of gross rent from own property", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "None or not in universe" }, "range": [ { "min": "1", "max": "32000", "description": "Dollars" } ] } }, "AMCOCOV": { "label": "HI: Allocation flag for EMCOCOV", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "4": "Statistical or logical imputation using previous wave data", "2": "Cold deck imputation", "1": "Statistical imputation (hot deck)", "0": "Not imputed", "3": "Logical imputation (derivation)" } } }, "AVAYN": { "label": "AF: Allocation flag for EVAYN", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "4": "Statistical or logical imputation using previous wave data", "1": "Statistical imputation (hot deck)", "2": "Cold deck imputation", "0": "Not imputed", "3": "Logical imputation (derivation)" } } }, "EBTSIT13": { "label": "FH: Before child was born, was resp. self-employed", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "-1": "Not in Universe", "1": "Yes", "2": "No" } } }, "EBTSIT12": { "label": "FH: Before child was born, resp. never stopped working", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Yes", "2": "No", "-1": "Not in Universe" } } }, "ASTYEAR": { "label": "MH: Allocation flag for TSTYEAR", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Statistical imputation(hot deck)", "3": "Logical imputation(derivation)", "0": "Not imputed", "2": "Cold deck" } } }, "EPRLPN24": { "label": "RL: Pers number of pers in hh that this rec belongs to", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "-1": "Not in Universe" }, "range": [ { "min": "101", "max": "299", "description": "Person number of first person in household" } ] } }, "AMNCOND": { "label": "WD: Allocation flag for EMNCOND.", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Statistical imputation (hot deck)", "0": "Not imputed", "3": "Logical imputation", "2": "Cold deck imputation" } } }, "EPRLPN23": { "label": "RL: Pers number of pers in hh that this rec belongs to", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "-1": "Not in Universe" }, "range": [ { "min": "101", "max": "299", "description": "Person number of first person in household" } ] } }, "EPRLPN26": { "label": "RL: Pers number of pers in hh that this rec belongs to", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "-1": "Not in Universe" }, "range": [ { "min": "101", "max": "299", "description": "Person number of first person in household" } ] } }, "EPRLPN25": { "label": "RL: Pers number of pers in hh that this rec belongs to", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "-1": "Not in Universe" }, "range": [ { "min": "101", "max": "299", "description": "Person number of first person in household" } ] } }, "EPRLPN20": { "label": "RL: Pers number of pers in hh that this rec belongs to", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "-1": "Not in Universe" }, "range": [ { "min": "101", "max": "299", "description": "Person number of first person in household" } ] } }, "EPRLPN22": { "label": "RL: Pers number of pers in hh that this rec belongs to", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "-1": "Not in Universe" }, "range": [ { "min": "101", "max": "299", "description": "Person number of first person in household" } ] } }, "EPRLPN21": { "label": "RL: Pers number of pers in hh that this rec belongs to", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "-1": "Not in Universe" }, "range": [ { "min": "101", "max": "299", "description": "Person number of first person in household" } ] } }, "RCUOWN27": { "label": "PE: Person number of the owner of the food Stamp coverage", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "Not In Universe" }, "range": [ { "min": "101", "max": "1399", "description": "Person number" } ] } }, "APREVTEN": { "label": "MG: Allocation flag for EPREVTEN", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Statistical imputation(hot deck)", "3": "Logical imputation(derivation)", "2": "Cold deck", "0": "Not imputed" } } }, "ESVOAST": { "label": "AS: Ownership of solely held savings account", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "2": "No", "-1": "Not in Universe", "1": "Yes" } } }, "RCUOWN25": { "label": "PE: Person number of the owner of the WIC coverage", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "Not In Universe" }, "range": [ { "min": "101", "max": "1399", "description": "Person number" } ] } }, "AJBIND1": { "label": "JB: Allocation flag for EJBIND1", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "Not imputed", "1": "Statistical imputation(hot deck)", "3": "Logical imputation(derivation)", "4": "Statistical or logical imputation using previous wave data", "2": "Cold deck imputation" } } }, "AJBIND2": { "label": "JB: Allocation flag for EJBIND2", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Statistical imputation(hot deck)", "4": "Statistical or logical imputation using previous wave data", "3": "Logical imputation(derivation)", "2": "Cold deck imputation", "0": "Not imputed" } } }, "RCUOWN23": { "label": "PE: Person number of owner of Foster Child Care coverage", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "Not In Universe" }, "range": [ { "min": "101", "max": "1399", "description": "Person number" } ] } }, "EPRLPN28": { "label": "RL: Pers number of pers in hh that this rec belongs to", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "-1": "Not in Universe" }, "range": [ { "min": "101", "max": "299", "description": "Person number of first person in household" } ] } }, "EPRLPN27": { "label": "RL: Pers number of pers in hh that this rec belongs to", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "-1": "Not in Universe" }, "range": [ { "min": "101", "max": "299", "description": "Person number of first person in household" } ] } }, "RHNSF": { "label": "HH: Number of related subfamilies for this household", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "range": [ { "min": "0", "max": "30", "description": "Number of related subfamilies" } ] } }, "RCUOWN20": { "label": "PE: Person number of owner of public assistance coverage", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "Not In Universe" }, "range": [ { "min": "101", "max": "1399", "description": "Person number" } ] } }, "EPRLPN29": { "label": "RL: Pers number of pers in hh that this rec belongs to", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "-1": "Not in Universe" }, "range": [ { "min": "101", "max": "299", "description": "Person number of first person in household" } ] } }, "ARSNOWRK": { "label": "LF: Allocation flag for ERSNOWRK", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "Not imputed", "2": "Cold deck imputation", "3": "Logical imputation(derivation)", "1": "Statistical imputation(hot deck)", "4": "Statistical or logical imputation using previous wave data" } } }, "RLIFIRSN": { "label": "GI: Reason for payments from paid-up life ins. policy", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "3": "Suvivor", "8": "No payment received", "2": "Retirement", "6": "Retirement and survivor", "-1": "Not in Universe" } } }, "TCOLLSTR": { "label": "ET: In what year did... first attend a college?", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "-1": "Not in Universe" }, "range": [ { "min": "1948", "max": "2009", "description": "Year first attended college, univ, etc." } ] } }, "TPLUMPSM": { "label": "PE: Retirement lump sum payments", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "None or not in universe" }, "range": [ { "min": "1", "max": "441300", "description": "Amount in dollars" } ] } }, "AEGYAMT": { "label": "HH: Allocation flag for EEGYAMT", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "3": "Logical imputation (derivation)", "0": "Not imputed", "4": "Statistical or logical imputation using previous wave data", "1": "Statistical imputation (hot deck)", "2": "Cold deck imputation" } } }, "EDISPREV": { "label": "LF: Had work-preventing physical/mental/health condition", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "-1": "Not in Universe", "1": "Yes", "2": "No" } } }, "EAFBWKFT": { "label": "FH: Respondent usually worked 35 or more hours per week", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "-1": "Not in Universe", "2": "No", "1": "Yes" } } }, "ESFRFPER": { "label": "SF: Person number of the related subfamily ref person", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "-1": "Not in Universe" }, "range": [ { "min": "101", "max": "1399", "description": "Person number of related subfamily reference person" } ] } }, "EPRLPN13": { "label": "RL: Pers number of pers in hh that this rec belongs to", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "-1": "Not in Universe" }, "range": [ { "min": "101", "max": "299", "description": "Person number of first person in household" } ] } }, "EPRLPN12": { "label": "RL: Pers number of pers in hh that this rec belongs to", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "-1": "Not in Universe" }, "range": [ { "min": "101", "max": "299", "description": "Person number of first person in household" } ] } }, "ENOWSAME": { "label": "WD: Ability to do same kind wrk prior to wrk limitation", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Yes, Able to Do Same Kind of Work", "-1": "Not in Universe", "2": "No, Not Able to Do Same Kind of Work", "3": "Did not work before limitation began" } } }, "EPRLPN15": { "label": "RL: Pers number of pers in hh that this rec belongs to", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "-1": "Not in Universe" }, "range": [ { "min": "101", "max": "299", "description": "Person number of first person in household" } ] } }, "EPRLPN14": { "label": "RL: Pers number of pers in hh that this rec belongs to", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "-1": "Not in Universe" }, "range": [ { "min": "101", "max": "299", "description": "Person number of first person in household" } ] } }, "EALCON30": { "label": "WD: Health condition responsible for work limitation", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "-1": "Not in Universe", "1": "Yes", "2": "No" } } }, "EPRLPN11": { "label": "RL: Pers number of pers in hh that this rec belongs to", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "-1": "Not in Universe" }, "range": [ { "min": "101", "max": "299", "description": "Person number of first person in household" } ] } }, "TBSIND2": { "label": "BS: Industry code", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "14": "Public administration", "15": "Active duty military", "-1": "Not in Universe", "7": "Transportation and warehousing, and utilities", "11": "Educational, health care and social assistance", "2": "Mining", "8": "Information", "5": "Wholesale trade", "3": "Construction", "10": "Professional, scientific, management, administrative, and waste management services", "13": "Other services (except public administration)", "6": "Retail Trade", "12": "Arts, entertainment, recreation, accommodation, and food services", "1": "Agriculture, forestry, fishing, and hunting", "4": "Manufacturing", "9": "Finance, insurance, real estate, and rental and leasing" } } }, "EPRLPN10": { "label": "RL: Pers number of pers in hh that this rec belongs to", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "-1": "Not in Universe" }, "range": [ { "min": "101", "max": "299", "description": "Person number of first person in household" } ] } }, "AMS": { "label": "PE: Allocation flag for EMS", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "Not imputed", "1": "Statistical imputation (hot deck)", "2": "Cold deck imputation", "3": "Logical imputation (derivation)", "4": "Statistical or logical imputation using previous wave data" } } }, "TBSIND1": { "label": "BS: Industry code", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "12": "Arts, entertainment, recreation, accommodation, and food services", "4": "Manufacturing", "10": "Professional, scientific, management, administrative, and waste management services", "-1": "Not in Universe", "9": "Finance, insurance, real estate, and rental and leasing", "15": "Active duty military", "5": "Wholesale trade", "6": "Retail Trade", "11": "Educational services, health care and social assistance", "14": "Public administration", "3": "Construction", "7": "Transportation and warehousing, and utilities", "13": "Other services (except public administration)", "1": "Agriculture, forestry, fishing, and hunting", "2": "Mining", "8": "Information" } } }, "ALTYEAR": { "label": "MH: Allocation flag for TLTYEAR", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "Not imputed", "3": "Logical imputation(derivation)", "2": "Cold deck", "1": "Statistical imputation(hot deck)" } } }, "EPRLPN17": { "label": "RL: Pers number of pers in hh that this rec belongs to", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "-1": "Not in Universe" }, "range": [ { "min": "101", "max": "299", "description": "Person number of first person in household" } ] } }, "EPRLPN16": { "label": "RL: Pers number of pers in hh that this rec belongs to", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "-1": "Not in Universe" }, "range": [ { "min": "101", "max": "299", "description": "Person number of first person in household" } ] } }, "EPRLPN19": { "label": "RL: Pers number of pers in hh that this rec belongs to", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "-1": "Not in Universe" }, "range": [ { "min": "101", "max": "299", "description": "Person number of first person in household" } ] } }, "EPRLPN18": { "label": "RL: Pers number of pers in hh that this rec belongs to", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "-1": "Not in Universe" }, "range": [ { "min": "101", "max": "299", "description": "Person number of first person in household" } ] } }, "RGB1R2": { "label": "GI: 2nd reason applying for General Asst the 1st time", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "7": "No change - just heard about the program", "2": "Separation, divorce or widowed", "4": "Loss or reduction of other income", "-1": "Not in Universe", "8": "Needed to re-certify", "9": "Other", "1": "New child (or other dependent) or pregnancy", "5": "Became disabled or otherwise unable to work", "6": "No change - just decided it was time", "3": "Job loss or wages reduced" } } }, "EAFBWKEM": { "label": "FH: Respondent last wrk for same employer while pregnant", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "2": "No", "4": "Employer went out of business", "1": "Yes", "-1": "Not in Universe", "3": "Self-employed" } } }, "ATYP2TR": { "label": "ET: Allocation flag for ETYP2TR1-7.", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "Not imputed", "1": "Statistical imputation(hot deck)", "2": "Cold deck", "3": "Logical imputation(derivation)" } } }, "A35AMT": { "label": "GI: Allocation flag for T35AMT", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "3": "Logical imputation (derivation)", "0": "Not imputed", "4": "Statistical or logical imputation using previous wave data", "1": "Statistical imputation (hot deck)", "2": "Cold deck imputation" } } }, "RGB1R1": { "label": "GI: 1st reason applying for General Asst the 1st time", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "New child (or other dependent) or pregnancy", "3": "Job loss or wages reduced", "5": "Became disabled or otherwise unable to work", "4": "Loss or reduction of other income", "7": "No change - just heard about the program", "8": "Needed to re-certify", "-1": "Not in Universe", "6": "No change - just decided it was time", "9": "Other", "2": "Separation, divorce or widowed" } } }, "TBDOINT": { "label": "AS: Amount of monthly int. from own municipal/corp bonds", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "None or not in universe" }, "range": [ { "min": "1", "max": "11200", "description": "Dollars" } ] } }, "TFVETS": { "label": "FA: Total Family Veterans Payments Recode", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "range": [ { "min": "0", "max": "150000", "description": "Dollar amount" } ] } }, "EWELAC22": { "label": "GI: Attend job search program or job club", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "2": "No", "-1": "Not in Universe", "1": "Yes" } } }, "EPRLPN02": { "label": "RL: Pers number of pers in hh that this rec belongs to", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "-1": "Not in Universe" }, "range": [ { "min": "101", "max": "299", "description": "Person number of first person in household" } ] } }, "EWELAC21": { "label": "GI: Attend job readiness to learn", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "-1": "Not in Universe", "1": "Yes", "2": "No" } } }, "EPRLPN01": { "label": "RL: Pers number of pers in hh that this rec belongs to", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "-1": "Not in Universe" }, "range": [ { "min": "101", "max": "299", "description": "Person number of first person in household" } ] } }, "ESEX": { "label": "PE: Sex of this person", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "2": "Female", "1": "Male" } } }, "EPRLPN04": { "label": "RL: Pers number of pers in hh that this rec belongs to", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "-1": "Not in Universe" }, "range": [ { "min": "101", "max": "299", "description": "Person number of first person in household" } ] } }, "ATRN1USE": { "label": "ET: Allocation flag for RTRN1USE.", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "Not imputed", "1": "Statistical imputation(hot deck)", "3": "Logical imputation(derivation)", "2": "Cold deck" } } }, "EPRLPN03": { "label": "RL: Pers number of pers in hh that this rec belongs to", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "-1": "Not in Universe" }, "range": [ { "min": "101", "max": "299", "description": "Person number of first person in household" } ] } }, "EWELAC23": { "label": "GI: Attend training to learn a specific job skill", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Yes", "2": "No", "-1": "Not in Universe" } } }, "ABMNTH": { "label": "PE: Allocation flag for EBMNTH", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "4": "Statistical or logical imputation using previous wave data", "0": "Not imputed", "1": "Statistical imputation (hot deck)", "3": "Logical imputation (derivation)", "2": "Cold deck imputation" } } }, "RCUOWN04": { "label": "PE: Person number of the owner of the State SSI coverage", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "Not In Universe" }, "range": [ { "min": "101", "max": "1399", "description": "Person number" } ] } }, "EPRLPN09": { "label": "RL: Pers number of pers in hh that this rec belongs to", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "-1": "Not in Universe" }, "range": [ { "min": "101", "max": "299", "description": "Person number of first person in household" } ] } }, "RCUOWN03": { "label": "PE: Person number of the owner of the Federal SSI coverage", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "Not In Universe" }, "range": [ { "min": "101", "max": "1399", "description": "Person number" } ] } }, "AESTARSN": { "label": "GI: Allocation flag for RESTARSN", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "3": "Logical imputation (derivation)", "4": "Statistical or logical imputation using previous wave data", "1": "Statistical imputation (hot deck)", "2": "Cold deck imputation", "0": "Not imputed" } } }, "RCUOWN01": { "label": "PE: Person number of the owner of the SS coverage", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "Not In Universe" }, "range": [ { "min": "101", "max": "1399", "description": "Person number" } ] } }, "EPRLPN06": { "label": "RL: Pers number of pers in hh that this rec belongs to", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "-1": "Not in Universe" }, "range": [ { "min": "101", "max": "299", "description": "Person number of first person in household" } ] } }, "EPRLPN05": { "label": "RL: Pers number of pers in hh that this rec belongs to", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "-1": "Not in Universe" }, "range": [ { "min": "101", "max": "299", "description": "Person number of first person in household" } ] } }, "EPUBHS": { "label": "ET: Was the high school... attended public or private?", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "3": "Did not attend high school", "-1": "Not in Universe", "1": "Public", "2": "Private" } } }, "EPRLPN08": { "label": "RL: Pers number of pers in hh that this rec belongs to", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "-1": "Not in Universe" }, "range": [ { "min": "101", "max": "299", "description": "Person number of first person in household" } ] } }, "EPNDAD": { "label": "PE: Person number of father", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "9999": "No father in household" }, "range": [ { "min": "101", "max": "1399", "description": "Person number" } ] } }, "EPRLPN07": { "label": "RL: Pers number of pers in hh that this rec belongs to", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "-1": "Not in Universe" }, "range": [ { "min": "101", "max": "299", "description": "Person number of first person in household" } ] } }, "TSJDATE2": { "label": "JB: Starting date of job", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "-1": "Not in Universe" }, "range": [ { "min": "19380101", "max": "20121231", "description": "Date" } ] } }, "TSJDATE1": { "label": "JB: Starting date of job", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "-1": "Not in Universe" }, "range": [ { "min": "19380101", "max": "20121231", "description": "Date" } ] } }, "SREFMON": { "label": "SU: Reference month of this record", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "First Reference month", "3": "Third Reference month", "2": "Second Reference month", "4": "Fourth Reference month" } } }, "TCDJTINT": { "label": "AS: Amount of monthly interest from joint CDs", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "None or not in universe" }, "range": [ { "min": "1", "max": "1800", "description": "Dollars" } ] } }, "EFOODTP4": { "label": "GI: food assistance received-other", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Yes", "-1": "Not in Universe", "2": "No" } } }, "EFOODTP3": { "label": "GI: food assistance received-meals from shelter/charity", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "-1": "Not in Universe", "2": "No", "1": "Yes" } } }, "AWRKEXP1": { "label": "GI: Allocation flag for EWRKEXP1", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Statistical imputation (hot deck)", "3": "Logical imputation (derivation)", "0": "No imputation", "2": "Cold deck", "4": "Imputed from the previous wave" } } }, "ESFR": { "label": "PE: Subfamily relationship", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "Not In Universe", "1": "Reference person of a related or unrelated subfamily", "2": "Spouse of reference person of a related or unrelated subfamily", "3": "Child (under 18) of reference person of related or unrelated subfamily" } } }, "TMOWNDIV": { "label": "AS: Amount of check from solely held mutual funds", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "None or not in universe" }, "range": [ { "min": "1", "max": "12000", "description": "Dollars" } ] } }, "AWRKEXP3": { "label": "GI: Allocation flag for EWRKEXP3", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "2": "Cold deck", "1": "Statistical imputation (hot deck)", "4": "Imputed from the previous wave", "0": "No imputation", "3": "Logical imputation (derivation)" } } }, "T23AMT": { "label": "GI: Amount of foster child care payments (ISS Code 23)", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "None or not in universe" }, "range": [ { "min": "1", "max": "99999", "description": "Amount in dollars" } ] } }, "ESFT": { "label": "PE: Family type", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "4": "Primary Individual", "0": "Primary family", "2": "Unrelated subfamily", "1": "Secondary individual (not a family member)", "3": "Related subfamily" } } }, "AWRKEXP2": { "label": "GI: Allocation flag for EWRKEXP2", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "2": "Cold deck", "1": "Statistical imputation (hot deck)", "0": "No imputation", "4": "Imputed from the previous wave", "3": "Logical imputation (derivation)" } } }, "ALCTNTR2": { "label": "ET: Allocation flag for ELCTNTR2.", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Statistical imputation(hot deck)", "2": "Cold deck", "3": "Logical imputation(derivation)", "0": "Not imputed" } } }, "AJBATRN1": { "label": "ET: Allocation flag for EJBATRN1.", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Statistical imputation(hot deck)", "3": "Logical imputation(derivation)", "0": "Not imputed", "2": "Cold deck" } } }, "EFOODTP2": { "label": "GI: food assistance received-bags of groceries", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Yes", "2": "No", "-1": "Not in Universe" } } }, "ALCTNTR1": { "label": "ET: Allocation flag for ELCTNTR1.", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "3": "Logical imputation(derivation)", "0": "Not imputed", "1": "Statistical imputation(hot deck)", "2": "Cold deck" } } }, "EFOODTP1": { "label": "GI: food assistance received-money, vouchers for groceries", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "2": "No", "1": "Yes", "-1": "Not in Universe" } } }, "RPRVHI2": { "label": "HI: Recode for type of health care/insurance (2nd type)", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "3": "Military related (TRICARE,CHAMPUS,CHAMPVA,Military/VA health care)", "-1": "Not in Universe", "1": "Employer or union provided", "4": "OTHER", "2": "Privately purchased" } } }, "ASSSELF": { "label": "GI: Allocation flag for ESSSELF", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "Not imputed", "1": "Statistical imputation (hot deck)", "2": "Cold deck imputation", "3": "Logical imputation (derivation)", "4": "Statistical or logical imputation using previous wave data" } } }, "A23AMT": { "label": "GI: Allocation flag for T23AMT", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "Not imputed", "3": "Logical imputation (derivation)", "1": "Statistical imputation (hot deck)", "2": "Cold deck imputation", "4": "Statistical or logical imputation using previous wave data" } } }, "ETENURE": { "label": "HH: Ownership status of living quarters", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "2": "Rented", "3": "Occupied without payment of cash rent", "1": "Owned or being bought by ... or someone in ...'s household" } } }, "AR08": { "label": "GI: Allocation flag for ER08", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "Not imputed", "3": "Logical imputation (derivation)", "4": "Statistical or logical imputation using previous wave data", "2": "Cold deck imputation", "1": "Statistical imputation (hot deck)" } } }, "AR05": { "label": "GI: Allocation flag for ER05", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "Not imputed", "1": "Statistical imputation (hot deck)", "3": "Logical imputation (derivation)", "2": "Cold deck imputation", "4": "Statistical or logical imputation using previous wave data" } } }, "AR06": { "label": "GI: Allocation flag for ER06", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Statistical imputation (hot deck)", "2": "Cold deck imputation", "3": "Logical imputation (derivation)", "4": "Statistical or logical imputation using previous wave data", "0": "Not imputed" } } }, "ACLWRK1": { "label": "JB: Allocation flag for ECLWRK1", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "4": "Statistical or logical imputation using previous wave data", "1": "Statistical imputation(hot deck)", "0": "Not imputed", "2": "Cold deck imputation", "3": "Logical imputation(derivation)" } } }, "AR04": { "label": "GI: Allocation flag for ER04", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Statistical imputation (hot deck)", "3": "Logical imputation (derivation)", "0": "Not imputed", "2": "Cold deck imputation", "4": "Statistical or logical imputation using previous wave data" } } }, "ANWTRN2": { "label": "ET: Allocation flag for ENWATRN2.", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "Not imputed", "2": "Cold deck", "3": "Logical imputation(derivation)", "1": "Statistical imputation(hot deck)" } } }, "ACLWRK2": { "label": "JB: Allocation flag for ECLWRK2", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Statistical imputation(hot deck)", "0": "Not imputed", "4": "Statistical or logical imputation using previous wave data", "3": "Logical imputation(derivation)", "2": "Cold deck imputation" } } }, "AR02": { "label": "GI: Allocation flag for ER02", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "Not imputed", "2": "Cold deck imputation", "3": "Logical imputation (derivation)", "1": "Statistical imputation (hot deck)", "4": "Statistical or logical imputation using previous wave data" } } }, "TOACLR": { "label": "AS: Amount of net income from own rental property", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "None or not in universe" }, "range": [ { "min": "-10000", "max": "22000", "description": "Dollars" } ] } }, "AJACLR2": { "label": "AS: Allocation flag for TJACLR2", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "3": "Logical imputation (derivation)", "0": "Not imputed", "2": "Cold deck imputation", "6": "Derived from range based values", "1": "Statistical imputation (hot deck)", "4": "Statistical or logical imputation using previous wave data" } } }, "EGRNDPR": { "label": "FH: Is respondent a grandparent", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "2": "No", "1": "Yes", "-1": "Not in Universe" } } }, "RPRVHI": { "label": "HI: Recode for type of health care/insurance (1st type)", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "-1": "Not in Universe", "1": "Employer or union provided", "2": "Privately purchased", "3": "Military related (TRICARE,CHAMPUS,CHAMPVA,Military/VA health care)", "4": "OTHER" } } }, "EPNSPOUS": { "label": "PE: Person number of spouse", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "9999": "Spouse not in household or person not married" }, "range": [ { "min": "101", "max": "1399", "description": "Person number" } ] } }, "AMDJTINT": { "label": "AS: Allocation flag for TMDJTINT", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "2": "Cold deck imputation", "6": "Derived from range based values", "4": "Statistical or logical imputation using previous wave data", "3": "Logical imputation (derivation)", "1": "Statistical imputation (hot deck)", "0": "Not imputed" } } }, "EFNP": { "label": "FA: Number of persons in this family or pseudo family", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "range": [ { "min": "1", "max": "30", "description": "Persons in family or pseudo family" } ] } }, "AWEEKT2": { "label": "ET: Allocation flag for EWEEKT2.", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "3": "Logical imputation(derivation)", "2": "Cold deck", "1": "Statistical imputation(hot deck)", "0": "Not imputed" } } }, "AWEEKT1": { "label": "ET: Allocation flag for EWEEKT1.", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "3": "Logical imputation(derivation)", "2": "Cold deck", "1": "Statistical imputation(hot deck)", "0": "Not imputed" } } }, "SHHADID": { "label": "SU: Hhld Address ID differentiates hhlds in sample unit", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "range": [ { "min": "11", "max": "139", "description": "Household Address ID" } ] } }, "EHTLNYN": { "label": "PE: Receipt of school lunch", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Yes", "2": "No", "-1": "Not in Universe" } } }, "EHPRTB1": { "label": "BS: Other owners/partners in household", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Yes", "2": "No", "-1": "Not in Universe" } } }, "EHPRTB2": { "label": "BS: Other owners/partners in household", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "2": "No", "-1": "Not in Universe", "1": "Yes" } } }, "EJBIND2": { "label": "JB: Industry code", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "4580": "Miscellaneous nondurable goods, merchant wholesalers (4249 except 42491)", "7970": "Offices of physicians (6211)", "8380": "Community food and housing, and emergency services (6242)", "0770": "Construction (23)", "6780": "Other information services (5191 except 51912)", "7990": "Offices of chiropractors (62131)", "1090": "Fruit and vegetable preserving and specialty food manufacturing (3114)", "7070": "Real estate (531)", "4370": "Paper and paper products, merchant wholesalers (4241)", "6675": "Internet publishing and broadcasting (5161)", "6680": "Wired telecommunications carriers (5171)", "1670": "Knitting mills (31324, 3151)", "4970": "Grocery stores (4451)", "9180": "Labor unions (81393)", "2680": "Aluminum production and processing (3313)", "5270": "Sporting goods, camera, and hobby and toy stores (44313, 45111, 45112)", "2570": "Cement, concrete, lime, and gypsum product manufacturing (3273, 3274)", "0270": "Logging (1133)", "6270": "Pipeline transportation (486)", "0290": "Support activities for agriculture and forestry (115)", "8580": "Bowling centers (71395)", "6970": "Securities, commodities, funds, trusts, and other financial investments (523, 525)", "7270": "Legal services (5411)", "1290": "Not specified food industries (Part 311)", "6190": "Taxi and limousine service (4853)", "2270": "Paint, coating, and adhesive manufacturing (3255)", "9390": "Other general government and support (92119)", "5590": "Electronic shopping (454111)", "8990": "Nail salons and other personal care services (812113, 81219)", "8870": "Commercial and industrial machinery and equipment repair and maintenance (8113)", "6695": "Data processing, hosting, and related services (5182)", "8070": "Offices of optometrists (62132)", "5480": "Office supplies and stationery stores (45321)", "0480": "Not specified type of mining (Part 21)", "2780": "Metal forgings and stampings (3321)", "1990": "Printing and related support activities (3231)", "9470": "Justice, public order, and safety activities (922, part 92115)", "2280": "Soap, cleaning compound, and cosmetics manufacturing (3256)", "1080": "Sugar and confectionery products (3113)", "2170": "Resin, synthetic rubber and fibers, and filaments manufacturing (3252)", "3390": "Electronic component and product manufacturing, n.e.c. (3344, 3346)", "5690": "Other direct selling establishments (45439)", "2970": "Ordnance (332992, 332993, 332994, 332995)", "7880": "Business, technical, and trade schools and training (6114, 6115)", "7080": "Automotive equipment rental and leasing (5321)", "2990": "Not specified metal industries (Part 331 and 332)", "8290": "Residential care facilities, without nursing (6232, 6233, 6239)", "7770": "Landscaping services (56173)", "5380": "Department stores and discount stores (45211)", "6470": "Newspaper publishers (51111)", "6590": "Sound recording industries (5122)", "3890": "Furniture and related product manufacturing (337)", "2690": "Nonferrous metal, except aluminum, production and processing (3314)", "6370": "Postal Service (491)", "3670": "Railroad rolling stock manufacturing (3365)", "1370": "Beverage manufacturing (3121)", "4080": "Furniture and home furnishing, merchant wholesalers (4232)", "4890": "Lawn and garden equipment and supplies stores (4442)", "4770": "Furniture and home furnishings stores (442)", "4090": "Lumber and other construction materials, merchant wholesalers (4233)", "5180": "Shoe stores (44821)", "2590": "Miscellaneous nonmetallic mineral product manufacturing (3279)", "6290": "Services incidental to transportation (488)", "7380": "Computer systems design and related services (5415)", "9570": "Administration of economic programs and space research (926, 927)", "1790": "Leather tanning and products, except footwear manufacturing (3161, 3169)", "2090": "Miscellaneous petroleum and coal products (32419)", "6690": "Other telecommunications services (517 except 5171, 5175)", "3990": "Not specified manufacturing industries (Part 31, 32, 33)", "5670": "Vending machine operators (4542)", "4585": "Wholesale electronic markets, agents and brokers (4251)", "4590": "Not specified wholesale trade (Part 42)", "8390": "Vocational rehabilitation services (6243)", "0680": "Sewage treatment facilities (22132)", "5470": "Retail florists (4531)", "5592": "Mail order houses (454113)", "3970": "Toys, amusement, and sporting goods manufacturing (33992, 33993)", "4980": "Specialty food stores (4452)", "4190": "Electrical goods, merchant wholesalers (4236)", "5280": "Sewing, needlework, and piece goods stores (45113)", "7460": "Scientific research and development services (5417)", "8680": "Restaurants and other food services (722 except 7224)", "0170": "Crop production (111)", "8690": "Drinking places, alcoholic beverages (7224)", "0180": "Animal production (112)", "0190": "Forestry except logging (1131,1132)", "8470": "Child day care services (6244)", "3590": "Aerospace products and parts manufacturing (336414, 336415, 336419)", "3360": "Computer and peripheral equipment manufacturing (3341)", "3180": "Engines, turbines, and power transmission equipment manufacturing (3336)", "9160": "Religious organizations (8131)", "4390": "Apparel, fabrics, and notions, merchant wholesalers (4243)", "6880": "Savings institutions, including credit unions (52212, 52213)", "3490": "Electrical lighting, equipment, and supplies manufacturing, n.e.c. (3351, 3353, 3359)", "4470": "Groceries and related products, merchant wholesalers (4244)", "7860": "Elementary and secondary schools (6111)", "7980": "Offices of dentists (6212)", "0670": "Water, steam, air-conditioning, and irrigation systems (22131,22133)", "8270": "Nursing care facilities (6231)", "7180": "Other consumer goods rental (53221, 53222, 53229, 5323)", "9490": "Administration of environmental quality and housing programs (924, 925)", "1890": "Miscellaneous paper and pulp products (32222, 32223, 32229)", "2070": "Petroleum refining (32411)", "0570": "Electric power generation, transmission and distribution (2211)", "2790": "Cutlery and hand tool manufacturing (3322)", "0490": "Support activities for mining (213)", "3770": "Sawmills and wood preservation (3211)", "1470": "Fiber, yarn, and thread mills (3131)", "0380": "Coal mining (2121)", "5390": "Miscellaneous general merchandise stores (4529)", "8780": "Car washes (811192)", "9190": "Business, professional, political, and similar organizations (8139 except 81393)", "3780": "Veneer, plywood, and engineered wood products (3212)", "5290": "Music stores (45114, 45122)", "1490": "Textile and fabric finishing and coating mills (3133)", "9090": "Other personal services (8129)", "2480": "Structural clay product manufacturing (32712)", "7490": "Other professional, scientific, and technical services (5419 except 54194)", "1390": "Tobacco manufacturing (3122)", "4680": "Other motor vehicle dealers (4412)", "2380": "Tire manufacturing (32621)", "6870": "Banking and related activities (521, 52211,52219)", "8180": "Other health care services (6215, 6219)", "2890": "Coating, engraving, heat treating and allied activities (3328)", "8080": "Offices of other health practitioners (6213 except 62131, 62132)", "7170": "Video tape and disk rental (53223)", "1070": "Animal food, grain and oilseed milling (3111, 3112)", "6890": "Non-depository credit and related activities (5222, 5223)", "5680": "Fuel dealers (45431)", "6090": "Water transportation (483)", "3380": "Navigational, measuring, electromedical, and control instruments manufacturing (3345)", "2180": "Agricultural chemical manufacturing (3253)", "4480": "Farm product raw materials, merchant wholesalers (4245)", "7870": "Colleges and universities, including junior colleges (6112, 6113)", "9370": "Executive offices and legislative bodies (92111, 92112, 92114, part 92115)", "8970": "Barber shops (812111)", "9380": "Public finance activities (92113)", "4490": "Petroleum and petroleum products, merchant wholesalers (4247)", "3290": "Not specified machinery manufacturing (Part 333)", "3080": "Construction, mining and oil field machinery manufacturing (33312, 33313)", "0370": "Oil and gas extraction (211)", "2670": "Iron and steel mills and steel product manufacturing (3311, 3312)", "7680": "Investigation and security services (5616)", "8660": "Traveler accommodation (7211)", "9070": "Drycleaning and laundry services (8123)", "1590": "Textile product mills, except carpets and rugs (314 except 31411)", "4180": "Metals and minerals, except petroleum, merchant wholesalers (4235)", "8670": "Recreational vehicle parks and camps, and rooming and boarding houses (7212,7213)", "0280": "Fishing, hunting, and trapping (114)", "5070": "Pharmacies and drug stores (4461)", "7370": "Specialized design services (5414)", "5080": "Health and personal care, except drug, stores (446 except 44611)", "8590": "Other amusement, gambling, and recreation industries (713 except 71395)", "1170": "Dairy product manufacturing (3115)", "6070": "Air transportation (481)", "1190": "Retail bakeries (311811)", "2880": "Machine shops; turned product; screw, nut and bolt manufacturing (3327)", "4380": "Drugs, sundries, and chemical and allied products, merchant wholesalers (4242, 4246)", "2770": "Foundries (3315)", "0590": "Electric and gas, and other combinations (Parts 2211, 2212)", "4270": "Machinery, equipment, and supplies, merchant wholesalers (4238)", "1570": "Carpet and rug mills (31411)", "9170": "Civic, social, advocacy organizations, and grantmaking and giving services (8132,8133, 8", "7790": "Waste management and remediation services (562)", "5370": "Book stores and news dealers (45121)", "2290": "Industrial and miscellaneous chemicals (3251, 3259)", "6770": "Libraries and archives (51912)", "2980": "Miscellaneous fabricated metal products manufacturing (3325, 3326, 3329 except 332992, 3", "6670": "Radio and television broadcasting and cable (5151, 5152, 5175)", "8170": "Home health care services (6216)", "7890": "Other schools, instruction, and educational services (6116, 6117)", "7570": "Management of companies and enterprises (551)", "6480": "Publishing, except newspapers and software (5111 except 51111)", "4990": "Beer, wine, and liquor stores (4453)", "0390": "Metal ore mining (2122)", "4070": "Motor vehicles, parts and supplies, merchant wholesalers (4231)", "7580": "Employment services (5613)", "9080": "Funeral homes, cemeteries, and crematories (8122)", "7590": "Business support services (5614)", "9890": "Persons whose last job was Armed Forces", "5170": "Clothing and accessories, except shoe, stores (448 except 44821, 4483)", "8560": "Independent artists, performing arts, spectator sports, and related industries (711)", "3680": "Ship and boat building (3366)", "7480": "Veterinary services (54194)", "6390": "Warehousing and storage (493)", "3690": "Other transportation equipment manufacturing (3369)", "4780": "Household appliance stores (443111)", "1270": "Bakeries, except retail (3118 exc. 311811)", "6280": "Scenic and sightseeing transportation (487)", "3580": "Aircraft and parts manufacturing (336411, 336412, 336413)", "2490": "Glass and glass product manufacturing (3272)", "6180": "Bus service and urban transit (4851, 4852, 4854, 4855, 4859)", "4690": "Auto parts, accessories, and tire stores (4413)", "4570": "Farm supplies, merchant wholesalers (42491)", "1180": "Animal slaughtering and processing (3116)", "3960": "Medical equipment and supplies manufacturing (3391)", "0470": "Nonmetallic mineral mining and quarrying (2123)", "3190": "Machinery manufacturing, n.e.c. (3332, 3334, 3339)", "8880": "Personal and household goods repair and maintenance (8114 except 81143)", "3870": "Miscellaneous wood products (3219 except 321991, 321992)", "1690": "Apparel accessories and other apparel manufacturing (3159)", "5490": "Used merchandise stores (4533)", "7290": "Architectural, engineering, and related services (5413)", "1880": "Paperboard containers and boxes (32221)", "9480": "Administration of human resource programs (923)", "7190": "Commercial, industrial, and other intangible assets rental and leasing (5324, 533)", "0690": "Not specified utilities (Part 22)", "5591": "Electronic auctions (454112)", "4290": "Miscellaneous durable goods, merchant wholesalers (4239 except 42393)", "4170": "Professional and commercial equipment and supplies, merchant wholesalers (4234)", "3090": "Commercial and service industry machinery manufacturing (3333)", "4870": "Building material and supplies dealers (4441 except 44413)", "8790": "Electronic and precision equipment repair and maintenance (8112)", "4790": "Radio, TV, and computer stores (443112, 44312)", "2370": "Plastics product manufacturing (3261)", "6170": "Truck transportation (484)", "1280": "Seafood and other miscellaneous foods, n.e.c. (3117, 3119)", "4560": "Alcoholic beverages, merchant wholesalers (4248)", "5090": "Gasoline stations (447)", "6990": "Insurance carriers and related activities (524)", "7280": "Accounting, tax preparation, bookkeeping, and payroll services (5412)", "8370": "Individual and family services (6241)", "2390": "Rubber products, except tires, manufacturing (32622, 32629)", "6570": "Motion pictures and video industries (5121)", "1680": "Cut and sew apparel manufacturing (3152)", "7670": "Travel arrangements and reservation services (5615)", "9290": "Private households (814)", "5790": "Not specified retail trade (Part 44, 45)", "9590": "National security and international affairs (928)", "6080": "Rail transportation (482)", "3370": "Communications, audio, and video equipment manufacturing (3342, 3343)", "1870": "Pulp, paper, and paperboard mills (3221)", "5570": "Gift, novelty, and souvenir shops (45322)", "1770": "Footwear manufacturing (3162)", "5580": "Miscellaneous retail stores (4539)", "2190": "Pharmaceutical and medicine manufacturing (3254)", "2870": "Structural metals, and tank and shipping container manufacturing (3323, 3324)", "3170": "Metalworking machinery manufacturing (3335)", "4260": "Hardware, plumbing and heating equipment, and supplies, merchant wholesalers (4237)", "8980": "Beauty salons (812112)", "-1": "Not in Universe", "8770": "Automotive repair and maintenance (8111 except 811192)", "8890": "Footwear and leather goods repair (81143)", "8090": "Outpatient care centers (6214)", "7690": "Services to buildings and dwellings (except cleaning during construction and immediately", "1480": "Fabric mills, except knitting (3132 except 31324)", "6490": "Software publishing (5112)", "3790": "Prefabricated wood buildings and mobile homes (321991, 321992)", "4880": "Hardware stores (44413)", "6380": "Couriers and messengers (492)", "7470": "Advertising and related services (5418)", "2470": "Pottery, ceramics, and related products manufacturing (32711)", "8570": "Museums, art galleries, historical sites, and similar institutions (712)", "5190": "Jewelry, luggage, and leather goods stores (4483)", "3570": "Motor vehicles and motor vehicle equipment manufacturing (3361, 3362, 3363)", "4670": "Automobile dealers (4411)", "7390": "Management, scientific, and technical consulting services (5416)", "3470": "Household appliance manufacturing (3352)", "0580": "Natural gas distribution (2212)", "6692": "Internet service providers (5181)", "7780": "Other administrative and other support services (5611, 5612, 5619)", "3980": "Miscellaneous manufacturing, n.e.c. (3399 except 33992, 33993)", "8190": "Hospitals (622)", "3070": "Agricultural implement manufacturing (33311)", "4280": "Recyclable material, merchant wholesalers (42393)" } } }, "RHCBRF": { "label": "HH: Household cash benefits receipt flag", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "2": "No", "1": "Yes" } } }, "AR14": { "label": "GI: Allocation flag for ER14", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "Not imputed", "1": "Statistical imputation (hot deck)", "4": "Statistical or logical imputation using previous wave data", "2": "Cold deck imputation", "3": "Logical imputation (derivation)" } } }, "AAST3A": { "label": "AS: Allocation flag for EAST3A", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "2": "Cold deck imputation", "1": "Statistical imputation (hot deck)", "3": "Logical imputation (derivation)", "0": "Not imputed", "4": "Statistical or logical imputation using previous wave data" } } }, "TSSOCSEC": { "label": "SF: Total related subfamily Social Security income", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "None or not in universe" }, "range": [ { "min": "1", "max": "150000", "description": "Dollar amount" } ] } }, "AR15": { "label": "GI: Allocation flag for ER15", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "2": "Cold deck imputation", "0": "Not imputed", "1": "Statistical imputation (hot deck)", "4": "Statistical or logical imputation using previous wave data", "3": "Logical imputation (derivation)" } } }, "ACONENRL": { "label": "ET: Allocation flag for ECONENRL.", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "Not imputed", "1": "Statistical imputation(hot deck)", "2": "Cold deck", "3": "Logical imputation(derivation)" } } }, "APREVRES": { "label": "MG: Allocation flag for EPREVRES", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "2": "Cold deck", "0": "Not imputed", "1": "Statistical imputation(hot deck)", "3": "Logical imputation(derivation)" } } }, "AR13": { "label": "GI: Allocation flag for ER13", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "Not imputed", "4": "Statistical or logical imputation using previous wave data", "1": "Statistical imputation (hot deck)", "3": "Logical imputation (derivation)", "2": "Cold deck imputation" } } }, "EPREVRES": { "label": "MG: Where the previous home was", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "4": "Outside U.S.", "2": "Same state, different county, as current home", "-1": "Not in Universe", "-5": "Always lived here", "1": "Same state, same county, as current home", "3": "Different State" } } }, "AR10": { "label": "GI: Allocation flag for ER10", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "2": "Cold deck imputation", "4": "Statistical or logical imputation using previous wave data", "3": "Logical imputation (derivation)", "1": "Statistical imputation (hot deck)", "0": "Not imputed" } } }, "RHNSSR": { "label": "HH: Number of Social Security recipients in household", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "range": [ { "min": "0", "max": "30", "description": "Number of recipients" } ] } }, "AAST3C": { "label": "AS: Allocation flag for EAST3C", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "Not imputed", "4": "Statistical or logical imputation using previous wave data", "3": "Logical imputation (derivation)", "1": "Statistical imputation (hot deck)", "2": "Cold deck imputation" } } }, "AAST3B": { "label": "AS: Allocation flag for EAST3B", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "2": "Cold deck imputation", "1": "Statistical imputation (hot deck)", "3": "Logical imputation (derivation)", "4": "Statistical or logical imputation using previous wave data", "0": "Not imputed" } } }, "RHNBRF": { "label": "HH: Household noncash benefits receipt flag", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Yes", "2": "No" } } }, "AAST3E": { "label": "AS: Allocation flag for EAST3E", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "3": "Logical imputation (derivation)", "1": "Statistical imputation (hot deck)", "4": "Statistical or logical imputation using previous wave data", "0": "Not imputed", "2": "Cold deck imputation" } } }, "EJBIND1": { "label": "JB: Industry code", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "3090": "Commercial and service industry machinery manufacturing (3333)", "4980": "Specialty food stores (4452)", "0380": "Coal mining (2121)", "7570": "Management of companies and enterprises (551)", "3790": "Prefabricated wood buildings and mobile homes (321991, 321992)", "0280": "Fishing, hunting, and trapping (114)", "1370": "Beverage manufacturing (3121)", "7590": "Business support services (5614)", "8560": "Independent artists, performing arts, spectator sports, and related industries (711)", "4090": "Lumber and other construction materials, merchant wholesalers (4233)", "6390": "Warehousing and storage (493)", "6280": "Scenic and sightseeing transportation (487)", "6170": "Truck transportation (484)", "1170": "Dairy product manufacturing (3115)", "1290": "Not specified food industries (Part 311)", "3360": "Computer and peripheral equipment manufacturing (3341)", "4580": "Miscellaneous nondurable goods, merchant wholesalers (4249 except 42491)", "1990": "Printing and related support activities (3231)", "9590": "National security and international affairs (928)", "0770": "Construction (23)", "2290": "Industrial and miscellaneous chemicals (3251, 3259)", "1570": "Carpet and rug mills (31411)", "2780": "Metal forgings and stampings (3321)", "7790": "Waste management and remediation services (562)", "0680": "Sewage treatment facilities (22132)", "1890": "Miscellaneous paper and pulp products (32222, 32223, 32229)", "2880": "Machine shops; turned product; screw, nut and bolt manufacturing (3327)", "3180": "Engines, turbines, and power transmission equipment manufacturing (3336)", "3980": "Miscellaneous manufacturing, n.e.c. (3399 except 33992, 33993)", "0590": "Electric and gas, and other combinations (Parts 2211, 2212)", "8070": "Offices of optometrists (62132)", "4390": "Apparel, fabrics, and notions, merchant wholesalers (4243)", "3080": "Construction, mining and oil field machinery manufacturing (33312, 33313)", "4180": "Metals and minerals, except petroleum, merchant wholesalers (4235)", "4870": "Building material and supplies dealers (4441 except 44413)", "2690": "Nonferrous metal, except aluminum, production and processing (3314)", "6490": "Software publishing (5112)", "5180": "Shoe stores (44821)", "6270": "Pipeline transportation (486)", "7480": "Veterinary services (54194)", "8570": "Museums, art galleries, historical sites, and similar institutions (712)", "5070": "Pharmacies and drug stores (4461)", "7370": "Specialized design services (5414)", "4670": "Automobile dealers (4411)", "5080": "Health and personal care, except drug, stores (446 except 44611)", "7380": "Computer systems design and related services (5415)", "9570": "Administration of economic programs and space research (926, 927)", "4690": "Auto parts, accessories, and tire stores (4413)", "6990": "Insurance carriers and related activities (524)", "4585": "Wholesale electronic markets, agents and brokers (4251)", "6080": "Rail transportation (482)", "7180": "Other consumer goods rental (53221, 53222, 53229, 5323)", "5690": "Other direct selling establishments (45439)", "1090": "Fruit and vegetable preserving and specialty food manufacturing (3114)", "1690": "Apparel accessories and other apparel manufacturing (3159)", "9170": "Civic, social, advocacy organizations, and grantmaking and giving services (8132, 8133,", "2980": "Miscellaneous fabricated metal products manufacturing (3325, 3326, 3329 except 332992, 3", "9490": "Administration of environmental quality and housing programs (924, 925)", "9380": "Public finance activities (92113)", "2990": "Not specified metal industries (Part 331 and 332)", "4490": "Petroleum and petroleum products, merchant wholesalers (4247)", "8180": "Other health care services (6215, 6219)", "9160": "Religious organizations (8131)", "9180": "Labor unions (81393)", "7680": "Investigation and security services (5616)", "9070": "Drycleaning and laundry services (8123)", "6480": "Publishing, except newspapers and software (5111 except 51111)", "4990": "Beer, wine, and liquor stores (4453)", "4190": "Electrical goods, merchant wholesalers (4236)", "3670": "Railroad rolling stock manufacturing (3365)", "4880": "Hardware stores (44413)", "3680": "Ship and boat building (3366)", "0170": "Crop production (111)", "2590": "Miscellaneous nonmetallic mineral product manufacturing (3279)", "2490": "Glass and glass product manufacturing (3272)", "8470": "Child day care services (6244)", "5090": "Gasoline stations (447)", "2380": "Tire manufacturing (32621)", "3590": "Aerospace products and parts manufacturing (336414, 336415, 336419)", "7280": "Accounting, tax preparation, bookkeeping, and payroll services (5412)", "2270": "Paint, coating, and adhesive manufacturing (3255)", "8370": "Individual and family services (6241)", "5670": "Vending machine operators (4542)", "7170": "Video tape and disk rental (53223)", "7290": "Architectural, engineering, and related services (5413)", "3490": "Electrical lighting, equipment, and supplies manufacturing, n.e.c. (3351, 3353, 3359)", "9480": "Administration of human resource programs (923)", "2170": "Resin, synthetic rubber and fibers, and filaments manufacturing (3252)", "5570": "Gift, novelty, and souvenir shops (45322)", "7190": "Commercial, industrial, and other intangible assets rental and leasing (5324, 533)", "0690": "Not specified utilities (Part 22)", "3170": "Metalworking machinery manufacturing (3335)", "3290": "Not specified machinery manufacturing (Part 333)", "2770": "Foundries (3315)", "4270": "Machinery, equipment, and supplies, merchant wholesalers (4238)", "6470": "Newspaper publishers (51111)", "8090": "Outpatient care centers (6214)", "8660": "Traveler accommodation (7211)", "5390": "Miscellaneous general merchandise stores (4529)", "7690": "Services to buildings and dwellings (except cleaning during construction and immediately", "9190": "Business, professional, political, and similar organizations (8139 except 81393)", "3780": "Veneer, plywood, and engineered wood products (3212)", "2570": "Cement, concrete, lime, and gypsum product manufacturing (3273, 3274)", "8790": "Electronic and precision equipment repair and maintenance (8112)", "0270": "Logging (1133)", "8670": "Recreational vehicle parks and camps, and rooming and boarding houses (7212, 7213)", "6380": "Couriers and messengers (492)", "1490": "Textile and fabric finishing and coating mills (3133)", "7470": "Advertising and related services (5418)", "4890": "Lawn and garden equipment and supplies stores (4442)", "5190": "Jewelry, luggage, and leather goods stores (4483)", "1270": "Bakeries, except retail (3118 exc. 311811)", "2480": "Structural clay product manufacturing (32712)", "3580": "Aircraft and parts manufacturing (336411, 336412, 336413)", "0190": "Forestry except logging (1131,1132)", "6870": "Banking and related activities (521, 52211,52219)", "6190": "Taxi and limousine service (4853)", "1190": "Retail bakeries (311811)", "7970": "Offices of physicians (6211)", "7860": "Elementary and secondary schools (6111)", "8270": "Nursing care facilities (6231)", "8080": "Offices of other health practitioners (6213 except 62131, 62132)", "4280": "Recyclable material, merchant wholesalers (42393)", "2070": "Petroleum refining (32411)", "4370": "Paper and paper products, merchant wholesalers (4241)", "6670": "Radio and television broadcasting and cable (5151, 5152, 5175)", "2870": "Structural metals, and tank and shipping container manufacturing (3323, 3324)", "7080": "Automotive equipment rental and leasing (5321)", "8170": "Home health care services (6216)", "5591": "Electronic auctions (454112)", "8870": "Commercial and industrial machinery and equipment repair and maintenance (8113)", "6695": "Data processing, hosting, and related services (5182)", "0370": "Oil and gas extraction (211)", "5380": "Department stores and discount stores (45211)", "0390": "Metal ore mining (2122)", "5280": "Sewing, needlework, and piece goods stores (45113)", "6370": "Postal Service (491)", "5290": "Music stores (45114, 45122)", "9890": "Persons whose last job was Armed Forces", "5170": "Clothing and accessories, except shoe, stores (448 except 44821, 4483)", "4780": "Household appliance stores (443111)", "4560": "Alcoholic beverages, merchant wholesalers (4248)", "6180": "Bus service and urban transit (4851, 4852, 4854, 4855, 4859)", "1180": "Animal slaughtering and processing (3116)", "6880": "Savings institutions, including credit unions (52212, 52213)", "1080": "Sugar and confectionery products (3113)", "6090": "Water transportation (483)", "3990": "Not specified manufacturing industries (Part 31, 32, 33)", "9370": "Executive offices and legislative bodies (92111, 92112, 92114, part 92115)", "7070": "Real estate (531)", "6675": "Internet publishing and broadcasting (5161)", "0570": "Electric power generation, transmission and distribution (2211)", "7770": "Landscaping services (56173)", "5592": "Mail order houses (454113)", "6680": "Wired telecommunications carriers (5171)", "-1": "Not in Universe", "3970": "Toys, amusement, and sporting goods manufacturing (33992, 33993)", "6692": "Internet service providers (5181)", "7780": "Other administrative and other support services (5611, 5612, 5619)", "2890": "Coating, engraving, heat treating and allied activities (3328)", "7670": "Travel arrangements and reservation services (5615)", "8770": "Automotive repair and maintenance (8111 except 811192)", "2670": "Iron and steel mills and steel product manufacturing (3311, 3312)", "2790": "Cutlery and hand tool manufacturing (3322)", "9090": "Other personal services (8129)", "8690": "Drinking places, alcoholic beverages (7224)", "8580": "Bowling centers (71395)", "6970": "Securities, commodities, funds, trusts, and other financial investments (523, 525)", "2370": "Plastics product manufacturing (3261)", "8590": "Other amusement, gambling, and recreation industries (713 except 71395)", "4680": "Other motor vehicle dealers (4412)", "3370": "Communications, audio, and video equipment manufacturing (3342, 3343)", "9470": "Justice, public order, and safety activities (922, part 92115)", "2280": "Soap, cleaning compound, and cosmetics manufacturing (3256)", "6890": "Non-depository credit and related activities (5222, 5223)", "5680": "Fuel dealers (45431)", "6770": "Libraries and archives (51912)", "3390": "Electronic component and product manufacturing, n.e.c. (3344, 3346)", "4480": "Farm product raw materials, merchant wholesalers (4245)", "6780": "Other information services (5191 except 51912)", "7990": "Offices of chiropractors (62131)", "5490": "Used merchandise stores (4533)", "5370": "Book stores and news dealers (45121)", "1770": "Footwear manufacturing (3162)", "5580": "Miscellaneous retail stores (4539)", "2190": "Pharmaceutical and medicine manufacturing (3254)", "1670": "Knitting mills (31324, 3151)", "2090": "Miscellaneous petroleum and coal products (32419)", "8190": "Hospitals (622)", "4970": "Grocery stores (4451)", "0490": "Support activities for mining (213)", "4290": "Miscellaneous durable goods, merchant wholesalers (4239 except 42393)", "8890": "Footwear and leather goods repair (81143)", "6590": "Sound recording industries (5122)", "3770": "Sawmills and wood preservation (3211)", "1470": "Fiber, yarn, and thread mills (3131)", "2680": "Aluminum production and processing (3313)", "1590": "Textile product mills, except carpets and rugs (314 except 31411)", "8780": "Car washes (811192)", "5270": "Sporting goods, camera, and hobby and toy stores (44313, 45111, 45112)", "1480": "Fabric mills, except knitting (3132 except 31324)", "4080": "Furniture and home furnishing, merchant wholesalers (4232)", "8680": "Restaurants and other food services (722 except 7224)", "2470": "Pottery, ceramics, and related products manufacturing (32711)", "3690": "Other transportation equipment manufacturing (3369)", "3570": "Motor vehicles and motor vehicle equipment manufacturing (3361, 3362, 3363)", "7390": "Management, scientific, and technical consulting services (5416)", "7270": "Legal services (5411)", "2390": "Rubber products, except tires, manufacturing (32622, 32629)", "1070": "Animal food, grain and oilseed milling (3111, 3112)", "4590": "Not specified wholesale trade (Part 42)", "0670": "Water, steam, air-conditioning, and irrigation systems (22131,22133)", "3380": "Navigational, measuring, electromedical, and control instruments manufacturing (3345)", "9290": "Private households (814)", "8290": "Residential care facilities, without nursing (6232, 6233, 6239)", "4260": "Hardware, plumbing and heating equipment, and supplies, merchant wholesalers (4237)", "5470": "Retail florists (4531)", "8980": "Beauty salons (812112)", "5590": "Electronic shopping (454111)", "3960": "Medical equipment and supplies manufacturing (3391)", "8990": "Nail salons and other personal care services (812113, 81219)", "5480": "Office supplies and stationery stores (45321)", "3070": "Agricultural implement manufacturing (33311)", "3190": "Machinery manufacturing, n.e.c. (3332, 3334, 3339)", "4170": "Professional and commercial equipment and supplies, merchant wholesalers (4234)", "3890": "Furniture and related product manufacturing (337)", "4070": "Motor vehicles, parts and supplies, merchant wholesalers (4231)", "7460": "Scientific research and development services (5417)", "7580": "Employment services (5613)", "9080": "Funeral homes, cemeteries, and crematories (8122)", "4770": "Furniture and home furnishings stores (442)", "0290": "Support activities for agriculture and forestry (115)", "7490": "Other professional, scientific, and technical services (5419 except 54194)", "1390": "Tobacco manufacturing (3122)", "0180": "Animal production (112)", "4790": "Radio, TV, and computer stores (443112, 44312)", "6290": "Services incidental to transportation (488)", "1280": "Seafood and other miscellaneous foods, n.e.c. (3117, 3119)", "3470": "Household appliance manufacturing (3352)", "4570": "Farm supplies, merchant wholesalers (42491)", "6070": "Air transportation (481)", "5790": "Not specified retail trade (Part 44, 45)", "8380": "Community food and housing, and emergency services (6242)", "4470": "Groceries and related products, merchant wholesalers (4244)", "7980": "Offices of dentists (6212)", "1880": "Paperboard containers and boxes (32221)", "8390": "Vocational rehabilitation services (6243)", "1870": "Pulp, paper, and paperboard mills (3221)", "2180": "Agricultural chemical manufacturing (3253)", "7870": "Colleges and universities, including junior colleges (6112, 6113)", "8880": "Personal and household goods repair and maintenance (8114 except 81143)", "3870": "Miscellaneous wood products (3219 except 321991, 321992)", "0480": "Not specified type of mining (Part 21)", "2970": "Ordnance (332992, 332993, 332994, 332995)", "7880": "Business, technical, and trade schools and training (6114, 6115)", "8970": "Barber shops (812111)", "7890": "Other schools, instruction, and educational services (6116, 6117)", "1790": "Leather tanning and products, except footwear manufacturing (3161, 3169)", "0580": "Natural gas distribution (2212)", "9390": "Other general government and support (92119)", "4380": "Drugs, sundries, and chemical and allied products, merchant wholesalers (4242, 4246)", "6570": "Motion pictures and video industries (5121)", "1680": "Cut and sew apparel manufacturing (3152)", "0470": "Nonmetallic mineral mining and quarrying (2123)", "6690": "Other telecommunications services (517 except 5171, 5175)" } } }, "AAST3D": { "label": "AS: Allocation flag for EAST3D", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "3": "Logical imputation (derivation)", "2": "Cold deck imputation", "0": "Not imputed", "4": "Statistical or logical imputation using previous wave data", "1": "Statistical imputation (hot deck)" } } }, "TSSYEAR": { "label": "MH: Edited year of second separation.", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "-1": "Not in Universe" }, "range": [ { "min": "1965", "max": "2009", "description": "Year of second separation" } ] } }, "ASJDATE2": { "label": "JB: Allocation flag for TSJDATE2", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "3": "Logical imputation(derivation)", "1": "Statistical imputation(hot deck)", "4": "Statistical or logical imputation using previous wave data", "0": "Not imputed", "2": "Cold deck imputation" } } }, "TFEARN": { "label": "FA: Total family earned income for this month", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "range": [ { "min": "-1500000", "max": "1500000", "description": "Dollar amount" } ] } }, "TAFBLVYR": { "label": "FH: Year respondent left employer", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "-1": "Not in Universe" }, "range": [ { "min": "1991", "max": "2009", "description": "Year" } ] } }, "ASJDATE1": { "label": "JB: Allocation flag for TSJDATE1", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Statistical imputation(hot deck)", "4": "Statistical or logical imputation using previous wave data", "3": "Logical imputation(derivation)", "2": "Cold deck imputation", "0": "Not imputed" } } }, "RSCHANGE": { "label": "SF: Change in related subfam composition from previous month", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Change occurred", "2": "No change occurred", "0": "Not In Universe" } } }, "EBKFSYN": { "label": "PE: Receipt of breakfast under Fed School Breakfast Prog.", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "2": "No", "1": "Yes", "-1": "Not in Universe" } } }, "EPAOTHR4": { "label": "GI: Whether ... received clothing assistance", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "-1": "Not in Universe", "1": "Yes", "2": "No" } } }, "EPAOTHR3": { "label": "GI: Whether ... received food assistance", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "2": "No", "1": "Yes", "-1": "Not in Universe" } } }, "EPAOTHR2": { "label": "GI: Whether ... child care services or assistance", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Yes", "2": "No", "-1": "Not in Universe" } } }, "EPAOTHR1": { "label": "GI: Whether ... received transportation assistance", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Yes", "-1": "Not in Universe", "2": "No" } } }, "ECITIZEN": { "label": "PE: US Citizenship Status of Respondent", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Yes", "2": "No" } } }, "TEMPSIZ1": { "label": "JB: Employees at worker's location", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "-1": "Not in Universe", "1": "Under 25 employees", "2": "25 to 99 employees", "3": "100+ employees" } } }, "AR29": { "label": "GI: Allocation flag for ER29", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Statistical imputation (hot deck)", "2": "Cold deck imputation", "4": "Statistical or logical imputation using previous wave data", "0": "Not imputed", "3": "Logical imputation (derivation)" } } }, "TEMPSIZ2": { "label": "JB: Employees at worker's location", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "3": "100+ employees", "1": "Under 25 employees", "2": "25 to 99 employees", "-1": "Not in Universe" } } }, "AR27": { "label": "GI: Allocation flag for ER27", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "2": "Cold deck imputation", "3": "Logical imputation (derivation)", "0": "Not imputed", "1": "Statistical imputation (hot deck)", "4": "Statistical or logical imputation using previous wave data" } } }, "EORIGIN": { "label": "PE: Spanish, Hispanic or Latino", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "2": "No", "1": "Yes" } } }, "ROB1R2": { "label": "GI: 2nd reason applying for Other Welfare the 1st time", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "New child (or other dependent) or pregnancy", "7": "No change - just heard about the program", "9": "Other", "4": "Loss or reduction of other income", "3": "Job loss or wages reduced", "6": "No change - just decided it was time", "8": "Needed to re-certify", "2": "Separation, divorced or widowed", "-1": "Not in Universe", "5": "Became disabled or otherwise unable to work" } } }, "A56AMT": { "label": "GI: Allocation flag for T56AMT", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "3": "Logical imputation (derivation)", "0": "Not imputed", "2": "Cold deck imputation", "4": "Statistical or logical imputation using previous wave data", "1": "Statistical imputation (hot deck)" } } }, "AR28": { "label": "GI: Allocation flag for ER28", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "4": "Statistical or logical imputation using previous wave data", "1": "Statistical imputation (hot deck)", "2": "Cold deck imputation", "3": "Logical imputation (derivation)", "0": "Not imputed" } } }, "ERCVTRN1": { "label": "ET: Recieved training to help search or train for new jb", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "2": "No", "1": "Yes", "-1": "Not in Universe" } } }, "AR25": { "label": "GI: Allocation flag for ER25", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "Not imputed", "4": "Statistical or logical imputation using previous wave data", "1": "Statistical imputation (hot deck)", "3": "Logical imputation (derivation)", "2": "Cold deck imputation" } } }, "ERCVTRN2": { "label": "ET: Received training to improve job skills in past yr.", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "-1": "Not in Universe", "1": "Yes", "2": "No" } } }, "T01AMTA": { "label": "GI: Amount of Social Security - Adult (ISS Code 1)", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "None or not in universe" }, "range": [ { "min": "1", "max": "99999", "description": "Amount in dollars" } ] } }, "AR23": { "label": "GI: Allocation flag for ER23", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "Not imputed", "3": "Logical imputation (derivation)", "4": "Statistical or logical imputation using previous wave data", "2": "Cold deck imputation", "1": "Statistical imputation (hot deck)" } } }, "AR24": { "label": "GI: Allocation flag for ER24", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "3": "Logical imputation (derivation)", "2": "Cold deck imputation", "4": "Statistical or logical imputation using previous wave data", "0": "Not imputed", "1": "Statistical imputation (hot deck)" } } }, "THICVYR": { "label": "HI: In what year was ... last covered by health ins", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "-1": "Not in Universe" }, "range": [ { "min": "1970", "max": "2030", "description": "Year last covered" } ] } }, "AR21": { "label": "GI: Allocation flag for ER21", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "4": "Statistical or logical imputation using previous wave data", "0": "Not imputed", "1": "Statistical imputation (hot deck)", "2": "Cold deck imputation", "3": "Logical imputation (derivation)" } } }, "ROB1R1": { "label": "GI: 1st reason applying for Other Welfare the 1st time", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "5": "Became disabled or otherwise unable to work", "6": "No change - just decided it was time", "1": "New child (or other dependent) or pregnancy", "3": "Job loss or wages reduced", "8": "Needed to re-certify", "9": "Other", "7": "No change - just heard about the program", "2": "Separation, divorced or widowed", "-1": "Not in Universe", "4": "Loss or reduction of other income" } } }, "RNMSTOP": { "label": "FH: Number of mnth before 1st birth when stopped working", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "-1": "Not in Universe" }, "range": [ { "min": "0", "max": "9", "description": "Number of months" } ] } }, "AR20": { "label": "GI: Allocation flag for ER20", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "Not imputed", "2": "Cold deck imputation", "3": "Logical imputation (derivation)", "1": "Statistical imputation (hot deck)", "4": "Statistical or logical imputation using previous wave data" } } }, "EAST4B": { "label": "AS: Royalty income received", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Yes", "-1": "Not in Universe", "2": "No" } } }, "EAST4A": { "label": "AS: Rental property owned", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "-1": "Not in Universe", "1": "Yes", "2": "No" } } }, "THSSI": { "label": "HH: Total Household Supplemental Security Income Recode", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "range": [ { "min": "0", "max": "150000", "description": "Dollar amount" } ] } }, "AAST2B": { "label": "AS: Allocation flag for EAST2B", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "3": "Logical imputation (derivation)", "0": "Not imputed", "2": "Cold deck imputation", "4": "Statistical or logical imputation using previous wave data", "1": "Statistical imputation (hot deck)" } } }, "THPRPINC": { "label": "HH: Total household property income", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "range": [ { "min": "-1500000", "max": "1500000", "description": "Dollar amount" } ] } }, "ADISABL": { "label": "LF: Allocation flag for EDISABL", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "2": "Cold deck imputation", "3": "Logical imputation(derivation)", "1": "Statistical imputation(hot deck)", "0": "Not imputed", "4": "Statistical or logical imputation using previous wave data" } } }, "AAST2A": { "label": "AS: Allocation flag for EAST2A", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "4": "Statistical or logical imputation using previous wave data", "0": "Not imputed", "1": "Statistical imputation (hot deck)", "2": "Cold deck imputation", "3": "Logical imputation (derivation)" } } }, "EAST4C": { "label": "AS: Other financial investments owned", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Yes", "2": "No", "-1": "Not in Universe" } } }, "TJBOCC2": { "label": "JB: Occupational classification code", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1230": "Statisticians (15-2041)", "3400": "Emergency medical technicians and paramedics (29-2041)", "4610": "Personal and home care aides (39-9021)", "1360": "Civil engineers (17-2051)", "3410": "Health diagnosing and treating practitioner support technicians (29-2050)", "3300": "Clinical laboratory technologists and technicians (29-2010)", "4530": "Baggage porters, bellhops, and concierges (39-6010)", "6700": "Elevator installers and repairers (47-4021)", "6820": "Earth drillers, except oil and gas (47-5021)", "6740": "Rail-track laying and maintenance equipment operators (47-4061)", "6500": "Reinforcing iron and rebar workers (47-2171)", "7830": "Food and tobacco roasting, baking, and drying machine operators and tenders (51-3091)", "2140": "Paralegals and legal assistants (23-2011)", "8930": "Paper goods machine setters, operators, and tenders (51-9196)", "6760": "Miscellaneous construction and related workers (47-4090)", "3010": "Dentists (29-1020)", "2040": "Clergy (21-2011)", "3250": "Veterinarians (29-1131)", "8710": "Cutting workers (51-9030)", "8830": "Photographic process workers and processing machine operators (51-9130)", "3260": "Health diagnosing and treating practitioners, all other (29-1199)", "6300": "Paving, surfacing, and tamping equipment operators (47-2071)", "7520": "Commercial divers (49-9092)", "4140": "Dishwashers (35-9021)", "5230": "Credit authorizers, checkers, and clerks (43-4041)", "4030": "Food preparation workers (35-2021)", "5240": "Customer service representatives (43-4051)", "7540": "Locksmiths and safe repairers (49-9094)", "7300": "Control and valve installers and repairers (49-9010)", "5250": "Eligibility interviewers, government programs (43-4061)", "6460": "Plasterers and stucco masons (47-2161)", "9610": "Cleaners of vehicles and equipment (53-7061)", "9740": "Tank car, truck, and ship loaders (53-7121)", "5020": "Telephone operators (43-2021)", "8410": "Textile knitting and weaving machine setters, operators, and tenders (51-6063)", "9500": "Conveyor operators and tenders (53-7011)", "4050": "Combined food preparation and serving workers, including fast food (35-3021)", "9410": "Transportation inspectors (53-6051)", "8440": "Fabric and apparel patternmakers (51-6092)", "7350": "Maintenance workers, machinery (49-9043)", "1800": "Economists (19-3011)", "0830": "Credit analysts (13-2041)", "8450": "Upholsterers (51-6093)", "2900": "Broadcast and sound engineering technicians and radio operators (27-4010)", "0720": "Meeting and convention planners (13-1121)", "8340": "Shoe machine operators and tenders (51-6042)", "8230": "Bookbinders and bindery workers (51-5010)", "8360": "Textile bleaching and dyeing machine operators and tenders (51-6061)", "1840": "Urban and regional planners (19-3051)", "3900": "Animal control workers (33-9011)", "8130": "Tool and die makers (51-4111)", "9340": "Bridge and lock tenders (53-6011)", "7160": "Automotive glass installers and repairers (49-3022)", "2820": "Public relations specialists (27-3031)", "9350": "Parking lot attendants (53-6021)", "2840": "Technical writers (27-3042)", "4900": "Models, demonstrators, and product promoters (41-9010)", "9130": "Driver/sales workers and truck drivers (53-3030)", "1520": "Petroleum engineers (17-2171)", "9140": "Taxi drivers and chauffeurs (53-3041)", "1530": "Engineers, all other (17-2199)", "2740": "Dancers and choreographers (27-2030)", "0320": "Funeral directors (11-9061)", "0340": "Lodging managers (11-9081)", "9030": "Aircraft pilots and flight engineers (53-2010)", "1540": "Drafters (17-3010)", "3860": "Transit and railroad police (33-3052)", "0230": "Education administrators (11-9030)", "9040": "Air traffic controllers and airfield operations specialists (53-2020)", "3730": "Supervisors, protective service workers, all other (33-1099)", "4940": "Telemarketers (41-9041)", "4820": "Securities, commodities, and financial services sales agents (41-3031)", "4850": "Sales representatives, wholesale and manufacturing (41-4010)", "2430": "Librarians (25-4021)", "0140": "Industrial production managers(11-3051)", "1100": "Network and computer systems administrators (15-1071)", "4500": "Barbers (39-5011)", "6800": "Derrick, rotary drill, and service unit operators, oil, gas, and mining (47-5010)", "4640": "Residential advisors (39-9041)", "4650": "Personal care and service workers, all other (39-9099)", "4410": "Motion picture projectionists (39-3021)", "3210": "Recreational therapists (29-1125)", "5500": "Cargo and freight agents (43-5011)", "7800": "Bakers (51-3011)", "6710": "Fence erectors (47-4031)", "7940": "Rolling machine setters, operators, and tenders, metal and plastic (51-4023)", "6600": "Helpers, construction trades (47-3010)", "7810": "Butchers and other meat, poultry, and fish processing workers (51-3020)", "7720": "Electrical, electronics, and electromechanical assemblers (51-2020)", "1060": "Database administrators (15-1061)", "5310": "Interviewers, except eligibility and loan (43-4111)", "8940": "Tire builders (51-9197)", "4230": "Maids and housekeeping cleaners (37-2012)", "6530": "Structural iron and steel workers (47-2221)", "3140": "Audiologists (29-1121)", "6660": "Construction and building inspectors (47-4011)", "7510": "Coin, vending, and amusement machine servicers and repairers (49-9091)", "8600": "Power plant operators, distributors, and dispatchers (51-8010)", "6420": "Painters, construction and maintenance (47-2141)", "8840": "Semiconductor processors (51-9141)", "6310": "Pile-driver operators (47-2072)", "8610": "Stationary engineers and boiler operators (51-8021)", "3040": "Optometrists (29-1041)", "8750": "Jewelers and precious stone and metal workers (51-9071)", "5130": "Gaming cage workers (43-3041)", "5010": "Switchboard operators, including answering service (43-2011)", "6100": "Fishers and related fishing workers (45-3011)", "6230": "Carpenters (47-2031)", "7560": "Riggers (49-9096)", "6240": "Carpet, floor, and tile installers and finishers (47-2040)", "8540": "Woodworking machine setters, operators, and tenders, except sawing (51-7042)", "0810": "Appraisers and assessors of real estate (13-2021)", "8310": "Pressers, textile, garment, and related materials (51-6021)", "0700": "Logisticians (13-1081)", "0940": "Tax preparers (13-2082)", "1920": "Chemical technicians (19-4031)", "7120": "Electronic home entertainment equipment installers and repairers (49-2097)", "8330": "Shoe and leather workers and repairers (51-6041)", "8210": "Tool grinders, filers, and sharpeners (51-4194)", "1810": "Market and survey researchers (19-3020)", "9310": "Ship and boat captains and operators (53-5020)", "8460": "Textile, apparel, and furnishings workers, all other (51-6099)", "0730": "Other business operations specialists (13-11XX)", "1940": "Nuclear technicians (19-4051)", "8350": "Tailors, dressmakers, and sewers (51-6050)", "7140": "Aircraft mechanics and service technicians (49-3011)", "0620": "Human resources, training, and labor relations specialists (13-1070)", "1710": "Atmospheric and space scientists (19-2021)", "0500": "Agents and business managers of artists, performers, and athletes (13-1011)", "8250": "Prepress technicians and workers (51-5022)", "0520": "Wholesale and retail buyers, except farm products (13-1022)", "0530": "Purchasing agents, except wholesale, retail, and farm products (13-1023)", "1400": "Computer hardware engineers (17-2061)", "1640": "Conservation scientists and foresters (19-1030)", "4800": "Advertising sales agents (41-3011)", "1450": "Materials engineers (17-2131)", "3740": "Fire fighters (33-2011)", "1220": "Operations research analysts (15-2031)", "0010": "Chief executives (11-1011)", "2550": "Other education, training, and library workers (25-90XX)", "1460": "Mechanical engineers (17-2141)", "5810": "Data entry keyers (43-9021)", "1350": "Chemical engineers (17-2041)", "6910": "Roof bolters, mining (47-5061)", "0150": "Purchasing managers (11-3061)", "4760": "Retail salespersons (41-2031)", "6930": "Helpers--extraction workers (47-5081)", "5860": "Office clerks, general (43-9061)", "5620": "Stock clerks and order fillers (43-5081)", "4400": "Gaming services workers (39-3010)", "4540": "Tour and travel guides (39-6020)", "4420": "Ushers, lobby attendants, and ticket takers (39-3031)", "0060": "Public relations managers (11-2031)", "4430": "Miscellaneous entertainment attendants and related workers (39-3090)", "5520": "Dispatchers (43-5030)", "5400": "Receptionists and information clerks (43-4171)", "1040": "Computer support specialists (15-1041)", "8900": "Cooling and freezing equipment operators and tenders (51-9193)", "7700": "First-line supervisors/managers of production and operating workers (51-1011)", "6510": "Roofers (47-2181)", "4340": "Animal trainers (39-2011)", "6400": "Insulation workers (47-2130)", "7610": "Helpers--installation, maintenance, and repair workers (49-9098)", "4350": "Nonfarm animal caretakers (39-2021)", "7620": "Other installation, maintenance, and repair workers (49-909X)", "8960": "Production workers, all other (51-9199)", "7750": "Miscellaneous assemblers and fabricators (51-2090)", "4000": "Chefs and head cooks (35-1011)", "4130": "Dining room and cafeteria attendants and bartender helpers (35-9011)", "5340": "New accounts clerks (43-4141)", "3160": "Physical therapists (29-1123)", "3060": "Physicians and surgeons (29-1060)", "6330": "Drywall installers, ceiling tile installers, and tapers (47-2080)", "4040": "Bartenders (35-3011)", "7550": "Manufactured building and mobile home installers (49-9095)", "8640": "Chemical processing machine setters, operators, and tenders (51-9010)", "4160": "Food preparation and serving related workers, all other (35-9099)", "5030": "Communications equipment operators, all other (43-2099)", "8420": "Textile winding, twisting, and drawing out machine setters, operators, and tenders (51-6", "7210": "Bus and truck mechanics and diesel engine specialists (49-3031)", "7220": "Heavy vehicle and mobile equipment service technicians and mechanics (49-3040)", "0820": "Budget analysts (13-2031)", "8320": "Sewing machine operators (51-6031)", "7240": "Small engine mechanics (49-3050)", "7360": "Millwrights (49-9044)", "0850": "Personal financial advisors (13-2052)", "1830": "Sociologists (19-3041)", "0860": "Insurance underwriters (13-2053)", "3910": "Private detectives and investigators (33-9021)", "8260": "Printing machine operators (51-5023)", "8140": "Welding, soldering, and brazing workers (51-4120)", "2830": "Editors (27-3041)", "0560": "Compliance officers, except agriculture, construction, health and safety, and transporta", "4920": "Real estate brokers and sales agents (41-9020)", "2760": "Entertainers and performers, sports and related workers, all other (27-2099)", "2630": "Designers (27-1020)", "1430": "Industrial engineers, including health and safety (17-2110)", "0110": "Computer and information systems managers (11-3021)", "1320": "Aerospace engineers (17-2011)", "1210": "Mathematicians (15-2021)", "5930": "Office and administrative support workers, all other (43-9199)", "4740": "Counter and rental clerks (41-2021)", "3530": "Miscellaneous health technologists and technicians (29-2090)", "2440": "Library technicians (25-4031)", "2310": "Elementary and middle school teachers (25-2020)", "1240": "Miscellaneous mathematical science occupations (15-2090)", "5830": "Desktop publishers (43-9031)", "0040": "Advertising and promotions managers (11-2011)", "0160": "Transportation, storage, and distribution managers (11-3071)", "6830": "Explosives workers, ordnance handling experts, and blasters (47-5031)", "1020": "Computer software engineers (15-1030)", "3220": "Respiratory therapists (29-1126)", "5530": "Meter readers, utilities (43-5041)", "8910": "Etchers and engravers (51-9194)", "7840": "Food batchmakers (51-3092)", "6750": "Septic tank servicers and sewer pipe cleaners (47-4071)", "8810": "Painting workers (51-9120)", "8800": "Packaging and filling machine operators and tenders (51-9111)", "5330": "Loan interviewers and clerks (43-4131)", "2060": "Religious workers, all other (21-2099)", "5350": "Order clerks (43-4151)", "4150": "Hosts and hostesses, restaurant, lounge, and coffee shop (35-9031)", "5360": "Human resources assistants, except payroll and timekeeping (43-4161)", "6210": "Boilermakers (47-2011)", "9600": "Industrial truck and tractor operators (53-7051)", "0900": "Financial examiners (13-2061)", "6220": "Brickmasons, blockmasons, and stonemasons (47-2020)", "6350": "Electricians (47-2111)", "9620": "Laborers and freight, stock, and material movers, hand (53-7062)", "9510": "Crane and tower operators (53-7021)", "4060": "Counter attendants, cafeteria, food concession, and coffee shop (35-3022)", "0930": "Tax examiners, collectors, and revenue agents (13-2081)", "9520": "Dredge, excavating, and loading machine operators (53-7030)", "6130": "Logging workers (45-4020)", "8550": "Woodworkers, all other (51-7099)", "8200": "Plating and coating machine setters, operators, and tenders, metal and plastic (51-4193)", "9300": "Sailors and marine oilers (53-5011)", "0600": "Cost estimators (13-1051)", "0840": "Financial analysts (13-2051)", "7130": "Security and fire alarm systems installers (49-2098)", "2910": "Photographers (27-4021)", "8000": "Grinding, lapping, polishing, and buffing machine tool setters, operators, and tenders,", "8240": "Job printers (51-5021)", "0510": "Purchasing agents and buyers, farm products (13-1021)", "1960": "Other life, physical, and social science technicians (19-40XX)", "7040": "Electric motor, power tool, and related repairers (49-2092)", "1610": "Biological scientists (19-1020)", "3920": "Security guards and gaming surveillance officers (33-9030)", "9360": "Service station attendants (53-6031)", "2600": "Artists and related workers (27-1010)", "0540": "Claims adjusters, appraisers, examiners, and investigators (13-1030)", "9260": "Subway, streetcar, and other rail transportation workers (53-40XX)", "3830": "Fish and game wardens (33-3031)", "3710": "First-line supervisors/managers of police and detectives (33-1012)", "1550": "Engineering technicians, except drafters (17-3020)", "1560": "Surveying and mapping technicians (17-3031)", "3610": "Occupational therapist assistants and aides (31-2010)", "1310": "Surveyors, cartographers, and photogrammetrists (17-1020)", "5910": "Proofreaders and copy markers (43-9081)", "3500": "Licensed practical and licensed vocational nurses (29-2061)", "4830": "Travel agents (41-3041)", "5920": "Statistical assistants (43-9111)", "5800": "Computer operators (43-9011)", "0130": "Human resources managers (11-3040)", "3510": "Medical records and health information technicians (29-2071)", "3630": "Massage therapists (31-9011)", "4840": "Sales representatives, services, all other (41-3099)", "3650": "Medical assistants and other healthcare support occupations (31-909X)", "3540": "Other healthcare practitioners and technical occupations (29-9000)", "4520": "Miscellaneous personal appearance workers (39-5090)", "5600": "Production, planning, and expediting clerks (43-5061)", "2000": "Counselors (21-1010)", "4550": "Transportation attendants (39-6030)", "8920": "Molders, shapers, and casters, except metal and plastic (51-9195)", "3110": "Physician assistants (29-1071)", "5420": "Information and record clerks, all other (43-4199)", "7960": "Drilling and boring machine tool setters, operators, and tenders, metal and plastic (51-", "4460": "Funeral service workers (39-4000)", "4110": "Waiters and waitresses (35-3031)", "4240": "Pest control workers (37-2021)", "4120": "Food servers, nonrestaurant (35-3041)", "8720": "Extruding, forming, pressing, and compacting machine setters, operators, and tenders (51", "3030": "Dietitians and nutritionists (29-1031)", "3150": "Occupational therapists (29-1122)", "8730": "Furnace, kiln, oven, drier, and kettle operators and tenders (51-9051)", "8860": "Cleaning, washing, and metal pickling equipment operators and tenders (51-9192)", "6320": "Operating engineers and other construction equipment operators (47-2073)", "5110": "Billing and posting clerks and machine operators (43-3021)", "6200": "First-line supervisors/managers of construction trades and extraction workers (47-1011)", "7410": "Electrical power-line installers and repairers (49-9051)", "8620": "Water and liquid waste treatment plant and system operators (51-8031)", "9720": "Refuse and recyclable material collectors (53-7081)", "7430": "Precision instrument and equipment repairers (49-9060)", "8760": "Medical, dental, and ophthalmic laboratory technicians (51-9080)", "8530": "Sawing machine setters, operators, and tenders, wood (51-7041)", "9750": "Material moving workers, all other (53-7199)", "5150": "Procurement clerks (43-3061)", "7340": "Maintenance and repair workers, general (49-9042)", "7100": "Electrical and electronics repairers, industrial and utility (49-209X)", "9640": "Packers and packagers, hand (53-7064)", "7110": "Electronic equipment installers and repairers, motor vehicles (49-2096)", "6020": "Animal breeders (45-2021)", "9650": "Pumping station operators (53-7070)", "0710": "Management analysts (13-1111)", "6040": "Graders and sorters, agricultural products (45-2041)", "7260": "Miscellaneous vehicle and mobile equipment mechanics, installers, and repairers (49-3090", "7020": "Radio and telecommunications equipment installers and repairers (49-2020)", "9330": "Ship engineers (53-5031)", "1720": "Chemists and materials scientists (19-2030)", "2700": "Actors (27-2011)", "9230": "Railroad brake, signal, and switch operators (53-4021)", "9120": "Bus drivers (53-3020)", "2960": "Media and communication equipment workers, all other (27-4099)", "2850": "Writers and authors (27-3043)", "1410": "Electrical and electronic engineers (17-2070)", "0330": "Gaming managers (11-9071)", "1420": "Environmental engineers (17-2081)", "3720": "First-line supervisors/managers of fire fighting and prevention workers (33-1021)", "4930": "Sales engineers (41-9031)", "1440": "Marine engineers and naval architects (17-2121)", "0100": "Administrative services managers (11-3011)", "3750": "Fire inspectors (33-2020)", "4960": "Sales and related workers, all other (41-9099)", "1330": "Agricultural engineers (17-2021)", "0360": "Natural sciences managers (11-9121)", "1340": "Biomedical engineers (17-2031)", "0020": "General and operations managers (11-1021)", "5700": "Secretaries and administrative assistants (43-6010)", "1000": "Computer scientists and systems analysts (15-10XX)", "2200": "Postsecondary teachers (25-1000)", "3310": "Dental hygienists (29-2021)", "4510": "Hairdressers, hairstylists, and cosmetologists (39-5012)", "7900": "Computer control programmers and operators (51-4010)", "3200": "Radiation therapists (29-1124)", "0050": "Marketing and sales managers (11-2020)", "5630": "Weighers, measurers, checkers, and samplers, recordkeeping (43-5111)", "6720": "Hazardous materials removal workers (47-4041)", "4300": "First-line supervisors/managers of gaming workers (39-1010)", "5510": "Couriers and messengers (43-5021)", "4320": "First-line supervisors/managers of personal service workers (39-1021)", "4200": "First-line supervisors/managers of housekeeping and janitorial workers (37-1011)", "5410": "Reservation and transportation ticket agents and travel clerks (43-4181)", "4210": "First-line supervisors/managers of landscaping, lawn service, and groundskeeping workers", "5300": "Hotel, motel, and resort desk clerks (43-4081)", "2150": "Miscellaneous legal support workers (23-2090)", "4220": "Janitors and building cleaners (37-201X)", "7730": "Engine and other machine assemblers (51-2031)", "7850": "Food cooking machine operators and tenders (51-3093)", "5560": "Postal service mail sorters, processors, and processing machine operators (43-5053)", "5320": "Library assistants, clerical (43-4121)", "5200": "Brokerage clerks (43-4011)", "2050": "Directors, religious activities and education (21-2021)", "5210": "Correspondence clerks (43-4021)", "6430": "Paperhangers (47-2142)", "5220": "Court, municipal, and license clerks (43-4031)", "8740": "Inspectors, testers, sorters, samplers, and weighers (51-9061)", "8500": "Cabinetmakers and bench carpenters (51-7011)", "8630": "Miscellaneous plant and system operators (51-8090)", "7420": "Telecommunications line installers and repairers (49-9052)", "8520": "Model makers and patternmakers, wood (51-7030)", "8400": "Textile cutting machine setters, operators, and tenders (51-6062)", "0910": "Loan counselors and officers (13-2070)", "5140": "Payroll and timekeeping clerks (43-3051)", "7200": "Automotive service technicians and mechanics (49-3023)", "8650": "Crushing, grinding, polishing, mixing, and blending workers (51-9020)", "5260": "File Clerks (43-4071)", "0800": "Accountants and auditors (13-2011)", "6120": "Forest and conservation workers (45-4011)", "9630": "Machine feeders and offbearers (53-7063)", "6360": "Glaziers (47-2121)", "1900": "Agricultural and food science technicians (19-4011)", "6010": "Agricultural inspectors (45-2011)", "0950": "Financial specialists, all other (13-2099)", "9420": "Other transportation workers (53-60XX)", "1820": "Psychologists (19-3030)", "9560": "Hoist and winch operators (53-7041)", "1600": "Agricultural and food scientists (19-1010)", "8020": "Milling and planing machine setters, operators, and tenders, metal and plastic (51-4035)", "1500": "Mining and geological engineers, including mining safety engineers (17-2151)", "3800": "Bailiffs, correctional officers, and jailers (33-3010)", "9240": "Railroad conductors and yardmasters (53-4031)", "0430": "Managers, all other (11-9199)", "3820": "Detectives and criminal investigators (33-3021)", "3700": "First-line supervisors/managers of correctional officers (33-1011)", "3950": "Lifeguards and other protective service workers (33-909X)", "9150": "Motor vehicle operators, all other (53-3099)", "1300": "Architects, except naval (17-1010)", "0210": "Farmers and ranchers (11-9012)", "0350": "Medical and health services managers (11-9111)", "0220": "Construction managers (11-9021)", "3850": "Police and sheriff's patrol officers(33-3051)", "4700": "First-line supervisors/managers of retail sales workers (41-1011)", "3640": "Dental assistants (31-9091)", "2300": "Preschool and kindergarten teachers (25-2010)", "4600": "Child care workers (39-9011)", "1110": "Network systems and data communications analysts (15-1081)", "3520": "Opticians, dispensing (29-2081)", "5840": "Insurance claims and policy processing clerks (43-9041)", "4620": "Recreation and fitness workers (39-9030)", "6920": "Roustabouts, oil and gas (47-5071)", "5850": "Mail clerks and mail machine operators, except postal service (43-9051)", "6940": "Other extraction workers (47-50XX)", "2100": "Lawyers (23-1011)", "1010": "Computer programmers (15-1021)", "2340": "Other teachers and instructors (25-3000)", "7930": "Forging machine setters, operators, and tenders, metal and plastic (51-4022)", "7920": "Extruding and drawing machine setters, operators, and tenders, metal and plastic (51-402", "6730": "Highway maintenance workers (47-4051)", "7950": "Cutting, punching, and press machine setters, operators, and tenders, metal and plastic", "7710": "Aircraft structure, surfaces, rigging, and systems assemblers (51-2011)", "3230": "Speech-language pathologists (29-1127)", "5540": "Postal service clerks (43-5051)", "3000": "Chiropractors (29-1011)", "3120": "Podiatrists (29-1081)", "3130": "Registered nurses (29-1111)", "7740": "Structural metal fabricators and fitters (51-2041)", "8850": "Cementing and gluing machine operators and tenders (51-9191)", "5100": "Bill and account collectors (43-3011)", "4020": "Cooks (35-2010)", "6440": "Pipelayers, plumbers, pipefitters, and steamfitters (47-2150)", "-1": "Not in Universe", "5120": "Bookkeeping, accounting, and auditing clerks (43-3031)", "5000": "First-line supervisors/managers of office and administrative support workers (43-1011)", "8510": "Furniture finishers (51-7021)", "7320": "Home appliance repairers (49-9031)", "7330": "Industrial and refractory machinery mechanics (49-904X)", "8300": "Laundry and dry-cleaning workers (51-6011)", "6000": "First-line supervisors/managers of farming, fishing, and forestry workers (45-1010)", "8430": "Extruding and forming machine setters, operators, and tenders, synthetic and glass fiber", "1910": "Biological technicians (19-4021)", "7000": "First-line supervisors/managers of mechanics, installers, and repairers (49-1011)", "8220": "Metalworkers and plastic workers, all other (51-4199)", "8100": "Molders and molding machine setters, operators, and tenders, metal and plastic (51-4070)", "9200": "Locomotive engineers and operators (53-4010)", "6050": "Miscellaneous agricultural workers (45-2090)", "2920": "Television, video, and motion picture camera operators and editors (27-4030)", "8120": "Multiple machine tool setters, operators, and tenders, metal and plastic (51-4081)", "7030": "Avionics technicians (49-2091)", "2810": "News analysts, reporters and correspondents (27-3020)", "8010": "Lathe and turning machine tool setters, operators, and tenders, metal and plastic (51-40", "1860": "Miscellaneous social scientists and related workers (19-3090)", "8030": "Machinists (51-4041)", "0420": "Social and community service managers (11-9151)", "1510": "Nuclear engineers (17-2161)", "0300": "Engineering managers (11-9041)", "0310": "Food service managers (11-9051)", "1760": "Physical scientists, all other (19-2099)", "0200": "Farm, ranch, and other agricultural managers (11-9011)", "1650": "Medical scientists (19-1040)", "2860": "Miscellaneous media and communication workers (27-3090)", "4810": "Insurance sales agents (41-3021)", "2540": "Teacher assistants (25-9041)", "1200": "Actuaries (15-2011)", "4720": "Cashiers (41-2010)", "2320": "Secondary school teachers (25-2030)", "5820": "Word processors and typists (43-9022)", "4750": "Parts salespersons (41-2022)", "2330": "Special education teachers (25-2040)", "3320": "Diagnostic related technologists and technicians (29-2030)", "5610": "Shipping, receiving, and traffic clerks (43-5071)", "6840": "Mining machine operators (47-5040)", "2010": "Social workers (21-1020)", "2020": "Miscellaneous community and social service specialists (21-1090)", "7600": "Signal and track switch repairers (49-9097)", "3240": "Therapists, all other (29-1129)", "5550": "Postal service mail carriers (43-5052)", "6520": "Sheet metal workers (47-2211)", "8950": "Helpers--production workers (51-9198)", "4250": "Grounds maintenance workers (37-3010)", "4010": "First-line supervisors/managers of food preparation and serving workers (35-1012)", "3050": "Pharmacists (29-1051)", "9840": "Persons whose current labor force status is unemployed and last job was Armed Forces", "9730": "Shuttle car operators (53-7111)", "7310": "Heating, air conditioning, and refrigeration mechanics and installers (49-9021)", "6110": "Hunters and trappers (45-3021)", "5160": "Tellers (43-3071)", "6250": "Cement masons, concrete finishers, and terrazzo workers (47-2050)", "6260": "Construction laborers (47-2061)", "1930": "Geological and petroleum technicians (19-4041)", "7010": "Computer, automated teller, and office machine repairers (49-2011)", "1700": "Astronomers and physicists (19-2010)", "2800": "Announcers (27-3010)", "7150": "Automotive body and related repairers (49-3021)", "7050": "Electrical and electronics installers and repairers, transportation equipment (49-2093)", "9110": "Ambulance drivers and attendants, except emergency medical technicians (53-3011)", "2710": "Producers and directors (27-2012)", "0410": "Property, real estate, and community association managers (11-9141)", "1740": "Environmental scientists and geoscientists (19-2040)", "9000": "Supervisors, transportation and material moving workers (53-1000)", "8150": "Heat treating equipment setters, operators, and tenders, metal and plastic (51-4191)", "2720": "Athletes, coaches, umpires, and related workers (27-2020)", "8160": "Lay-out workers, metal and plastic (51-4192)", "8040": "Metal furnace and kiln operators and tenders (51-4050)", "3940": "Crossing guards (33-9091)", "8060": "Model makers and patternmakers, metal and plastic (51-4060)", "3600": "Nursing, psychiatric, and home health aides (31-1010)", "2750": "Musicians, singers, and related workers (27-2040)", "3840": "Parking enforcement workers (33-3041)", "5900": "Office machine operators, except computer (43-9071)", "2400": "Archivists, curators, and museum technicians (25-4010)", "0120": "Financial managers (11-3031)", "3620": "Physical therapist assistants and aides (31-2020)", "4950": "Door-to-door sales workers, news and street vendors, and related workers (41-9091)", "4710": "First-line supervisors/managers of non-retail sales workers (41-1012)" } } }, "AAST2D": { "label": "AS: Allocation flag for EAST2D", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "2": "Cold deck imputation", "4": "Statistical or logical imputation using previous wave data", "0": "Not imputed", "1": "Statistical imputation (hot deck)", "3": "Logical imputation (derivation)" } } }, "AAST2C": { "label": "AS: Allocation flag for EAST2C", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "2": "Cold deck imputation", "4": "Statistical or logical imputation using previous wave data", "1": "Statistical imputation (hot deck)", "0": "Not imputed", "3": "Logical imputation (derivation)" } } }, "TJBOCC1": { "label": "JB: Occupation classification code", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "7310": "Heating, air conditioning, and refrigeration mechanics and installers (49-9021)", "7430": "Precision instrument and equipment repairers (49-9060)", "8400": "Textile cutting machine setters, operators, and tenders (51-6062)", "5140": "Payroll and timekeeping clerks (43-3051)", "6110": "Hunters and trappers (45-3021)", "0800": "Accountants and auditors (13-2011)", "8540": "Woodworking machine setters, operators, and tenders, except sawing (51-7042)", "4060": "Counter attendants, cafeteria, food concession, and coffee shop (35-3022)", "0810": "Appraisers and assessors of real estate (13-2021)", "8430": "Extruding and forming machine setters, operators, and tenders, synthetic and glass fiber", "1800": "Economists (19-3011)", "7360": "Millwrights (49-9044)", "1930": "Geological and petroleum technicians (19-4041)", "1940": "Nuclear technicians (19-4051)", "1710": "Atmospheric and space scientists (19-2021)", "0500": "Agents and business managers of artists, performers, and athletes (13-1011)", "9350": "Parking lot attendants (53-6021)", "3800": "Bailiffs, correctional officers, and jailers (33-3010)", "0540": "Claims adjusters, appraisers, examiners, and investigators (13-1030)", "0310": "Food service managers (11-9051)", "1400": "Computer hardware engineers (17-2061)", "1520": "Petroleum engineers (17-2171)", "1760": "Physical scientists, all other (19-2099)", "3940": "Crossing guards (33-9091)", "4800": "Advertising sales agents (41-3011)", "3600": "Nursing, psychiatric, and home health aides (31-1010)", "2750": "Musicians, singers, and related workers (27-2040)", "4810": "Insurance sales agents (41-3021)", "3860": "Transit and railroad police (33-3052)", "0220": "Construction managers (11-9021)", "0100": "Administrative services managers (11-3011)", "3730": "Supervisors, protective service workers, all other (33-1099)", "3620": "Physical therapist assistants and aides (31-2020)", "4850": "Sales representatives, wholesale and manufacturing (41-4010)", "2300": "Preschool and kindergarten teachers (25-2010)", "3650": "Medical assistants and other healthcare support occupations (31-909X)", "2320": "Secondary school teachers (25-2030)", "1230": "Statisticians (15-2041)", "2310": "Elementary and middle school teachers (25-2020)", "5820": "Word processors and typists (43-9022)", "6910": "Roof bolters, mining (47-5061)", "1240": "Miscellaneous mathematical science occupations (15-2090)", "4520": "Miscellaneous personal appearance workers (39-5090)", "2100": "Lawyers (23-1011)", "4530": "Baggage porters, bellhops, and concierges (39-6010)", "6830": "Explosives workers, ordnance handling experts, and blasters (47-5031)", "0050": "Marketing and sales managers (11-2020)", "5630": "Weighers, measurers, checkers, and samplers, recordkeeping (43-5111)", "4300": "First-line supervisors/managers of gaming workers (39-1010)", "2000": "Counselors (21-1010)", "5400": "Receptionists and information clerks (43-4171)", "5530": "Meter readers, utilities (43-5041)", "4200": "First-line supervisors/managers of housekeeping and janitorial workers (37-1011)", "5410": "Reservation and transportation ticket agents and travel clerks (43-4181)", "7710": "Aircraft structure, surfaces, rigging, and systems assemblers (51-2011)", "2020": "Miscellaneous community and social service specialists (21-1090)", "7960": "Drilling and boring machine tool setters, operators, and tenders, metal and plastic (51-", "7610": "Helpers--installation, maintenance, and repair workers (49-9098)", "5560": "Postal service mail sorters, processors, and processing machine operators (43-5053)", "5200": "Brokerage clerks (43-4011)", "7740": "Structural metal fabricators and fitters (51-2041)", "2050": "Directors, religious activities and education (21-2021)", "4240": "Pest control workers (37-2021)", "2060": "Religious workers, all other (21-2099)", "4140": "Dishwashers (35-9021)", "6320": "Operating engineers and other construction equipment operators (47-2073)", "7410": "Electrical power-line installers and repairers (49-9051)", "8500": "Cabinetmakers and bench carpenters (51-7011)", "4030": "Food preparation workers (35-2021)", "6210": "Boilermakers (47-2011)", "9720": "Refuse and recyclable material collectors (53-7081)", "9600": "Industrial truck and tractor operators (53-7051)", "5250": "Eligibility interviewers, government programs (43-4061)", "9730": "Shuttle car operators (53-7111)", "5010": "Switchboard operators, including answering service (43-2011)", "8530": "Sawing machine setters, operators, and tenders, wood (51-7041)", "8420": "Textile winding, twisting, and drawing out machine setters, operators, and tenders (51-6", "9630": "Machine feeders and offbearers (53-7063)", "6240": "Carpet, floor, and tile installers and finishers (47-2040)", "1900": "Agricultural and food science technicians (19-4011)", "9520": "Dredge, excavating, and loading machine operators (53-7030)", "0830": "Credit analysts (13-2041)", "8210": "Tool grinders, filers, and sharpeners (51-4194)", "8450": "Upholsterers (51-6093)", "0600": "Cost estimators (13-1051)", "0840": "Financial analysts (13-2051)", "1820": "Psychologists (19-3030)", "1830": "Sociologists (19-3041)", "1720": "Chemists and materials scientists (19-2030)", "8130": "Tool and die makers (51-4111)", "8010": "Lathe and turning machine tool setters, operators, and tenders, metal and plastic (51-40", "2700": "Actors (27-2011)", "0520": "Wholesale and retail buyers, except farm products (13-1022)", "9110": "Ambulance drivers and attendants, except emergency medical technicians (53-3011)", "3920": "Security guards and gaming surveillance officers (33-9030)", "0420": "Social and community service managers (11-9151)", "0300": "Engineering managers (11-9041)", "9260": "Subway, streetcar, and other rail transportation workers (53-40XX)", "3830": "Fish and game wardens (33-3031)", "8060": "Model makers and patternmakers, metal and plastic (51-4060)", "0230": "Education administrators (11-9030)", "1560": "Surveying and mapping technicians (17-3031)", "1430": "Industrial engineers, including health and safety (17-2110)", "4700": "First-line supervisors/managers of retail sales workers (41-1011)", "1330": "Agricultural engineers (17-2021)", "0120": "Financial managers (11-3031)", "1200": "Actuaries (15-2011)", "1340": "Biomedical engineers (17-2031)", "1110": "Network systems and data communications analysts (15-1081)", "1100": "Network and computer systems administrators (15-1071)", "2330": "Special education teachers (25-2040)", "4500": "Barbers (39-5011)", "6930": "Helpers--extraction workers (47-5081)", "3320": "Diagnostic related technologists and technicians (29-2030)", "7930": "Forging machine setters, operators, and tenders, metal and plastic (51-4022)", "5510": "Couriers and messengers (43-5021)", "3210": "Recreational therapists (29-1125)", "7920": "Extruding and drawing machine setters, operators, and tenders, metal and plastic (51-402", "1040": "Computer support specialists (15-1041)", "6740": "Rail-track laying and maintenance equipment operators (47-4061)", "2140": "Paralegals and legal assistants (23-2011)", "6510": "Roofers (47-2181)", "1060": "Database administrators (15-1061)", "6760": "Miscellaneous construction and related workers (47-4090)", "6520": "Sheet metal workers (47-2211)", "8830": "Photographic process workers and processing machine operators (51-9130)", "4120": "Food servers, nonrestaurant (35-3041)", "4010": "First-line supervisors/managers of food preparation and serving workers (35-1012)", "8740": "Inspectors, testers, sorters, samplers, and weighers (51-9061)", "5110": "Billing and posting clerks and machine operators (43-3021)", "8640": "Chemical processing machine setters, operators, and tenders (51-9010)", "5020": "Telephone operators (43-2021)", "7560": "Riggers (49-9096)", "8410": "Textile knitting and weaving machine setters, operators, and tenders (51-6063)", "6360": "Glaziers (47-2121)", "8310": "Pressers, textile, garment, and related materials (51-6021)", "9640": "Packers and packagers, hand (53-7064)", "0700": "Logisticians (13-1081)", "7110": "Electronic equipment installers and repairers, motor vehicles (49-2096)", "6020": "Animal breeders (45-2021)", "8320": "Sewing machine operators (51-6031)", "8000": "Grinding, lapping, polishing, and buffing machine tool setters, operators, and tenders,", "3910": "Private detectives and investigators (33-9021)", "8260": "Printing machine operators (51-5023)", "9120": "Bus drivers (53-3020)", "8030": "Machinists (51-4041)", "9240": "Railroad conductors and yardmasters (53-4031)", "4900": "Models, demonstrators, and product promoters (41-9010)", "3820": "Detectives and criminal investigators (33-3021)", "3950": "Lifeguards and other protective service workers (33-909X)", "4920": "Real estate brokers and sales agents (41-9020)", "4940": "Telemarketers (41-9041)", "3750": "Fire inspectors (33-2020)", "4960": "Sales and related workers, all other (41-9099)", "2540": "Teacher assistants (25-9041)", "4710": "First-line supervisors/managers of non-retail sales workers (41-1012)", "5920": "Statistical assistants (43-9111)", "5800": "Computer operators (43-9011)", "2550": "Other education, training, and library workers (25-90XX)", "3310": "Dental hygienists (29-2021)", "4510": "Hairdressers, hairstylists, and cosmetologists (39-5012)", "4410": "Motion picture projectionists (39-3021)", "3200": "Radiation therapists (29-1124)", "7950": "Cutting, punching, and press machine setters, operators, and tenders, metal and plastic", "4320": "First-line supervisors/managers of personal service workers (39-1021)", "6500": "Reinforcing iron and rebar workers (47-2171)", "5540": "Postal service clerks (43-5051)", "7720": "Electrical, electronics, and electromechanical assemblers (51-2020)", "3120": "Podiatrists (29-1081)", "4460": "Funeral service workers (39-4000)", "7730": "Engine and other machine assemblers (51-2031)", "3130": "Registered nurses (29-1111)", "8710": "Cutting workers (51-9030)", "3260": "Health diagnosing and treating practitioners, all other (29-1199)", "5330": "Loan interviewers and clerks (43-4131)", "6420": "Painters, construction and maintenance (47-2141)", "8840": "Semiconductor processors (51-9141)", "4250": "Grounds maintenance workers (37-3010)", "8850": "Cementing and gluing machine operators and tenders (51-9191)", "7520": "Commercial divers (49-9092)", "8730": "Furnace, kiln, oven, drier, and kettle operators and tenders (51-9051)", "3040": "Optometrists (29-1041)", "5350": "Order clerks (43-4151)", "-1": "Not in Universe", "8620": "Water and liquid waste treatment plant and system operators (51-8031)", "3050": "Pharmacists (29-1051)", "8630": "Miscellaneous plant and system operators (51-8090)", "5120": "Bookkeeping, accounting, and auditing clerks (43-3031)", "0900": "Financial examiners (13-2061)", "4040": "Bartenders (35-3011)", "6100": "Fishers and related fishing workers (45-3011)", "9610": "Cleaners of vehicles and equipment (53-7061)", "9500": "Conveyor operators and tenders (53-7011)", "5260": "File Clerks (43-4071)", "7210": "Bus and truck mechanics and diesel engine specialists (49-3031)", "5150": "Procurement clerks (43-3061)", "0820": "Budget analysts (13-2031)", "9650": "Pumping station operators (53-7070)", "7350": "Maintenance workers, machinery (49-9043)", "0710": "Management analysts (13-1111)", "9300": "Sailors and marine oilers (53-5011)", "7010": "Computer, automated teller, and office machine repairers (49-2011)", "7130": "Security and fire alarm systems installers (49-2098)", "9200": "Locomotive engineers and operators (53-4010)", "7260": "Miscellaneous vehicle and mobile equipment mechanics, installers, and repairers (49-3090", "0620": "Human resources, training, and labor relations specialists (13-1070)", "8120": "Multiple machine tool setters, operators, and tenders, metal and plastic (51-4081)", "1840": "Urban and regional planners (19-3051)", "2820": "Public relations specialists (27-3031)", "8020": "Milling and planing machine setters, operators, and tenders, metal and plastic (51-4035)", "2710": "Producers and directors (27-2012)", "2600": "Artists and related workers (27-1010)", "2840": "Technical writers (27-3042)", "0560": "Compliance officers, except agriculture, construction, health and safety, and transporta", "0200": "Farm, ranch, and other agricultural managers (11-9011)", "1410": "Electrical and electronic engineers (17-2070)", "1530": "Engineers, all other (17-2199)", "3710": "First-line supervisors/managers of police and detectives (33-1012)", "0340": "Lodging managers (11-9081)", "0330": "Gaming managers (11-9071)", "1540": "Drafters (17-3010)", "3720": "First-line supervisors/managers of fire fighting and prevention workers (33-1021)", "4930": "Sales engineers (41-9031)", "5900": "Office machine operators, except computer (43-9071)", "9040": "Air traffic controllers and airfield operations specialists (53-2020)", "3610": "Occupational therapist assistants and aides (31-2010)", "3740": "Fire fighters (33-2011)", "4830": "Travel agents (41-3041)", "4600": "Child care workers (39-9011)", "5810": "Data entry keyers (43-9021)", "1350": "Chemical engineers (17-2041)", "0140": "Industrial production managers(11-3051)", "4610": "Personal and home care aides (39-9021)", "3540": "Other healthcare practitioners and technical occupations (29-9000)", "0150": "Purchasing managers (11-3061)", "6920": "Roustabouts, oil and gas (47-5071)", "1010": "Computer programmers (15-1021)", "6820": "Earth drillers, except oil and gas (47-5021)", "5500": "Cargo and freight agents (43-5011)", "7940": "Rolling machine setters, operators, and tenders, metal and plastic (51-4023)", "3220": "Respiratory therapists (29-1126)", "6600": "Helpers, construction trades (47-3010)", "4210": "First-line supervisors/managers of landscaping, lawn service, and groundskeeping workers", "6750": "Septic tank servicers and sewer pipe cleaners (47-4071)", "7600": "Signal and track switch repairers (49-9097)", "3240": "Therapists, all other (29-1129)", "2150": "Miscellaneous legal support workers (23-2090)", "5550": "Postal service mail carriers (43-5052)", "6400": "Insulation workers (47-2130)", "2040": "Clergy (21-2011)", "3250": "Veterinarians (29-1131)", "7510": "Coin, vending, and amusement machine servicers and repairers (49-9091)", "8600": "Power plant operators, distributors, and dispatchers (51-8010)", "5220": "Court, municipal, and license clerks (43-4031)", "5100": "Bill and account collectors (43-3011)", "9840": "Persons whose current labor force status is unemployed and last job was Armed Forces", "5000": "First-line supervisors/managers of office and administrative support workers (43-1011)", "8510": "Furniture finishers (51-7021)", "4160": "Food preparation and serving related workers, all other (35-9099)", "9740": "Tank car, truck, and ship loaders (53-7121)", "9620": "Laborers and freight, stock, and material movers, hand (53-7062)", "5030": "Communications equipment operators, all other (43-2099)", "7330": "Industrial and refractory machinery mechanics (49-904X)", "0930": "Tax examiners, collectors, and revenue agents (13-2081)", "8330": "Shoe and leather workers and repairers (51-6041)", "9420": "Other transportation workers (53-60XX)", "7240": "Small engine mechanics (49-3050)", "0720": "Meeting and convention planners (13-1121)", "6040": "Graders and sorters, agricultural products (45-2041)", "8350": "Tailors, dressmakers, and sewers (51-6050)", "2920": "Television, video, and motion picture camera operators and editors (27-4030)", "1600": "Agricultural and food scientists (19-1010)", "7040": "Electric motor, power tool, and related repairers (49-2092)", "9340": "Bridge and lock tenders (53-6011)", "0410": "Property, real estate, and community association managers (11-9141)", "9130": "Driver/sales workers and truck drivers (53-3030)", "1640": "Conservation scientists and foresters (19-1030)", "0430": "Managers, all other (11-9199)", "1420": "Environmental engineers (17-2081)", "1310": "Surveyors, cartographers, and photogrammetrists (17-1020)", "5910": "Proofreaders and copy markers (43-9081)", "4950": "Door-to-door sales workers, news and street vendors, and related workers (41-9091)", "3640": "Dental assistants (31-9091)", "1460": "Mechanical engineers (17-2141)", "4740": "Counter and rental clerks (41-2021)", "3530": "Miscellaneous health technologists and technicians (29-2090)", "3400": "Emergency medical technicians and paramedics (29-2041)", "3520": "Opticians, dispensing (29-2081)", "5700": "Secretaries and administrative assistants (43-6010)", "5840": "Insurance claims and policy processing clerks (43-9041)", "3410": "Health diagnosing and treating practitioner support technicians (29-2050)", "4620": "Recreation and fitness workers (39-9030)", "6940": "Other extraction workers (47-50XX)", "2340": "Other teachers and instructors (25-3000)", "3300": "Clinical laboratory technologists and technicians (29-2010)", "5600": "Production, planning, and expediting clerks (43-5061)", "4650": "Personal care and service workers, all other (39-9099)", "5860": "Office clerks, general (43-9061)", "4430": "Miscellaneous entertainment attendants and related workers (39-3090)", "2010": "Social workers (21-1020)", "8920": "Molders, shapers, and casters, except metal and plastic (51-9195)", "8910": "Etchers and engravers (51-9194)", "5420": "Information and record clerks, all other (43-4199)", "8810": "Painting workers (51-9120)", "7850": "Food cooking machine operators and tenders (51-3093)", "6530": "Structural iron and steel workers (47-2221)", "8950": "Helpers--production workers (51-9198)", "3140": "Audiologists (29-1121)", "7750": "Miscellaneous assemblers and fabricators (51-2090)", "4000": "Chefs and head cooks (35-1011)", "8610": "Stationary engineers and boiler operators (51-8021)", "3160": "Physical therapists (29-1123)", "6440": "Pipelayers, plumbers, pipefitters, and steamfitters (47-2150)", "5240": "Customer service representatives (43-4051)", "7540": "Locksmiths and safe repairers (49-9094)", "7550": "Manufactured building and mobile home installers (49-9095)", "8520": "Model makers and patternmakers, wood (51-7030)", "6230": "Carpenters (47-2031)", "7200": "Automotive service technicians and mechanics (49-3023)", "7320": "Home appliance repairers (49-9031)", "5160": "Tellers (43-3071)", "1910": "Biological technicians (19-4021)", "0940": "Tax preparers (13-2082)", "9310": "Ship and boat captains and operators (53-5020)", "8340": "Shoe machine operators and tenders (51-6042)", "1700": "Astronomers and physicists (19-2010)", "0730": "Other business operations specialists (13-11XX)", "9560": "Hoist and winch operators (53-7041)", "7140": "Aircraft mechanics and service technicians (49-3011)", "2800": "Announcers (27-3010)", "0860": "Insurance underwriters (13-2053)", "9330": "Ship engineers (53-5031)", "1960": "Other life, physical, and social science technicians (19-40XX)", "8250": "Prepress technicians and workers (51-5022)", "7050": "Electrical and electronics installers and repairers, transportation equipment (49-2093)", "8140": "Welding, soldering, and brazing workers (51-4120)", "1740": "Environmental scientists and geoscientists (19-2040)", "1860": "Miscellaneous social scientists and related workers (19-3090)", "9360": "Service station attendants (53-6031)", "2960": "Media and communication equipment workers, all other (27-4099)", "3700": "First-line supervisors/managers of correctional officers (33-1011)", "0320": "Funeral directors (11-9061)", "2860": "Miscellaneous media and communication workers (27-3090)", "9030": "Aircraft pilots and flight engineers (53-2010)", "0350": "Medical and health services managers (11-9111)", "2400": "Archivists, curators, and museum technicians (25-4010)", "4820": "Securities, commodities, and financial services sales agents (41-3031)", "0110": "Computer and information systems managers (11-3021)", "0130": "Human resources managers (11-3040)", "2430": "Librarians (25-4021)", "1210": "Mathematicians (15-2021)", "4750": "Parts salespersons (41-2022)", "1000": "Computer scientists and systems analysts (15-10XX)", "2200": "Postsecondary teachers (25-1000)", "4760": "Retail salespersons (41-2031)", "4640": "Residential advisors (39-9041)", "6700": "Elevator installers and repairers (47-4021)", "4420": "Ushers, lobby attendants, and ticket takers (39-3031)", "6710": "Fence erectors (47-4031)", "4550": "Transportation attendants (39-6030)", "8900": "Cooling and freezing equipment operators and tenders (51-9193)", "3230": "Speech-language pathologists (29-1127)", "7700": "First-line supervisors/managers of production and operating workers (51-1011)", "7840": "Food batchmakers (51-3092)", "5300": "Hotel, motel, and resort desk clerks (43-4081)", "5310": "Interviewers, except eligibility and loan (43-4111)", "3010": "Dentists (29-1020)", "7620": "Other installation, maintenance, and repair workers (49-909X)", "5210": "Correspondence clerks (43-4021)", "6300": "Paving, surfacing, and tamping equipment operators (47-2071)", "8860": "Cleaning, washing, and metal pickling equipment operators and tenders (51-9192)", "4150": "Hosts and hostesses, restaurant, lounge, and coffee shop (35-9031)", "5360": "Human resources assistants, except payroll and timekeeping (43-4161)", "6460": "Plasterers and stucco masons (47-2161)", "6220": "Brickmasons, blockmasons, and stonemasons (47-2020)", "8760": "Medical, dental, and ophthalmic laboratory technicians (51-9080)", "0910": "Loan counselors and officers (13-2070)", "4050": "Combined food preparation and serving workers, including fast food (35-3021)", "6120": "Forest and conservation workers (45-4011)", "8300": "Laundry and dry-cleaning workers (51-6011)", "6130": "Logging workers (45-4020)", "7340": "Maintenance and repair workers, general (49-9042)", "7100": "Electrical and electronics repairers, industrial and utility (49-209X)", "8200": "Plating and coating machine setters, operators, and tenders, metal and plastic (51-4193)", "9410": "Transportation inspectors (53-6051)", "8440": "Fabric and apparel patternmakers (51-6092)", "1920": "Chemical technicians (19-4031)", "0950": "Financial specialists, all other (13-2099)", "7000": "First-line supervisors/managers of mechanics, installers, and repairers (49-1011)", "7120": "Electronic home entertainment equipment installers and repairers (49-2097)", "1810": "Market and survey researchers (19-3020)", "8100": "Molders and molding machine setters, operators, and tenders, metal and plastic (51-4070)", "2910": "Photographers (27-4021)", "6050": "Miscellaneous agricultural workers (45-2090)", "8360": "Textile bleaching and dyeing machine operators and tenders (51-6061)", "0510": "Purchasing agents and buyers, farm products (13-1021)", "2810": "News analysts, reporters and correspondents (27-3020)", "9230": "Railroad brake, signal, and switch operators (53-4021)", "2830": "Editors (27-3041)", "8160": "Lay-out workers, metal and plastic (51-4192)", "8040": "Metal furnace and kiln operators and tenders (51-4050)", "2850": "Writers and authors (27-3043)", "1650": "Medical scientists (19-1040)", "1550": "Engineering technicians, except drafters (17-3020)", "2760": "Entertainers and performers, sports and related workers, all other (27-2099)", "9150": "Motor vehicle operators, all other (53-3099)", "0210": "Farmers and ranchers (11-9012)", "3840": "Parking enforcement workers (33-3041)", "1440": "Marine engineers and naval architects (17-2121)", "3850": "Police and sheriff's patrol officers(33-3051)", "1450": "Materials engineers (17-2131)", "0360": "Natural sciences managers (11-9121)", "3500": "Licensed practical and licensed vocational nurses (29-2061)", "1320": "Aerospace engineers (17-2011)", "1220": "Operations research analysts (15-2031)", "3510": "Medical records and health information technicians (29-2071)", "3630": "Massage therapists (31-9011)", "4840": "Sales representatives, services, all other (41-3099)", "5930": "Office and administrative support workers, all other (43-9199)", "2440": "Library technicians (25-4031)", "5830": "Desktop publishers (43-9031)", "6800": "Derrick, rotary drill, and service unit operators, oil, gas, and mining (47-5010)", "5850": "Mail clerks and mail machine operators, except postal service (43-9051)", "7900": "Computer control programmers and operators (51-4010)", "5620": "Stock clerks and order fillers (43-5081)", "1020": "Computer software engineers (15-1030)", "5610": "Shipping, receiving, and traffic clerks (43-5071)", "6720": "Hazardous materials removal workers (47-4041)", "6840": "Mining machine operators (47-5040)", "7800": "Bakers (51-3011)", "5520": "Dispatchers (43-5030)", "6730": "Highway maintenance workers (47-4051)", "7830": "Food and tobacco roasting, baking, and drying machine operators and tenders (51-3091)", "3110": "Physician assistants (29-1071)", "8930": "Paper goods machine setters, operators, and tenders (51-9196)", "3000": "Chiropractors (29-1011)", "4340": "Animal trainers (39-2011)", "8940": "Tire builders (51-9197)", "4230": "Maids and housekeeping cleaners (37-2012)", "8720": "Extruding, forming, pressing, and compacting machine setters, operators, and tenders (51", "3030": "Dietitians and nutritionists (29-1031)", "4020": "Cooks (35-2010)", "6200": "First-line supervisors/managers of construction trades and extraction workers (47-1011)", "3060": "Physicians and surgeons (29-1060)", "5130": "Gaming cage workers (43-3041)", "6350": "Electricians (47-2111)", "8650": "Crushing, grinding, polishing, mixing, and blending workers (51-9020)", "9510": "Crane and tower operators (53-7021)", "6000": "First-line supervisors/managers of farming, fishing, and forestry workers (45-1010)", "9750": "Material moving workers, all other (53-7199)", "6010": "Agricultural inspectors (45-2011)", "7220": "Heavy vehicle and mobile equipment service technicians and mechanics (49-3040)", "8550": "Woodworkers, all other (51-7099)", "6250": "Cement masons, concrete finishers, and terrazzo workers (47-2050)", "6260": "Construction laborers (47-2061)", "2900": "Broadcast and sound engineering technicians and radio operators (27-4010)", "8220": "Metalworkers and plastic workers, all other (51-4199)", "8460": "Textile, apparel, and furnishings workers, all other (51-6099)", "0850": "Personal financial advisors (13-2052)", "8230": "Bookbinders and bindery workers (51-5010)", "7020": "Radio and telecommunications equipment installers and repairers (49-2020)", "7150": "Automotive body and related repairers (49-3021)", "8240": "Job printers (51-5021)", "7030": "Avionics technicians (49-2091)", "3900": "Animal control workers (33-9011)", "7160": "Automotive glass installers and repairers (49-3022)", "1610": "Biological scientists (19-1020)", "1500": "Mining and geological engineers, including mining safety engineers (17-2151)", "0530": "Purchasing agents, except wholesale, retail, and farm products (13-1023)", "9000": "Supervisors, transportation and material moving workers (53-1000)", "8150": "Heat treating equipment setters, operators, and tenders, metal and plastic (51-4191)", "1510": "Nuclear engineers (17-2161)", "2720": "Athletes, coaches, umpires, and related workers (27-2020)", "9140": "Taxi drivers and chauffeurs (53-3041)", "2740": "Dancers and choreographers (27-2030)", "1300": "Architects, except naval (17-1010)", "2630": "Designers (27-1020)", "0010": "Chief executives (11-1011)", "4720": "Cashiers (41-2010)", "0020": "General and operations managers (11-1021)", "1360": "Civil engineers (17-2051)", "0040": "Advertising and promotions managers (11-2011)", "0160": "Transportation, storage, and distribution managers (11-3071)", "4400": "Gaming services workers (39-3010)", "4540": "Tour and travel guides (39-6020)", "0060": "Public relations managers (11-2031)", "7810": "Butchers and other meat, poultry, and fish processing workers (51-3020)", "8800": "Packaging and filling machine operators and tenders (51-9111)", "4220": "Janitors and building cleaners (37-201X)", "4350": "Nonfarm animal caretakers (39-2021)", "4110": "Waiters and waitresses (35-3031)", "5320": "Library assistants, clerical (43-4121)", "8960": "Production workers, all other (51-9199)", "6660": "Construction and building inspectors (47-4011)", "3150": "Occupational therapists (29-1122)", "4130": "Dining room and cafeteria attendants and bartender helpers (35-9011)", "5340": "New accounts clerks (43-4141)", "6430": "Paperhangers (47-2142)", "6310": "Pile-driver operators (47-2072)", "5230": "Credit authorizers, checkers, and clerks (43-4041)", "8750": "Jewelers and precious stone and metal workers (51-9071)", "7420": "Telecommunications line installers and repairers (49-9052)", "6330": "Drywall installers, ceiling tile installers, and tapers (47-2080)", "7300": "Control and valve installers and repairers (49-9010)" } } }, "A10AMT": { "label": "GI: Allocation flag for T10AMT", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "4": "Statistical or logical imputation using previous wave data", "1": "Statistical imputation (hot deck)", "2": "Cold deck imputation", "3": "Logical imputation (derivation)", "0": "Not imputed" } } }, "T01AMTK": { "label": "GI: Amount of Social Security - Child (ISS Code 1)", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "None or not in universe" }, "range": [ { "min": "1", "max": "99999", "description": "Amount in dollars" } ] } }, "ASSICHLD": { "label": "GI: Allocation flag for ESSICHLD", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "2": "Cold deck imputation", "4": "Statistical or logical imputation using previous wave data", "3": "Logical imputation (derivation)", "1": "Statistical imputation (hot deck)", "0": "Not imputed" } } }, "EPAOTHR6": { "label": "GI: Whether ... received welfare assistance", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Yes", "-1": "Not in Universe", "2": "No" } } }, "EPAOTHR5": { "label": "GI: Whether ... received housing assistance", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "2": "No", "1": "Yes", "-1": "Not in Universe" } } }, "THUNEMP": { "label": "HH: Total Household Unemployment Income Recode", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "range": [ { "min": "0", "max": "150000", "description": "Dollar amount" } ] } }, "TPYRATE1": { "label": "JB: Regular hourly pay rate", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "Not in universe or none" }, "range": [ { "min": "0.01", "max": "35.0", "description": "Dollars and cents (two implied decimals)" } ] } }, "TPYRATE2": { "label": "JB: Regular hourly pay rate", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "Not in universe or none" }, "range": [ { "min": "0.01", "max": "35.0", "description": "Dollars and cents (two implied decimals)" } ] } }, "EASST10": { "label": "ED: Employer provided educational assistance", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Received", "2": "Did not receive", "-1": "Not in Universe" } } }, "AR38": { "label": "GI: Allocation flag for ER38", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "Not imputed", "1": "Statistical imputation (hot deck)", "4": "Statistical or logical imputation using previous wave data", "2": "Cold deck imputation", "3": "Logical imputation (derivation)" } } }, "EASST12": { "label": "ED: Aid from a state or local welfare office", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "2": "Did not receive", "-1": "Not in Universe", "1": "Received" } } }, "RHNF": { "label": "HH: Number of families and pseudo families in this hhld", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "range": [ { "min": "1", "max": "30", "description": "Number of families and pseudo families in household" } ] } }, "EASST11": { "label": "ED: Other Financial Aid excl. aid from parents, trust,etc", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "-1": "Not in Universe", "2": "Did not receive", "1": "Received" } } }, "AR39": { "label": "GI: Allocation flag for ER39", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "4": "Statistical or logical imputation using previous wave data", "2": "Cold deck imputation", "1": "Statistical imputation (hot deck)", "0": "Not imputed", "3": "Logical imputation (derivation)" } } }, "AR36": { "label": "GI: Allocation flag for ER36", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Statistical imputation (hot deck)", "2": "Cold deck imputation", "0": "Not imputed", "3": "Logical imputation (derivation)", "4": "Statistical or logical imputation using previous wave data" } } }, "AR34": { "label": "GI: Allocation flag for ER34", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "2": "Cold deck imputation", "4": "Statistical or logical imputation using previous wave data", "1": "Statistical imputation (hot deck)", "3": "Logical imputation (derivation)", "0": "Not imputed" } } }, "AR35": { "label": "GI: Allocation flag for ER35", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "Not imputed", "1": "Statistical imputation (hot deck)", "2": "Cold deck imputation", "3": "Logical imputation (derivation)", "4": "Statistical or logical imputation using previous wave data" } } }, "AR32": { "label": "GI: Allocation flag for ER32", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "4": "Statistical or logical imputation using previous wave data", "1": "Statistical imputation (hot deck)", "3": "Logical imputation (derivation)", "2": "Cold deck imputation", "0": "Not imputed" } } }, "EASST09": { "label": "ED: Grant/Scholarship from other source", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "2": "Did not receive", "-1": "Not in Universe", "1": "Received" } } }, "AR30": { "label": "GI: Allocation flag for ER30", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "3": "Logical imputation (derivation)", "0": "Not imputed", "2": "Cold deck imputation", "4": "Statistical or logical imputation using previous wave data", "1": "Statistical imputation (hot deck)" } } }, "EASST08": { "label": "ED: Grant/Scholarship from the state", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "-1": "Not in Universe", "2": "Did not receive", "1": "Received" } } }, "AR31": { "label": "GI: Allocation flag for ER31", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Statistical imputation (hot deck)", "4": "Statistical or logical imputation using previous wave data", "2": "Cold deck imputation", "3": "Logical imputation (derivation)", "0": "Not imputed" } } }, "AADJUST": { "label": "MG: Allocation flag for EADJUST", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "3": "Logical imputation(derivation)", "1": "Statistical imputation(hot deck)", "2": "Cold deck", "0": "Not imputed" } } }, "EAST3A": { "label": "AS: Mutual funds owned", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "-1": "Not in Universe", "1": "Yes", "2": "No" } } }, "EALCON29": { "label": "WD: Health condition responsible for work limitation", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Yes", "2": "No", "-1": "Not in Universe" } } }, "EALCON28": { "label": "WD: Health condition responsible for work limitation", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Yes", "2": "No", "-1": "Not in Universe" } } }, "AFREEBRK": { "label": "HH: Allocation flag for EFREEBRK", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "3": "Logical imputation (derivation)", "4": "Statistical or logical imputation using previous wave data", "0": "Not imputed", "1": "Statistical imputation (hot deck)", "2": "Cold deck imputation" } } }, "EAST3C": { "label": "AS: Municipal or corporate bonds owned", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "2": "No", "-1": "Not in Universe", "1": "Yes" } } }, "EAST3B": { "label": "AS: Stocks owned", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "2": "No", "-1": "Not in Universe", "1": "Yes" } } }, "EAST3E": { "label": "AS: Mortgage held", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "2": "No", "-1": "Not in Universe", "1": "Yes" } } }, "RNKBRK": { "label": "HH: Number of children receiving complete breakfast", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "-1": "Not in Universe" }, "range": [ { "min": "1", "max": "30", "description": "Number of children" } ] } }, "EAST3D": { "label": "AS: U.S. government securities owned", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "2": "No", "-1": "Not in Universe", "1": "Yes" } } }, "TMDOINT": { "label": "AS: Amt of monthly interest from own money market deposit", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "None or not in universe" }, "range": [ { "min": "1", "max": "2000", "description": "Dollars" } ] } }, "EALCON23": { "label": "WD: Health condition responsible for work limitation", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Yes", "-1": "Not in Universe", "2": "No" } } }, "ESSSELF": { "label": "GI: Receipt of Social Security payments for self", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "2": "No", "-1": "Not in Universe", "1": "Yes" } } }, "EALCON22": { "label": "WD: Health condition responsible for work limitation", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Yes", "2": "No", "-1": "Not in Universe" } } }, "AMNCAUS": { "label": "WD: Allocation flag for EMNCAUS.", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Statistical imputation (hot deck)", "0": "Not imputed", "2": "Cold deck imputation", "3": "Logical imputation" } } }, "EALCON21": { "label": "WD: Health condition responsible for work limitation", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "2": "No", "1": "Yes", "-1": "Not in Universe" } } }, "EALCON20": { "label": "WD: Health condition responsible for work limitation", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "2": "No", "-1": "Not in Universe", "1": "Yes" } } }, "EEGYPMT3": { "label": "HH: Energy assist paymnt to utils, fuel dealers, landlord", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Yes", "-1": "Not in Universe", "2": "No" } } }, "EALCON27": { "label": "WD: Health condition responsible for work limitation", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "-1": "Not in Universe", "2": "No", "1": "Yes" } } }, "ENWATRN1": { "label": "ET: Have you been using this training to search for job?", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "-1": "Not in Universe", "2": "No", "1": "Yes" } } }, "WSFINWGT": { "label": "WW: 'WPFINWGT' for head of subfamily", "predicateType": "int", "group": "N/A", "limit": 0, "is-weight": true, "values": { "item": { "-1": "Not in Universe" }, "range": [ { "min": "0.0", "max": "99999.9999", "description": "Weight of related subfamily reference person" } ] } }, "EALCON26": { "label": "WD: Health condition responsible for work limitation", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "2": "No", "-1": "Not in Universe", "1": "Yes" } } }, "EEGYPMT1": { "label": "HH: Energy assistance payment by check", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "2": "No", "1": "Yes", "-1": "Not in Universe" } } }, "EALCON25": { "label": "WD: Health condition responsible for work limitation", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "-1": "Not in Universe", "2": "No", "1": "Yes" } } }, "EEGYPMT2": { "label": "HH: Energy assistance payment by coupons", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "2": "No", "-1": "Not in Universe", "1": "Yes" } } }, "EALCON24": { "label": "WD: Health condition responsible for work limitation", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "2": "No", "1": "Yes", "-1": "Not in Universe" } } }, "T24AMT": { "label": "GI: Amount of other welfare (ISS Code 24)", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "None or not in universe" }, "range": [ { "min": "1", "max": "99999", "description": "Amount in dollars" } ] } }, "AMOMLIVH": { "label": "FH: Allocation flag for EMOMLIVH", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "2": "Cold deck", "0": "Not imputed", "3": "Logical imputation(derivation)", "1": "Statistical imputation(hot deck)", "4": "Imputed based on previous wave data" } } }, "AEGYPMT": { "label": "HH: Allocation flag for EEGYPMT1-EEGYPMT3", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "2": "Cold deck imputation", "3": "Logical imputation (derivation)", "0": "Not imputed", "1": "Statistical imputation (hot deck)", "4": "Statistical or logical imputation using previous wave data" } } }, "ANUMTRN1": { "label": "ET: Allocation flag for ENUMTRN1.", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "2": "Cold deck", "1": "Statistical imputation(hot deck)", "0": "Not imputed", "3": "Logical imputation(derivation)" } } }, "ANUMTRN2": { "label": "ET: Allocation flag for ENUMTRN2.", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "2": "Cold deck", "0": "Not imputed", "1": "Statistical imputation(hot deck)", "3": "Logical imputation(derivation)" } } }, "AABRE": { "label": "LF: Allocation flag for EABRE", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "2": "Cold deck imputation", "1": "Statistical imputation(hot deck)", "3": "Logical imputation(derivation)", "4": "Statistical or logical imputation using previous wave data", "0": "Not imputed" } } }, "EASST01": { "label": "ED: Federal Pell Grant", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "-1": "Not in Universe", "2": "Did not receive", "1": "Received" } } }, "ECNTRC2": { "label": "JB: Coverage by union or something like a union contract", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "2": "No", "-1": "Not in Universe", "1": "Yes" } } }, "RFID": { "label": "FA: Family ID Number for this month", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "range": [ { "min": "1", "max": "120", "description": "Family ID number" } ] } }, "ECNTRC1": { "label": "JB: Coverage by union or something like a union contract", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "2": "No", "1": "Yes", "-1": "Not in Universe" } } }, "AVOCYR": { "label": "ET: Allocation flag for TVOCYR.", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "Not imputed", "1": "Statistical imputation(hot deck)", "3": "Logical imputation(derivation)", "2": "Cold deck" } } }, "ENWTRN2": { "label": "ET: Did use training on the job held at that time?", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "-1": "Not in Universe", "1": "Yes", "2": "No" } } }, "EASST03": { "label": "ED: Assistance from college (or fed) work study program", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "-1": "Not in Universe", "2": "Did not receive", "1": "Received" } } }, "AAST4B": { "label": "AS: Allocation flag for EAST4B", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Statistical imputation (hot deck)", "3": "Logical imputation (derivation)", "0": "Not imputed", "2": "Cold deck imputation", "4": "Statistical or logical imputation using previous wave data" } } }, "TADYEAR": { "label": "MG: Year status changed to permanent resident", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Before 1980", "-1": "Not in Universe", "4": "1987-1988", "11": "2002", "3": "1985-1986", "5": "1989-1990", "8": "1998-1999", "9": "2000", "12": "2003", "15": "2006", "16": "2007", "17": "2008-2009", "13": "2004", "10": "2001", "6": "1991-1994", "14": "2005", "2": "1980-1984", "7": "1995-1997" } } }, "AAST4A": { "label": "AS: Allocation flag for EAST4A", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Statistical imputation (hot deck)", "3": "Logical imputation (derivation)", "2": "Cold deck imputation", "4": "Statistical or logical imputation using previous wave data", "0": "Not imputed" } } }, "EHIYNGKD": { "label": "HI: Coverage of younger child (under 20) outside the hhld", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "2": "No, not covered", "-1": "Not in Universe", "1": "Yes, covered" } } }, "TINTINC": { "label": "AS: Amount of all interest income", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "None or not in univerese" }, "range": [ { "min": "1", "max": "999999", "description": "Dollars" } ] } }, "EASST05": { "label": "ED: Loan that has to be repaid (Stafford or Perkins)", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "-1": "Not in Universe", "1": "Received", "2": "Did not receive" } } }, "EASST04": { "label": "ED: Other Federal Grant or Program; e.g., SEOG, ROTC", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Received", "2": "Did not receive", "-1": "Not in Universe" } } }, "EBUSCNTR": { "label": "LF: Number of businesses owned during reference period", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "Owned contingent business(es) only", "-1": "Not in Universe" }, "range": [ { "min": "1", "max": "25", "description": "Number of businesses" } ] } }, "EASST07": { "label": "ED: Teaching or Research Assistantship from the school", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "-1": "Not in Universe", "1": "Received", "2": "Did not receive" } } }, "AGVOINT": { "label": "AS: Allocation flag for TGVOINT", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Statistical imputation (hot deck)", "2": "Cold deck imputation", "0": "Not imputed", "3": "Logical imputation (derivation)", "6": "Derived from range based values", "4": "Statistical or logical imputation using previous wave data" } } }, "TLSYEAR": { "label": "MH: Edited year of only/last separation.", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "-1": "Not in Universe" }, "range": [ { "min": "1971", "max": "2009", "description": "Year of only/last separation" } ] } }, "EASST06": { "label": "ED: Grant, Scholarship, or Tuition remission from school", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Received", "2": "Did not receive", "-1": "Not in Universe" } } }, "AR42": { "label": "GI: Allocation flag for ER42", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "4": "Statistical or logical imputation using previous wave data", "2": "Cold deck imputation", "3": "Logical imputation (derivation)", "0": "Not imputed", "1": "Statistical imputation (hot deck)" } } }, "ENATCIT": { "label": "PE: How the respondent became a US citizen", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "-1": "Not in Universe", "4": "Born in a U.S. Island Area or born in the United States", "5": "Born abroad of U.S. citizen parent or parents", "2": "Through you or your spouse's military service in U.S. Armed Forces", "1": "Naturalized", "3": "Adopted by U.S. citizen parent or parents" } } }, "EALCON19": { "label": "WD: Health condition responsible for work limitation", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Yes", "-1": "Not in Universe", "2": "No" } } }, "EALCON18": { "label": "WD: Health condition responsible for work limitation", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "2": "No", "-1": "Not in Universe", "1": "Yes" } } }, "AMLMSUM": { "label": "LF: Allocation flag for TMLMSUM", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "Not imputed", "1": "Statistical imputation(hot deck)", "2": "Cold deck imputation", "3": "Logical imputation(derivation)", "4": "Statistical or logical imputation using previous wave data" } } }, "EALCON17": { "label": "WD: Health condition responsible for work limitation", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Yes", "-1": "Not in Universe", "2": "No" } } }, "APACASH1": { "label": "GI: Allocation flag for EPACASH1", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "4": "Statistical or logical imputation using previous wave data", "0": "Not imputed", "2": "Cold deck imputation", "3": "Logical imputation (derivation)", "1": "Statistical imputation (hot deck)" } } }, "EAST2B": { "label": "AS: Savings account owned", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "-1": "Not in Universe", "1": "Yes", "2": "No" } } }, "AAST4C": { "label": "AS: Allocation flag for EAST4C", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Statistical imputation (hot deck)", "0": "Not imputed", "4": "Statistical or logical imputation using previous wave data", "3": "Logical imputation (derivation)", "2": "Cold deck imputation" } } }, "APACASH2": { "label": "GI: Allocation flag for EPACASH2", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Statistical imputation (hot deck)", "4": "Statistical or logical imputation using previous wave data", "0": "Not imputed", "3": "Logical imputation (derivation)", "2": "Cold deck imputation" } } }, "EAST2A": { "label": "AS: Interest earning checking account owned", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Yes", "2": "No", "-1": "Not in Universe" } } }, "APACASH3": { "label": "GI: Allocation flag for EPACASH3", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "2": "Cold deck imputation", "0": "Not imputed", "3": "Logical imputation (derivation)", "4": "Statistical or logical imputation using previous wave data", "1": "Statistical imputation (hot deck)" } } }, "EAST2D": { "label": "AS: Certificate of deposit owned", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "-1": "Not in Universe", "1": "Yes", "2": "No" } } }, "TGVOINT": { "label": "AS: Amount of monthly int from own US Govt securities", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "None or not in universe" }, "range": [ { "min": "1", "max": "9200", "description": "Dollars" } ] } }, "EAST2C": { "label": "AS: Money market deposit account owned", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "-1": "Not in Universe", "2": "No", "1": "Yes" } } }, "EALCON12": { "label": "WD: Health condition responsible for work limitation", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "-1": "Not in Universe", "1": "Yes", "2": "No" } } }, "EALCON11": { "label": "WD: Health condition responsible for work limitation", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "2": "No", "-1": "Not in Universe", "1": "Yes" } } }, "EEVERET": { "label": "LF: Ever retired from a job", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "2": "No", "1": "Yes", "-1": "Not in Universe" } } }, "EALCON10": { "label": "WD: Health condition responsible for work limitation", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "2": "No", "1": "Yes", "-1": "Not in Universe" } } }, "RHTYPE": { "label": "HH: Household type", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Family hh - Married couple", "6": "Group Quarters", "4": "Nonfamily hh - Male householder nonfamily household", "5": "Nonfamily hh - Female householder nonfamily household", "2": "Family hh - Male householder", "3": "Family hh - Female householder" } } }, "RCUOW24B": { "label": "PE: Person number of second owner of other welfare coverage", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "Not In Universe" }, "range": [ { "min": "101", "max": "1399", "description": "Person number" } ] } }, "AJARNT": { "label": "AS: Allocation flag for TJARNT", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "3": "Logical imputation (derivation)", "4": "Statistical or logical imputation using previous wave data", "6": "Derived from range based values", "1": "Statistical imputation (hot deck)", "2": "Cold deck imputation", "0": "Not imputed" } } }, "RCUOW24A": { "label": "PE: Person number of first owner of other welfare coverage", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "Not In Universe" }, "range": [ { "min": "101", "max": "1399", "description": "Person number" } ] } }, "EPUBHSE": { "label": "HH: Residence in public housing project", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "2": "No", "1": "Yes", "-1": "Not in Universe" } } }, "ASLRYB1": { "label": "BS: Allocation flag for ESLRYB1", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Statistical imputation(hot deck)", "2": "Cold deck imputation", "4": "Statistical or logical imputation using previous wave data", "0": "Not imputed", "3": "Logical imputation(derivation)" } } }, "EALCON16": { "label": "WD: Health condition responsible for work limitation", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Yes", "-1": "Not in Universe", "2": "No" } } }, "ASLRYB2": { "label": "BS: Allocation flag for ESLRYB2", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Statistical imputation(hot deck)", "3": "Logical imputation(derivation)", "0": "Not imputed", "4": "Statistical or logical imputation using previous wave data", "2": "Cold deck imputation" } } }, "EALCON15": { "label": "WD: Health condition responsible for work limitation", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "-1": "Not in Universe", "1": "Yes", "2": "No" } } }, "APNDAD": { "label": "PE: Allocation flag for EPNDAD", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "Not imputed", "2": "Cold deck imputation", "3": "Logical imputation (derivation)", "4": "Statistical or logical imputation using previous wave data", "1": "Statistical imputation (hot deck)" } } }, "APUBHS": { "label": "ET: Allocation flag for EPUBHS.", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Statistical imputation(hot deck)", "0": "Not imputed", "2": "Cold deck", "3": "Logical imputation(derivation)" } } }, "EALCON14": { "label": "WD: Health condition responsible for work limitation", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "-1": "Not in Universe", "1": "Yes", "2": "No" } } }, "EALCON13": { "label": "WD: Health condition responsible for work limitation", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "2": "No", "-1": "Not in Universe", "1": "Yes" } } }, "EPREVTEN": { "label": "MG: Type of tenure of the previous", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Owned or being bought by someone in the household", "2": "Rented for cash", "-1": "Not in Universe", "3": "Occupied without payment of cash rent", "-5": "Always lived here" } } }, "T02AMT": { "label": "GI: Amount of Railroad Retirement (ISS Code 2)", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "None or not in universe" }, "range": [ { "min": "1", "max": "99999", "description": "Amount in dollars" } ] } }, "RMHRSWK": { "label": "LF: Usual hours worked per week recode in month", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "Did not work (did not have a job, or was absent without pay from a job all weeks in month)", "5": "At least 1 but not all weeks 35+ hours, all other weeks 0 hours", "1": "All weeks 35+", "3": "Some weeks 35+ and some weeks less than 35, all weeks equal to or greater than 1 hour", "2": "All weeks 1-34 hours", "-1": "Not in Universe", "4": "Some weeks 35+, some weeks 1-34 hours, some weeks 0 hours", "6": "At least 1 week but not all weeks 1 to 34 hours, all other weeks 0 hours" } } }, "TSTYEAR": { "label": "MH: Edited year of second termination.", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "-1": "Not in Universe" }, "range": [ { "min": "1966", "max": "2009", "description": "Year of second termination" } ] } }, "EBRKFST": { "label": "HH: Receipt of school breakfast", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "2": "No", "1": "Yes", "-1": "Not in Universe" } } }, "AR56": { "label": "GI: Allocation flag for ER56", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "4": "Statistical or logical imputation using previous wave data", "2": "Cold deck imputation", "3": "Logical imputation (derivation)", "0": "Not imputed", "1": "Statistical imputation (hot deck)" } } }, "AGEDTM": { "label": "ET: Allocation flag for EGEDTM.", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "2": "Cold deck", "1": "Statistical imputation(hot deck)", "0": "Not imputed", "3": "Logical imputation(derivation)" } } }, "AR55": { "label": "GI: Allocation flag for ER55", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Statistical imputation (hot deck)", "0": "Not imputed", "2": "Cold deck imputation", "4": "Statistical or logical imputation using previous wave data", "3": "Logical imputation (derivation)" } } }, "AR52": { "label": "GI: Allocation flag for ER52", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "Not imputed", "1": "Statistical imputation (hot deck)", "4": "Statistical or logical imputation using previous wave data", "2": "Cold deck imputation", "3": "Logical imputation (derivation)" } } }, "ETYP2TR5": { "label": "ET: Training program prepd for job WITHIN organization", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Yes", "-1": "Not in Universe", "2": "No" } } }, "AHSYR": { "label": "ET: Allocation flag for THSYR.", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Statistical imputation(hot deck)", "3": "Logical imputation(derivation)", "0": "Not imputed", "2": "Cold deck" } } }, "AVAQUES": { "label": "AF: Allocation flag for EVAQUES", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Statistical imputation (hot deck)", "4": "Statistical or logical imputation using previous wave data", "2": "Cold deck imputation", "3": "Logical imputation (derivation)", "0": "Not imputed" } } }, "ETYP2TR4": { "label": "ET: Training program introduced company policies.", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "2": "No", "-1": "Not in Universe", "1": "Yes" } } }, "ETYP2TR3": { "label": "ET: Training program upgraded skills or knowledge.", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "2": "No", "1": "Yes", "-1": "Not in Universe" } } }, "AR51": { "label": "GI: Allocation flag for ER51", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "Not imputed", "1": "Statistical imputation (hot deck)", "4": "Statistical or logical imputation using previous wave data", "3": "Logical imputation (derivation)", "2": "Cold deck imputation" } } }, "ETYP2TR2": { "label": "ET: Training program taught new specific work skills.", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Yes", "2": "No", "-1": "Not in Universe" } } }, "TSPNDIST": { "label": "SF: Related subfamily distributions from pension plans", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "None or not in universe" }, "range": [ { "min": "1", "max": "1500000", "description": "Dollar amount" } ] } }, "EEDUCATE": { "label": "ED: Highest Degree received or grade completed", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "46": "Professional School degree (for example: MD(doctor),DDS(dentist),JD(lawyer)", "-1": "Not in Universe", "39": "High School Graduate - (diploma or GED or equivalent)", "36": "10th Grade", "37": "11th Grade", "40": "Some college, but no degree", "45": "Master's degree (For example: MA, MS, MEng, MEd, MSW, MBA)", "35": "9th Grade", "47": "Doctorate degree (for example: Ph.D., Ed.D)", "38": "12th grade, no diploma", "44": "Bachelor's degree (for example: BA, AB, BS)", "41": "Diploma or certificate from a vocational, technical, trade or business school beyond high", "43": "Associate (2-yr) college degree (include academic/occupational degree)", "33": "5th Or 6th Grade", "34": "7th Or 8th Grade", "31": "Less Than 1st Grade", "32": "1st, 2nd, 3rd or 4th grade" } } }, "ETYP2TR7": { "label": "ET: Training designed for something else.", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "2": "No", "1": "Yes", "-1": "Not in Universe" } } }, "THVETS": { "label": "HH: Total Household Veterans Payments Recode", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "range": [ { "min": "0", "max": "150000", "description": "Dollar amount" } ] } }, "ETYP2TR6": { "label": "ET: Training program prepd for job OUTSIDE organization", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Yes", "2": "No", "-1": "Not in Universe" } } }, "AEMPDRSN": { "label": "GI: Allocation flag for REMPDRSN", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "Not imputed", "2": "Cold deck imputation", "1": "Statistical imputation (hot deck)", "3": "Logical imputation (derivation)", "4": "Statistical or logical imputation using previous wave data" } } }, "AVETSRSN": { "label": "GI: Allocation flag for RVETSRSN", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "Not imputed", "3": "Logical imputation (derivation)", "1": "Statistical imputation (hot deck)", "2": "Cold deck imputation", "4": "Statistical or logical imputation using previous wave data" } } }, "ERELAT30": { "label": "RL: The 30th person in the hh is this person's [blank].", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "50": "Father/mother-in-law", "13": "Adoptive parent", "40": "Grandparent", "63": "Paid employee", "21": "Stepchild", "24": "Foster child", "10": "Biological parent", "34": "Other brother/sister", "65": "Other non-relative", "22": "Step and adopted child", "01": "Spouse", "51": "Daughter/son-in-law", "99": "Self", "55": "Other relative", "12": "Step and adoptive parent", "52": "Brother/sister-in-law", "30": "Biological brother/sister", "41": "Grandchild", "23": "Adopted child", "31": "Half brother/sister", "33": "Adopted brother/sister", "42": "Uncle/aunt", "43": "Nephew/niece", "25": "Other child", "32": "Step brother/sister", "11": "Stepparent", "14": "Foster parent", "02": "Unmarried partner", "15": "Other parent", "-1": "Not in Universe", "61": "Roommate/housemate", "62": "Roomer/boarder", "20": "Biological child" } } }, "A32AMT": { "label": "GI: Allocation flag for T32AMT", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Statistical imputation (hot deck)", "2": "Cold deck imputation", "4": "Statistical or logical imputation using previous wave data", "3": "Logical imputation (derivation)", "0": "Not imputed" } } }, "EFTYPE": { "label": "FA: Type of family (or pseudo-family)", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Primary family (including those with related subfamilies)", "3": "Unrelated Subfamily", "5": "Secondary individual", "4": "Primary Individual" } } }, "ETYP2TR1": { "label": "ET: Training designed to teach basic job skills.", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "-1": "Not in Universe", "1": "Yes", "2": "No" } } }, "ELBLIVNW": { "label": "FH: Place where last born child lives now", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "-1": "Not in Universe", "6": "With other relatives", "2": "In his/her own household", "10": "In correctional facility", "3": "With his/her own father", "7": "In foster care/foster family", "8": "In an institution (hospital)", "9": "In school dormitory", "11": "Deceased", "12": "Other", "14": "Refused", "1": "In this household", "4": "With his/her own grandparent(s)", "13": "Don't know", "5": "With an adoptive parent(s)" } } }, "ECKJT": { "label": "AS: Jointly owned interest earning checking account", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "2": "No", "1": "Yes", "-1": "Not in Universe" } } }, "ACDJT": { "label": "AS: Allocation flag for ECDJT", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Statistical imputation (hot deck)", "4": "Statistical or logical imputation using previous wave data", "2": "Cold deck imputation", "0": "Not imputed", "3": "Logical imputation (derivation)" } } }, "ASJADIV": { "label": "AS: Allocation flag for TSJADIV", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Statistical imputation (hot deck)", "0": "Not imputed", "3": "Logical imputation (derivation)", "2": "Cold deck imputation", "4": "Statistical or logical imputation using previous wave data", "6": "Derived from range based values" } } }, "TFRINHH": { "label": "FH: Number of children living with respondent", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "-1": "Not in Universe" }, "range": [ { "min": "0", "max": "4", "description": "Number of child(ren)" } ] } }, "EGVTRNT": { "label": "HH: Receipt of government subsidized rent", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Yes", "2": "No", "-1": "Not in Universe" } } }, "ARCVTR10": { "label": "ET: Allocation flag for ERCVTR10.", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "Not imputation", "3": "Logical imputation(derivation)", "1": "Statistical imputation(hot deck)", "2": "Cold deck" } } }, "TBSOCC1": { "label": "BS: Occupation code", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "2910": "Photographers (27-4021)", "8230": "Bookbinders and bindery workers (51-5010)", "1710": "Atmospheric and space scientists (19-2021)", "8130": "Tool and die makers (51-4111)", "8250": "Prepress technicians and workers (51-5022)", "0530": "Purchasing agents, except wholesale, retail, and farm products (13-1023)", "1740": "Environmental scientists and geoscientists (19-2040)", "2840": "Technical writers (27-3042)", "0430": "Managers, all other (11-9199)", "3600": "Nursing, psychiatric, and home health aides (31-1010)", "5900": "Office machine operators, except computer (43-9071)", "3610": "Occupational therapist assistants and aides (31-2010)", "0110": "Computer and information systems managers (11-3021)", "4950": "Door-to-door sales workers, news and street vendors, and related workers (41-9091)", "3640": "Dental assistants (31-9091)", "6910": "Roof bolters, mining (47-5061)", "6800": "Derrick, rotary drill, and service unit operators, oil, gas, and mining (47-5010)", "4760": "Retail salespersons (41-2031)", "2100": "Lawyers (23-1011)", "5600": "Production, planning, and expediting clerks (43-5061)", "5860": "Office clerks, general (43-9061)", "5620": "Stock clerks and order fillers (43-5081)", "0050": "Marketing and sales managers (11-2020)", "0060": "Public relations managers (11-2031)", "4430": "Miscellaneous entertainment attendants and related workers (39-3090)", "5400": "Receptionists and information clerks (43-4171)", "5530": "Meter readers, utilities (43-5041)", "8910": "Etchers and engravers (51-9194)", "7840": "Food batchmakers (51-3092)", "5420": "Information and record clerks, all other (43-4199)", "6750": "Septic tank servicers and sewer pipe cleaners (47-4071)", "3240": "Therapists, all other (29-1129)", "2050": "Directors, religious activities and education (21-2021)", "5330": "Loan interviewers and clerks (43-4131)", "4000": "Chefs and head cooks (35-1011)", "8600": "Power plant operators, distributors, and dispatchers (51-8010)", "3030": "Dietitians and nutritionists (29-1031)", "6430": "Paperhangers (47-2142)", "4010": "First-line supervisors/managers of food preparation and serving workers (35-1012)", "3050": "Pharmacists (29-1051)", "5240": "Customer service representatives (43-4051)", "6330": "Drywall installers, ceiling tile installers, and tapers (47-2080)", "6460": "Plasterers and stucco masons (47-2161)", "8520": "Model makers and patternmakers, wood (51-7030)", "6220": "Brickmasons, blockmasons, and stonemasons (47-2020)", "9620": "Laborers and freight, stock, and material movers, hand (53-7062)", "8650": "Crushing, grinding, polishing, mixing, and blending workers (51-9020)", "4050": "Combined food preparation and serving workers, including fast food (35-3021)", "7210": "Bus and truck mechanics and diesel engine specialists (49-3031)", "9520": "Dredge, excavating, and loading machine operators (53-7030)", "8430": "Extruding and forming machine setters, operators, and tenders, synthetic and glass fibe", "6250": "Cement masons, concrete finishers, and terrazzo workers (47-2050)", "0940": "Tax preparers (13-2082)", "8440": "Fabric and apparel patternmakers (51-6092)", "1800": "Economists (19-3011)", "8450": "Upholsterers (51-6093)", "1810": "Market and survey researchers (19-3020)", "7010": "Computer, automated teller, and office machine repairers (49-2011)", "9200": "Locomotive engineers and operators (53-4010)", "7260": "Miscellaneous vehicle and mobile equipment mechanics, installers, and repairers (49-3090", "8350": "Tailors, dressmakers, and sewers (51-6050)", "0500": "Agents and business managers of artists, performers, and athletes (13-1011)", "7040": "Electric motor, power tool, and related repairers (49-2092)", "9340": "Bridge and lock tenders (53-6011)", "9230": "Railroad brake, signal, and switch operators (53-4021)", "7050": "Electrical and electronics installers and repairers, transportation equipment (49-2093)", "8260": "Printing machine operators (51-5023)", "8140": "Welding, soldering, and brazing workers (51-4120)", "0300": "Engineering managers (11-9041)", "3830": "Fish and game wardens (33-3031)", "3840": "Parking enforcement workers (33-3041)", "0350": "Medical and health services managers (11-9111)", "1440": "Marine engineers and naval architects (17-2121)", "1560": "Surveying and mapping technicians (17-3031)", "1310": "Surveyors, cartographers, and photogrammetrists (17-1020)", "1430": "Industrial engineers, including health and safety (17-2110)", "4940": "Telemarketers (41-9041)", "0360": "Natural sciences managers (11-9121)", "1200": "Actuaries (15-2011)", "2550": "Other education, training, and library workers (25-90XX)", "4740": "Counter and rental clerks (41-2021)", "2320": "Secondary school teachers (25-2030)", "1230": "Statisticians (15-2041)", "2310": "Elementary and middle school teachers (25-2020)", "4610": "Personal and home care aides (39-9021)", "4750": "Parts salespersons (41-2022)", "5840": "Insurance claims and policy processing clerks (43-9041)", "5830": "Desktop publishers (43-9031)", "4500": "Barbers (39-5011)", "6830": "Explosives workers, ordnance handling experts, and blasters (47-5031)", "4540": "Tour and travel guides (39-6020)", "8900": "Cooling and freezing equipment operators and tenders (51-9193)", "5410": "Reservation and transportation ticket agents and travel clerks (43-4181)", "6500": "Reinforcing iron and rebar workers (47-2171)", "2140": "Paralegals and legal assistants (23-2011)", "6520": "Sheet metal workers (47-2211)", "8940": "Tire builders (51-9197)", "4350": "Nonfarm animal caretakers (39-2021)", "5560": "Postal service mail sorters, processors, and processing machine operators (43-5053)", "4120": "Food servers, nonrestaurant (35-3041)", "8720": "Extruding, forming, pressing, and compacting machine setters, operators, and tenders (51", "8860": "Cleaning, washing, and metal pickling equipment operators and tenders (51-9192)", "6320": "Operating engineers and other construction equipment operators (47-2073)", "6200": "First-line supervisors/managers of construction trades and extraction workers (47-1011)", "4030": "Food preparation workers (35-2021)", "5120": "Bookkeeping, accounting, and auditing clerks (43-3031)", "7300": "Control and valve installers and repairers (49-9010)", "9720": "Refuse and recyclable material collectors (53-7081)", "8640": "Chemical processing machine setters, operators, and tenders (51-9010)", "6100": "Fishers and related fishing workers (45-3011)", "8400": "Textile cutting machine setters, operators, and tenders (51-6062)", "9610": "Cleaners of vehicles and equipment (53-7061)", "6240": "Carpet, floor, and tile installers and finishers (47-2040)", "0930": "Tax examiners, collectors, and revenue agents (13-2081)", "8200": "Plating and coating machine setters, operators, and tenders, metal and plastic (51-4193)", "9310": "Ship and boat captains and operators (53-5020)", "8460": "Textile, apparel, and furnishings workers, all other (51-6099)", "1940": "Nuclear technicians (19-4051)", "7140": "Aircraft mechanics and service technicians (49-3011)", "0620": "Human resources, training, and labor relations specialists (13-1070)", "8240": "Job printers (51-5021)", "3900": "Animal control workers (33-9011)", "2700": "Actors (27-2011)", "0520": "Wholesale and retail buyers, except farm products (13-1022)", "9110": "Ambulance drivers and attendants, except emergency medical technicians (53-3011)", "2830": "Editors (27-3041)", "2600": "Artists and related workers (27-1010)", "2960": "Media and communication equipment workers, all other (27-4099)", "8160": "Lay-out workers, metal and plastic (51-4192)", "9130": "Driver/sales workers and truck drivers (53-3030)", "1760": "Physical scientists, all other (19-2099)", "9140": "Taxi drivers and chauffeurs (53-3041)", "0200": "Farm, ranch, and other agricultural managers (11-9011)", "2740": "Dancers and choreographers (27-2030)", "1650": "Medical scientists (19-1040)", "4800": "Advertising sales agents (41-3011)", "0340": "Lodging managers (11-9081)", "9150": "Motor vehicle operators, all other (53-3099)", "2630": "Designers (27-1020)", "0210": "Farmers and ranchers (11-9012)", "3720": "First-line supervisors/managers of fire fighting and prevention workers (33-1021)", "4930": "Sales engineers (41-9031)", "5910": "Proofreaders and copy markers (43-9081)", "4960": "Sales and related workers, all other (41-9099)", "3740": "Fire fighters (33-2011)", "5800": "Computer operators (43-9011)", "3630": "Massage therapists (31-9011)", "5930": "Office and administrative support workers, all other (43-9199)", "5820": "Word processors and typists (43-9022)", "3540": "Other healthcare practitioners and technical occupations (29-9000)", "6940": "Other extraction workers (47-50XX)", "4520": "Miscellaneous personal appearance workers (39-5090)", "3300": "Clinical laboratory technologists and technicians (29-2010)", "3320": "Diagnostic related technologists and technicians (29-2030)", "6700": "Elevator installers and repairers (47-4021)", "4420": "Ushers, lobby attendants, and ticket takers (39-3031)", "6720": "Hazardous materials removal workers (47-4041)", "7920": "Extruding and drawing machine setters, operators, and tenders, metal and plastic (51-402", "1040": "Computer support specialists (15-1041)", "4320": "First-line supervisors/managers of personal service workers (39-1021)", "3230": "Speech-language pathologists (29-1127)", "5540": "Postal service clerks (43-5051)", "7600": "Signal and track switch repairers (49-9097)", "3120": "Podiatrists (29-1081)", "2150": "Miscellaneous legal support workers (23-2090)", "1060": "Database administrators (15-1061)", "8800": "Packaging and filling machine operators and tenders (51-9111)", "7750": "Miscellaneous assemblers and fabricators (51-2090)", "6420": "Painters, construction and maintenance (47-2141)", "5100": "Bill and account collectors (43-3011)", "7520": "Commercial divers (49-9092)", "4140": "Dishwashers (35-9021)", "4020": "Cooks (35-2010)", "8620": "Water and liquid waste treatment plant and system operators (51-8031)", "3060": "Physicians and surgeons (29-1060)", "8750": "Jewelers and precious stone and metal workers (51-9071)", "5010": "Switchboard operators, including answering service (43-2011)", "6230": "Carpenters (47-2031)", "6110": "Hunters and trappers (45-3021)", "7320": "Home appliance repairers (49-9031)", "8300": "Laundry and dry-cleaning workers (51-6011)", "5150": "Procurement clerks (43-3061)", "1900": "Agricultural and food science technicians (19-4011)", "1910": "Biological technicians (19-4021)", "0700": "Logisticians (13-1081)", "7350": "Maintenance workers, machinery (49-9043)", "0710": "Management analysts (13-1111)", "0730": "Other business operations specialists (13-11XX)", "1820": "Psychologists (19-3030)", "6050": "Miscellaneous agricultural workers (45-2090)", "1840": "Urban and regional planners (19-3051)", "7160": "Automotive glass installers and repairers (49-3022)", "9350": "Parking lot attendants (53-6021)", "0410": "Property, real estate, and community association managers (11-9141)", "1510": "Nuclear engineers (17-2161)", "2720": "Athletes, coaches, umpires, and related workers (27-2020)", "8040": "Metal furnace and kiln operators and tenders (51-4050)", "1640": "Conservation scientists and foresters (19-1030)", "3940": "Crossing guards (33-9091)", "0320": "Funeral directors (11-9061)", "4920": "Real estate brokers and sales agents (41-9020)", "2760": "Entertainers and performers, sports and related workers, all other (27-2099)", "9030": "Aircraft pilots and flight engineers (53-2010)", "1420": "Environmental engineers (17-2081)", "0230": "Education administrators (11-9030)", "9040": "Air traffic controllers and airfield operations specialists (53-2020)", "3730": "Supervisors, protective service workers, all other (33-1099)", "1330": "Agricultural engineers (17-2021)", "2540": "Teacher assistants (25-9041)", "3500": "Licensed practical and licensed vocational nurses (29-2061)", "2430": "Librarians (25-4021)", "1460": "Mechanical engineers (17-2141)", "1210": "Mathematicians (15-2021)", "4600": "Child care workers (39-9011)", "5810": "Data entry keyers (43-9021)", "2440": "Library technicians (25-4031)", "5700": "Secretaries and administrative assistants (43-6010)", "1000": "Computer scientists and systems analysts (15-10XX)", "0150": "Purchasing managers (11-3061)", "1240": "Miscellaneous mathematical science occupations (15-2090)", "4620": "Recreation and fitness workers (39-9030)", "7900": "Computer control programmers and operators (51-4010)", "1020": "Computer software engineers (15-1030)", "7930": "Forging machine setters, operators, and tenders, metal and plastic (51-4022)", "5500": "Cargo and freight agents (43-5011)", "7800": "Bakers (51-3011)", "7810": "Butchers and other meat, poultry, and fish processing workers (51-3020)", "4200": "First-line supervisors/managers of housekeeping and janitorial workers (37-1011)", "7850": "Food cooking machine operators and tenders (51-3093)", "5200": "Brokerage clerks (43-4011)", "8830": "Photographic process workers and processing machine operators (51-9130)", "6660": "Construction and building inspectors (47-4011)", "5210": "Correspondence clerks (43-4021)", "7510": "Coin, vending, and amusement machine servicers and repairers (49-9091)", "8840": "Semiconductor processors (51-9141)", "3150": "Occupational therapists (29-1122)", "4250": "Grounds maintenance workers (37-3010)", "6310": "Pile-driver operators (47-2072)", "8730": "Furnace, kiln, oven, drier, and kettle operators and tenders (51-9051)", "3160": "Physical therapists (29-1123)", "5360": "Human resources assistants, except payroll and timekeeping (43-4161)", "8630": "Miscellaneous plant and system operators (51-8090)", "7430": "Precision instrument and equipment repairers (49-9060)", "6120": "Forest and conservation workers (45-4011)", "9630": "Machine feeders and offbearers (53-7063)", "6000": "First-line supervisors/managers of farming, fishing, and forestry workers (45-1010)", "9750": "Material moving workers, all other (53-7199)", "4060": "Counter attendants, cafeteria, food concession, and coffee shop (35-3022)", "6360": "Glaziers (47-2121)", "8550": "Woodworkers, all other (51-7099)", "5160": "Tellers (43-3071)", "1920": "Chemical technicians (19-4031)", "0950": "Financial specialists, all other (13-2099)", "8330": "Shoe and leather workers and repairers (51-6041)", "8210": "Tool grinders, filers, and sharpeners (51-4194)", "9420": "Other transportation workers (53-60XX)", "7360": "Millwrights (49-9044)", "8340": "Shoe machine operators and tenders (51-6042)", "8010": "Lathe and turning machine tool setters, operators, and tenders, metal and plastic (51-40", "1610": "Biological scientists (19-1020)", "1500": "Mining and geological engineers, including mining safety engineers (17-2151)", "1860": "Miscellaneous social scientists and related workers (19-3090)", "3800": "Bailiffs, correctional officers, and jailers (33-3010)", "1400": "Computer hardware engineers (17-2061)", "3700": "First-line supervisors/managers of correctional officers (33-1011)", "1410": "Electrical and electronic engineers (17-2070)", "1550": "Engineering technicians, except drafters (17-3020)", "8060": "Model makers and patternmakers, metal and plastic (51-4060)", "1300": "Architects, except naval (17-1010)", "4810": "Insurance sales agents (41-3021)", "5920": "Statistical assistants (43-9111)", "0010": "Chief executives (11-1011)", "0020": "General and operations managers (11-1021)", "1110": "Network systems and data communications analysts (15-1081)", "3520": "Opticians, dispensing (29-2081)", "2330": "Special education teachers (25-2040)", "3310": "Dental hygienists (29-2021)", "6930": "Helpers--extraction workers (47-5081)", "4530": "Baggage porters, bellhops, and concierges (39-6010)", "3200": "Radiation therapists (29-1124)", "6820": "Earth drillers, except oil and gas (47-5021)", "7950": "Cutting, punching, and press machine setters, operators, and tenders, metal and plastic", "8920": "Molders, shapers, and casters, except metal and plastic (51-9195)", "7830": "Food and tobacco roasting, baking, and drying machine operators and tenders (51-3091)", "2020": "Miscellaneous community and social service specialists (21-1090)", "8930": "Paper goods machine setters, operators, and tenders (51-9196)", "4210": "First-line supervisors/managers of landscaping, lawn service, and groundskeeping workers", "7720": "Electrical, electronics, and electromechanical assemblers (51-2020)", "6760": "Miscellaneous construction and related workers (47-4090)", "3010": "Dentists (29-1020)", "5320": "Library assistants, clerical (43-4121)", "8710": "Cutting workers (51-9030)", "7740": "Structural metal fabricators and fitters (51-2041)", "3260": "Health diagnosing and treating practitioners, all other (29-1199)", "2060": "Religious workers, all other (21-2099)", "7420": "Telecommunications line installers and repairers (49-9052)", "9730": "Shuttle car operators (53-7111)", "8760": "Medical, dental, and ophthalmic laboratory technicians (51-9080)", "9740": "Tank car, truck, and ship loaders (53-7121)", "5030": "Communications equipment operators, all other (43-2099)", "8310": "Pressers, textile, garment, and related materials (51-6021)", "7340": "Maintenance and repair workers, general (49-9042)", "7100": "Electrical and electronics repairers, industrial and utility (49-209X)", "9640": "Packers and packagers, hand (53-7064)", "7110": "Electronic equipment installers and repairers, motor vehicles (49-2096)", "6020": "Animal breeders (45-2021)", "8320": "Sewing machine operators (51-6031)", "6260": "Construction laborers (47-2061)", "0830": "Credit analysts (13-2041)", "9300": "Sailors and marine oilers (53-5011)", "0600": "Cost estimators (13-1051)", "2900": "Broadcast and sound engineering technicians and radio operators (27-4010)", "7130": "Security and fire alarm systems installers (49-2098)", "2920": "Television, video, and motion picture camera operators and editors (27-4030)", "8000": "Grinding, lapping, polishing, and buffing machine tool setters, operators, and tenders,", "8120": "Multiple machine tool setters, operators, and tenders, metal and plastic (51-4081)", "7030": "Avionics technicians (49-2091)", "1720": "Chemists and materials scientists (19-2030)", "8020": "Milling and planing machine setters, operators, and tenders, metal and plastic (51-4035)", "3920": "Security guards and gaming surveillance officers (33-9030)", "9120": "Bus drivers (53-3020)", "9360": "Service station attendants (53-6031)", "9240": "Railroad conductors and yardmasters (53-4031)", "3820": "Detectives and criminal investigators (33-3021)", "0330": "Gaming managers (11-9071)", "1540": "Drafters (17-3010)", "0220": "Construction managers (11-9021)", "4820": "Securities, commodities, and financial services sales agents (41-3031)", "1450": "Materials engineers (17-2131)", "3620": "Physical therapist assistants and aides (31-2020)", "1320": "Aerospace engineers (17-2011)", "4850": "Sales representatives, wholesale and manufacturing (41-4010)", "1220": "Operations research analysts (15-2031)", "2300": "Preschool and kindergarten teachers (25-2010)", "3510": "Medical records and health information technicians (29-2071)", "4840": "Sales representatives, services, all other (41-3099)", "3650": "Medical assistants and other healthcare support occupations (31-909X)", "3530": "Miscellaneous health technologists and technicians (29-2090)", "0140": "Industrial production managers (11-3051)", "1100": "Network and computer systems administrators (15-1071)", "5850": "Mail clerks and mail machine operators, except postal service (43-9051)", "4410": "Motion picture projectionists (39-3021)", "5510": "Couriers and messengers (43-5021)", "3210": "Recreational therapists (29-1125)", "4550": "Transportation attendants (39-6030)", "6730": "Highway maintenance workers (47-4051)", "6740": "Rail-track laying and maintenance equipment operators (47-4061)", "7710": "Aircraft structure, surfaces, rigging, and systems assemblers (51-2011)", "7960": "Drilling and boring machine tool setters, operators, and tenders, metal and plastic (51-", "8810": "Painting workers (51-9120)", "6510": "Roofers (47-2181)", "3130": "Registered nurses (29-1111)", "4110": "Waiters and waitresses (35-3031)", "6530": "Structural iron and steel workers (47-2221)", "8850": "Cementing and gluing machine operators and tenders (51-9191)", "4130": "Dining room and cafeteria attendants and bartender helpers (35-9011)", "5350": "Order clerks (43-4151)", "6440": "Pipelayers, plumbers, pipefitters, and steamfitters (47-2150)", "7540": "Locksmiths and safe repairers (49-9094)", "9600": "Industrial truck and tractor operators (53-7051)", "4040": "Bartenders (35-3011)", "7550": "Manufactured building and mobile home installers (49-9095)", "4160": "Food preparation and serving related workers, all other (35-9099)", "5140": "Payroll and timekeeping clerks (43-3051)", "8410": "Textile knitting and weaving machine setters, operators, and tenders (51-6063)", "7200": "Automotive service technicians and mechanics (49-3023)", "5260": "File Clerks (43-4071)", "0800": "Accountants and auditors (13-2011)", "8540": "Woodworking machine setters, operators, and tenders, except sawing (51-7042)", "7220": "Heavy vehicle and mobile equipment service technicians and mechanics (49-3040)", "0820": "Budget analysts (13-2031)", "0840": "Financial analysts (13-2051)", "1930": "Geological and petroleum technicians (19-4041)", "1700": "Astronomers and physicists (19-2010)", "2800": "Announcers (27-3010)", "1830": "Sociologists (19-3041)", "8360": "Textile bleaching and dyeing machine operators and tenders (51-6061)", "1600": "Agricultural and food scientists (19-1010)", "2810": "News analysts, reporters and correspondents (27-3020)", "1960": "Other life, physical, and social science technicians (19-40XX)", "0420": "Social and community service managers (11-9151)", "0540": "Claims adjusters, appraisers, examiners, and investigators (13-1030)", "4900": "Models, demonstrators, and product promoters (41-9010)", "1520": "Petroleum engineers (17-2171)", "3950": "Lifeguards and other protective service workers (33-909X)", "3860": "Transit and railroad police (33-3052)", "3850": "Police and sheriff's patrol officers (33-3051)", "4830": "Travel agents (41-3041)", "4720": "Cashiers (41-2010)", "2200": "Postsecondary teachers (25-1000)", "6920": "Roustabouts, oil and gas (47-5071)", "1010": "Computer programmers (15-1021)", "2340": "Other teachers and instructors (25-3000)", "4510": "Hairdressers, hairstylists, and cosmetologists (39-5012)", "4650": "Personal care and service workers, all other (39-9099)", "4400": "Gaming services workers (39-3010)", "5610": "Shipping, receiving, and traffic clerks (43-5071)", "5630": "Weighers, measurers, checkers, and samplers, recordkeeping (43-5111)", "6840": "Mining machine operators (47-5040)", "3220": "Respiratory therapists (29-1126)", "7700": "First-line supervisors/managers of production and operating workers (51-1011)", "5300": "Hotel, motel, and resort desk clerks (43-4081)", "4460": "Funeral service workers (39-4000)", "4340": "Animal trainers (39-2011)", "4220": "Janitors and building cleaners (37-201X)", "6400": "Insulation workers (47-2130)", "7610": "Helpers--installation, maintenance, and repair workers (49-9098)", "7620": "Other installation, maintenance, and repair workers (49-909X)", "8950": "Helpers--production workers (51-9198)", "3140": "Audiologists (29-1121)", "8960": "Production workers, all other (51-9199)", "6300": "Paving, surfacing, and tamping equipment operators (47-2071)", "5340": "New accounts clerks (43-4141)", "8610": "Stationary engineers and boiler operators (51-8021)", "3040": "Optometrists (29-1041)", "5110": "Billing and posting clerks and machine operators (43-3021)", "9840": "Persons whose current labor force status is unemployed and last job was Armed Forces", "0900": "Financial examiners (13-2061)", "5130": "Gaming cage workers (43-3041)", "5020": "Telephone operators (43-2021)", "9500": "Conveyor operators and tenders (53-7011)", "8420": "Textile winding, twisting, and drawing out machine setters, operators, and tenders (51-6", "0810": "Appraisers and assessors of real estate (13-2021)", "6010": "Agricultural inspectors (45-2011)", "6130": "Logging workers (45-4020)", "7000": "First-line supervisors/managers of mechanics, installers, and repairers (49-1011)", "0720": "Meeting and convention planners (13-1121)", "8220": "Metalworkers and plastic workers, all other (51-4199)", "6040": "Graders and sorters, agricultural products (45-2041)", "0850": "Personal financial advisors (13-2052)", "9560": "Hoist and winch operators (53-7041)", "7020": "Radio and telecommunications equipment installers and repairers (49-2020)", "0860": "Insurance underwriters (13-2053)", "7150": "Automotive body and related repairers (49-3021)", "9330": "Ship engineers (53-5031)", "0510": "Purchasing agents and buyers, farm products (13-1021)", "2820": "Public relations specialists (27-3031)", "3910": "Private detectives and investigators (33-9021)", "2710": "Producers and directors (27-2012)", "9000": "Supervisors, transportation and material moving workers (53-1000)", "8150": "Heat treating equipment setters, operators, and tenders, metal and plastic (51-4191)", "8030": "Machinists (51-4041)", "0560": "Compliance officers, except agriculture, construction, health and safety, and transporta", "0310": "Food service managers (11-9051)", "2850": "Writers and authors (27-3043)", "9260": "Subway, streetcar, and other rail transportation workers (53-40XX)", "1530": "Engineers, all other (17-2199)", "2860": "Miscellaneous media and communication workers (27-3090)", "3710": "First-line supervisors/managers of police and detectives (33-1012)", "2750": "Musicians, singers, and related workers (27-2040)", "2400": "Archivists, curators, and museum technicians (25-4010)", "0100": "Administrative services managers (11-3011)", "4700": "First-line supervisors/managers of retail sales workers (41-1011)", "3750": "Fire inspectors (33-2020)", "0120": "Financial managers (11-3031)", "4710": "First-line supervisors/managers of non-retail sales workers (41-1012)", "0130": "Human resources managers (11-3040)", "1340": "Biomedical engineers (17-2031)", "1350": "Chemical engineers (17-2041)", "3400": "Emergency medical technicians and paramedics (29-2041)", "1360": "Civil engineers (17-2051)", "3410": "Health diagnosing and treating practitioner support technicians (29-2050)", "4640": "Residential advisors (39-9041)", "0040": "Advertising and promotions managers (11-2011)", "0160": "Transportation, storage, and distribution managers (11-3071)", "4300": "First-line supervisors/managers of gaming workers (39-1010)", "2000": "Counselors (21-1010)", "6710": "Fence erectors (47-4031)", "5520": "Dispatchers (43-5030)", "7940": "Rolling machine setters, operators, and tenders, metal and plastic (51-4023)", "2010": "Social workers (21-1020)", "6600": "Helpers, construction trades (47-3010)", "3110": "Physician assistants (29-1071)", "3000": "Chiropractors (29-1011)", "5550": "Postal service mail carriers (43-5052)", "7730": "Engine and other machine assemblers (51-2031)", "5310": "Interviewers, except eligibility and loan (43-4111)", "2040": "Clergy (21-2011)", "3250": "Veterinarians (29-1131)", "4230": "Maids and housekeeping cleaners (37-2012)", "4240": "Pest control workers (37-2021)", "5220": "Court, municipal, and license clerks (43-4031)", "8740": "Inspectors, testers, sorters, samplers, and weighers (51-9061)", "5230": "Credit authorizers, checkers, and clerks (43-4041)", "-1": "Not in Universe", "7410": "Electrical power-line installers and repairers (49-9051)", "8500": "Cabinetmakers and bench carpenters (51-7011)", "4150": "Hosts and hostesses, restaurant, lounge, and coffee shop (35-9031)", "6210": "Boilermakers (47-2011)", "5000": "First-line supervisors/managers of office and administrative support workers (43-1011)", "8510": "Furniture finishers (51-7021)", "5250": "Eligibility interviewers, government programs (43-4061)", "7310": "Heating, air conditioning, and refrigeration mechanics and installers (49-9021)", "0910": "Loan counselors and officers (13-2070)", "8530": "Sawing machine setters, operators, and tenders, wood (51-7041)", "6350": "Electricians (47-2111)", "7560": "Riggers (49-9096)", "7330": "Industrial and refractory machinery mechanics (49-904X)", "9510": "Crane and tower operators (53-7021)", "9410": "Transportation inspectors (53-6051)", "9650": "Pumping station operators (53-7070)", "7120": "Electronic home entertainment equipment installers and repairers (49-2097)", "7240": "Small engine mechanics (49-3050)", "8100": "Molders and molding machine setters, operators, and tenders, metal and plastic (51-4070)" } } }, "ECSYN": { "label": "GI: Receipt of child support payments (ISS Code 28)", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "2": "No", "-1": "Not in Universe", "1": "Yes" } } }, "AJNTRNT": { "label": "AS: Allocation flag for EJNTRNT", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "Not imputed", "4": "Statistical or logical imputation using previous wave data", "1": "Statistical imputation (hot deck)", "2": "Cold deck imputation", "3": "Logical imputation (derivation)" } } }, "TBSOCC2": { "label": "BS: Occupation code", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "3040": "Optometrists (29-1041)", "8620": "Water and liquid waste treatment plant and system operators (51-8031)", "8750": "Jewelers and precious stone and metal workers (51-9071)", "5120": "Bookkeeping, accounting, and auditing clerks (43-3031)", "5250": "Eligibility interviewers, government programs (43-4061)", "7550": "Manufactured building and mobile home installers (49-9095)", "6460": "Plasterers and stucco masons (47-2161)", "6350": "Electricians (47-2111)", "7320": "Home appliance repairers (49-9031)", "7210": "Bus and truck mechanics and diesel engine specialists (49-3031)", "9750": "Material moving workers, all other (53-7199)", "8310": "Pressers, textile, garment, and related materials (51-6021)", "8320": "Sewing machine operators (51-6031)", "7010": "Computer, automated teller, and office machine repairers (49-2011)", "1830": "Sociologists (19-3041)", "7040": "Electric motor, power tool, and related repairers (49-2092)", "1500": "Mining and geological engineers, including mining safety engineers (17-2151)", "0530": "Purchasing agents, except wholesale, retail, and farm products (13-1023)", "1740": "Environmental scientists and geoscientists (19-2040)", "8160": "Lay-out workers, metal and plastic (51-4192)", "0320": "Funeral directors (11-9061)", "2860": "Miscellaneous media and communication workers (27-3090)", "4800": "Advertising sales agents (41-3011)", "0340": "Lodging managers (11-9081)", "3600": "Nursing, psychiatric, and home health aides (31-1010)", "1300": "Architects, except naval (17-1010)", "0210": "Farmers and ranchers (11-9012)", "4700": "First-line supervisors/managers of retail sales workers (41-1011)", "1330": "Agricultural engineers (17-2021)", "6840": "Mining machine operators (47-5040)", "3220": "Respiratory therapists (29-1126)", "7950": "Cutting, punching, and press machine setters, operators, and tenders, metal and plastic", "2020": "Miscellaneous community and social service specialists (21-1090)", "5300": "Hotel, motel, and resort desk clerks (43-4081)", "2150": "Miscellaneous legal support workers (23-2090)", "7850": "Food cooking machine operators and tenders (51-3093)", "7610": "Helpers--installation, maintenance, and repair workers (49-9098)", "4110": "Waiters and waitresses (35-3031)", "7620": "Other installation, maintenance, and repair workers (49-909X)", "2050": "Directors, religious activities and education (21-2021)", "6660": "Construction and building inspectors (47-4011)", "4000": "Chefs and head cooks (35-1011)", "6300": "Paving, surfacing, and tamping equipment operators (47-2071)", "4250": "Grounds maintenance workers (37-3010)", "8850": "Cementing and gluing machine operators and tenders (51-9191)", "2430": "Librarians (25-4021)", "0140": "Industrial production managers (11-3051)", "6940": "Other extraction workers (47-50XX)", "6930": "Helpers--extraction workers (47-5081)", "3320": "Diagnostic related technologists and technicians (29-2030)", "4540": "Tour and travel guides (39-6020)", "5350": "Order clerks (43-4151)", "8740": "Inspectors, testers, sorters, samplers, and weighers (51-9061)", "4150": "Hosts and hostesses, restaurant, lounge, and coffee shop (35-9031)", "8510": "Furniture finishers (51-7021)", "9630": "Machine feeders and offbearers (53-7063)", "2900": "Broadcast and sound engineering technicians and radio operators (27-4010)", "7130": "Security and fire alarm systems installers (49-2098)", "6040": "Graders and sorters, agricultural products (45-2041)", "1700": "Astronomers and physicists (19-2010)", "0730": "Other business operations specialists (13-11XX)", "3740": "Fire fighters (33-2011)", "8350": "Tailors, dressmakers, and sewers (51-6050)", "7020": "Radio and telecommunications equipment installers and repairers (49-2020)", "2800": "Announcers (27-3010)", "2920": "Television, video, and motion picture camera operators and editors (27-4030)", "8120": "Multiple machine tool setters, operators, and tenders, metal and plastic (51-4081)", "7050": "Electrical and electronics installers and repairers, transportation equipment (49-2093)", "2710": "Producers and directors (27-2012)", "1860": "Miscellaneous social scientists and related workers (19-3090)", "9120": "Bus drivers (53-3020)", "1510": "Nuclear engineers (17-2161)", "9130": "Driver/sales workers and truck drivers (53-3030)", "0310": "Food service managers (11-9051)", "1520": "Petroleum engineers (17-2171)", "0430": "Managers, all other (11-9199)", "1760": "Physical scientists, all other (19-2099)", "3830": "Fish and game wardens (33-3031)", "3710": "First-line supervisors/managers of police and detectives (33-1012)", "1420": "Environmental engineers (17-2081)", "1540": "Drafters (17-3010)", "2750": "Musicians, singers, and related workers (27-2040)", "3840": "Parking enforcement workers (33-3041)", "1560": "Surveying and mapping technicians (17-3031)", "9040": "Air traffic controllers and airfield operations specialists (53-2020)", "5910": "Proofreaders and copy markers (43-9081)", "0110": "Computer and information systems managers (11-3021)", "1200": "Actuaries (15-2011)", "4430": "Miscellaneous entertainment attendants and related workers (39-3090)", "8900": "Cooling and freezing equipment operators and tenders (51-9193)", "6500": "Reinforcing iron and rebar workers (47-2171)", "8930": "Paper goods machine setters, operators, and tenders (51-9196)", "5550": "Postal service mail carriers (43-5052)", "4220": "Janitors and building cleaners (37-201X)", "7730": "Engine and other machine assemblers (51-2031)", "3250": "Veterinarians (29-1131)", "6530": "Structural iron and steel workers (47-2221)", "8830": "Photographic process workers and processing machine operators (51-9130)", "5210": "Correspondence clerks (43-4021)", "6420": "Painters, construction and maintenance (47-2141)", "5100": "Bill and account collectors (43-3011)", "0130": "Human resources managers (11-3040)", "2550": "Other education, training, and library workers (25-90XX)", "3510": "Medical records and health information technicians (29-2071)", "4740": "Counter and rental clerks (41-2021)", "5820": "Word processors and typists (43-9022)", "4520": "Miscellaneous personal appearance workers (39-5090)", "4410": "Motion picture projectionists (39-3021)", "4420": "Ushers, lobby attendants, and ticket takers (39-3031)", "7520": "Commercial divers (49-9092)", "8730": "Furnace, kiln, oven, drier, and kettle operators and tenders (51-9051)", "3160": "Physical therapists (29-1123)", "6320": "Operating engineers and other construction equipment operators (47-2073)", "8640": "Chemical processing machine setters, operators, and tenders (51-9010)", "8520": "Model makers and patternmakers, wood (51-7030)", "9730": "Shuttle car operators (53-7111)", "8760": "Medical, dental, and ophthalmic laboratory technicians (51-9080)", "8400": "Textile cutting machine setters, operators, and tenders (51-6062)", "0800": "Accountants and auditors (13-2011)", "9510": "Crane and tower operators (53-7021)", "5150": "Procurement clerks (43-3061)", "0930": "Tax examiners, collectors, and revenue agents (13-2081)", "7100": "Electrical and electronics repairers, industrial and utility (49-209X)", "7110": "Electronic equipment installers and repairers, motor vehicles (49-2096)", "8440": "Fabric and apparel patternmakers (51-6092)", "8450": "Upholsterers (51-6093)", "1810": "Market and survey researchers (19-3020)", "1930": "Geological and petroleum technicians (19-4041)", "0720": "Meeting and convention planners (13-1121)", "4710": "First-line supervisors/managers of non-retail sales workers (41-1012)", "5800": "Computer operators (43-9011)", "7260": "Miscellaneous vehicle and mobile equipment mechanics, installers, and repairers (49-3090", "7030": "Avionics technicians (49-2091)", "0510": "Purchasing agents and buyers, farm products (13-1021)", "1600": "Agricultural and food scientists (19-1010)", "2810": "News analysts, reporters and correspondents (27-3020)", "8130": "Tool and die makers (51-4111)", "7160": "Automotive glass installers and repairers (49-3022)", "2820": "Public relations specialists (27-3031)", "9230": "Railroad brake, signal, and switch operators (53-4021)", "0410": "Property, real estate, and community association managers (11-9141)", "0540": "Claims adjusters, appraisers, examiners, and investigators (13-1030)", "0560": "Compliance officers, except agriculture, construction, health and safety, and transporta", "8040": "Metal furnace and kiln operators and tenders (51-4050)", "9140": "Taxi drivers and chauffeurs (53-3041)", "5900": "Office machine operators, except computer (43-9071)", "0230": "Education administrators (11-9030)", "3730": "Supervisors, protective service workers, all other (33-1099)", "1450": "Materials engineers (17-2131)", "3500": "Licensed practical and licensed vocational nurses (29-2061)", "7930": "Forging machine setters, operators, and tenders, metal and plastic (51-4022)", "2000": "Counselors (21-1010)", "7800": "Bakers (51-3011)", "6710": "Fence erectors (47-4031)", "5530": "Meter readers, utilities (43-5041)", "6510": "Roofers (47-2181)", "3000": "Chiropractors (29-1011)", "4460": "Funeral service workers (39-4000)", "4340": "Animal trainers (39-2011)", "3010": "Dentists (29-1020)", "8960": "Production workers, all other (51-9199)", "8600": "Power plant operators, distributors, and dispatchers (51-8010)", "5340": "New accounts clerks (43-4141)", "5220": "Court, municipal, and license clerks (43-4031)", "0020": "General and operations managers (11-1021)", "1350": "Chemical engineers (17-2041)", "5700": "Secretaries and administrative assistants (43-6010)", "5830": "Desktop publishers (43-9031)", "6920": "Roustabouts, oil and gas (47-5071)", "3310": "Dental hygienists (29-2021)", "0040": "Advertising and promotions managers (11-2011)", "2340": "Other teachers and instructors (25-3000)", "5620": "Stock clerks and order fillers (43-5081)", "6720": "Hazardous materials removal workers (47-4041)", "4020": "Cooks (35-2010)", "9840": "Persons whose current labor force status is unemployed and last job was Armed Forces", "9600": "Industrial truck and tractor operators (53-7051)", "8530": "Sawing machine setters, operators, and tenders, wood (51-7041)", "9740": "Tank car, truck, and ship loaders (53-7121)", "7560": "Riggers (49-9096)", "9620": "Laborers and freight, stock, and material movers, hand (53-7062)", "5260": "File Clerks (43-4071)", "8420": "Textile winding, twisting, and drawing out machine setters, operators, and tenders (51-6", "0810": "Appraisers and assessors of real estate (13-2021)", "8430": "Extruding and forming machine setters, operators, and tenders, synthetic and glass fiber", "9640": "Packers and packagers, hand (53-7064)", "9410": "Transportation inspectors (53-6051)", "9650": "Pumping station operators (53-7070)", "7360": "Millwrights (49-9044)", "9310": "Ship and boat captains and operators (53-5020)", "8460": "Textile, apparel, and furnishings workers, all other (51-6099)", "8240": "Job printers (51-5021)", "1720": "Chemists and materials scientists (19-2030)", "3910": "Private detectives and investigators (33-9021)", "9110": "Ambulance drivers and attendants, except emergency medical technicians (53-3011)", "8030": "Machinists (51-4041)", "1640": "Conservation scientists and foresters (19-1030)", "0200": "Farm, ranch, and other agricultural managers (11-9011)", "3720": "First-line supervisors/managers of fire fighting and prevention workers (33-1021)", "4810": "Insurance sales agents (41-3021)", "2400": "Archivists, curators, and museum technicians (25-4010)", "0100": "Administrative services managers (11-3011)", "4940": "Telemarketers (41-9041)", "0360": "Natural sciences managers (11-9121)", "7920": "Extruding and drawing machine setters, operators, and tenders, metal and plastic (51-402", "6730": "Highway maintenance workers (47-4051)", "6740": "Rail-track laying and maintenance equipment operators (47-4061)", "4320": "First-line supervisors/managers of personal service workers (39-1021)", "5410": "Reservation and transportation ticket agents and travel clerks (43-4181)", "3240": "Therapists, all other (29-1129)", "6760": "Miscellaneous construction and related workers (47-4090)", "8940": "Tire builders (51-9197)", "5560": "Postal service mail sorters, processors, and processing machine operators (43-5053)", "3260": "Health diagnosing and treating practitioners, all other (29-1199)", "5330": "Loan interviewers and clerks (43-4131)", "8840": "Semiconductor processors (51-9141)", "4850": "Sales representatives, wholesale and manufacturing (41-4010)", "1210": "Mathematicians (15-2021)", "3650": "Medical assistants and other healthcare support occupations (31-909X)", "3400": "Emergency medical technicians and paramedics (29-2041)", "4610": "Personal and home care aides (39-9021)", "0150": "Purchasing managers (11-3061)", "4760": "Retail salespersons (41-2031)", "0160": "Transportation, storage, and distribution managers (11-3071)", "4510": "Hairdressers, hairstylists, and cosmetologists (39-5012)", "4650": "Personal care and service workers, all other (39-9099)", "5860": "Office clerks, general (43-9061)", "4400": "Gaming services workers (39-3010)", "5230": "Credit authorizers, checkers, and clerks (43-4041)", "5110": "Billing and posting clerks and machine operators (43-3021)", "-1": "Not in Universe", "8500": "Cabinetmakers and bench carpenters (51-7011)", "5010": "Switchboard operators, including answering service (43-2011)", "6100": "Fishers and related fishing workers (45-3011)", "7430": "Precision instrument and equipment repairers (49-9060)", "5020": "Telephone operators (43-2021)", "7200": "Automotive service technicians and mechanics (49-3023)", "6110": "Hunters and trappers (45-3021)", "6120": "Forest and conservation workers (45-4011)", "6130": "Logging workers (45-4020)", "8550": "Woodworkers, all other (51-7099)", "6250": "Cement masons, concrete finishers, and terrazzo workers (47-2050)", "0820": "Budget analysts (13-2031)", "7350": "Maintenance workers, machinery (49-9043)", "6260": "Construction laborers (47-2061)", "0710": "Management analysts (13-1111)", "1920": "Chemical technicians (19-4031)", "8220": "Metalworkers and plastic workers, all other (51-4199)", "8100": "Molders and molding machine setters, operators, and tenders, metal and plastic (51-4070)", "1820": "Psychologists (19-3030)", "4950": "Door-to-door sales workers, news and street vendors, and related workers (41-9091)", "5920": "Statistical assistants (43-9111)", "7140": "Aircraft mechanics and service technicians (49-3011)", "0620": "Human resources, training, and labor relations specialists (13-1070)", "8000": "Grinding, lapping, polishing, and buffing machine tool setters, operators, and tenders,", "7150": "Automotive body and related repairers (49-3021)", "8360": "Textile bleaching and dyeing machine operators and tenders (51-6061)", "1960": "Other life, physical, and social science technicians (19-40XX)", "8010": "Lathe and turning machine tool setters, operators, and tenders, metal and plastic (51-40", "8250": "Prepress technicians and workers (51-5022)", "8150": "Heat treating equipment setters, operators, and tenders, metal and plastic (51-4191)", "2600": "Artists and related workers (27-1010)", "0300": "Engineering managers (11-9041)", "2840": "Technical writers (27-3042)", "4900": "Models, demonstrators, and product promoters (41-9010)", "3940": "Crossing guards (33-9091)", "3700": "First-line supervisors/managers of correctional officers (33-1011)", "9260": "Subway, streetcar, and other rail transportation workers (53-40XX)", "1530": "Engineers, all other (17-2199)", "1650": "Medical scientists (19-1040)", "2760": "Entertainers and performers, sports and related workers, all other (27-2099)", "4930": "Sales engineers (41-9031)", "1440": "Marine engineers and naval architects (17-2121)", "0220": "Construction managers (11-9021)", "1430": "Industrial engineers, including health and safety (17-2110)", "3750": "Fire inspectors (33-2020)", "2540": "Teacher assistants (25-9041)", "0060": "Public relations managers (11-2031)", "7940": "Rolling machine setters, operators, and tenders, metal and plastic (51-4023)", "6600": "Helpers, construction trades (47-3010)", "7830": "Food and tobacco roasting, baking, and drying machine operators and tenders (51-3091)", "3110": "Physician assistants (29-1071)", "6750": "Septic tank servicers and sewer pipe cleaners (47-4071)", "8810": "Painting workers (51-9120)", "3120": "Podiatrists (29-1081)", "5310": "Interviewers, except eligibility and loan (43-4111)", "6400": "Insulation workers (47-2130)", "3130": "Registered nurses (29-1111)", "4350": "Nonfarm animal caretakers (39-2021)", "4010": "First-line supervisors/managers of food preparation and serving workers (35-1012)", "3630": "Massage therapists (31-9011)", "4720": "Cashiers (41-2010)", "5930": "Office and administrative support workers, all other (43-9199)", "4600": "Child care workers (39-9011)", "5810": "Data entry keyers (43-9021)", "1110": "Network systems and data communications analysts (15-1081)", "2440": "Library technicians (25-4031)", "6910": "Roof bolters, mining (47-5061)", "4750": "Parts salespersons (41-2022)", "3540": "Other healthcare practitioners and technical occupations (29-9000)", "4640": "Residential advisors (39-9041)", "1010": "Computer programmers (15-1021)", "6830": "Explosives workers, ordnance handling experts, and blasters (47-5031)", "6700": "Elevator installers and repairers (47-4021)", "6820": "Earth drillers, except oil and gas (47-5021)", "6310": "Pile-driver operators (47-2072)", "8610": "Stationary engineers and boiler operators (51-8021)", "8860": "Cleaning, washing, and metal pickling equipment operators and tenders (51-9192)", "4140": "Dishwashers (35-9021)", "7410": "Electrical power-line installers and repairers (49-9051)", "5360": "Human resources assistants, except payroll and timekeeping (43-4161)", "5240": "Customer service representatives (43-4051)", "6330": "Drywall installers, ceiling tile installers, and tapers (47-2080)", "0900": "Financial examiners (13-2061)", "0910": "Loan counselors and officers (13-2070)", "6230": "Carpenters (47-2031)", "8650": "Crushing, grinding, polishing, mixing, and blending workers (51-9020)", "9500": "Conveyor operators and tenders (53-7011)", "8300": "Laundry and dry-cleaning workers (51-6011)", "6010": "Agricultural inspectors (45-2011)", "7220": "Heavy vehicle and mobile equipment service technicians and mechanics (49-3040)", "9520": "Dredge, excavating, and loading machine operators (53-7030)", "7340": "Maintenance and repair workers, general (49-9042)", "5160": "Tellers (43-3071)", "1910": "Biological technicians (19-4021)", "6020": "Animal breeders (45-2021)", "1800": "Economists (19-3011)", "7000": "First-line supervisors/managers of mechanics, installers, and repairers (49-1011)", "7240": "Small engine mechanics (49-3050)", "0600": "Cost estimators (13-1051)", "8340": "Shoe machine operators and tenders (51-6042)", "3620": "Physical therapist assistants and aides (31-2020)", "6050": "Miscellaneous agricultural workers (45-2090)", "9560": "Hoist and winch operators (53-7041)", "0500": "Agents and business managers of artists, performers, and athletes (13-1011)", "8020": "Milling and planing machine setters, operators, and tenders, metal and plastic (51-4035)", "8260": "Printing machine operators (51-5023)", "2850": "Writers and authors (27-3043)", "3820": "Detectives and criminal investigators (33-3021)", "1410": "Electrical and electronic engineers (17-2070)", "2740": "Dancers and choreographers (27-2030)", "4920": "Real estate brokers and sales agents (41-9020)", "9150": "Motor vehicle operators, all other (53-3099)", "4820": "Securities, commodities, and financial services sales agents (41-3031)", "4960": "Sales and related workers, all other (41-9099)", "4550": "Transportation attendants (39-6030)", "5520": "Dispatchers (43-5030)", "5400": "Receptionists and information clerks (43-4171)", "1040": "Computer support specialists (15-1041)", "4200": "First-line supervisors/managers of housekeeping and janitorial workers (37-1011)", "7710": "Aircraft structure, surfaces, rigging, and systems assemblers (51-2011)", "2140": "Paralegals and legal assistants (23-2011)", "5540": "Postal service clerks (43-5051)", "5420": "Information and record clerks, all other (43-4199)", "7960": "Drilling and boring machine tool setters, operators, and tenders, metal and plastic (51-", "7720": "Electrical, electronics, and electromechanical assemblers (51-2020)", "8800": "Packaging and filling machine operators and tenders (51-9111)", "2040": "Clergy (21-2011)", "8710": "Cutting workers (51-9030)", "7510": "Coin, vending, and amusement machine servicers and repairers (49-9091)", "3150": "Occupational therapists (29-1122)", "4130": "Dining room and cafeteria attendants and bartender helpers (35-9011)", "0010": "Chief executives (11-1011)", "4840": "Sales representatives, services, all other (41-3099)", "3530": "Miscellaneous health technologists and technicians (29-2090)", "2330": "Special education teachers (25-2040)", "1240": "Miscellaneous mathematical science occupations (15-2090)", "1360": "Civil engineers (17-2051)", "2200": "Postsecondary teachers (25-1000)", "3410": "Health diagnosing and treating practitioner support technicians (29-2050)", "6800": "Derrick, rotary drill, and service unit operators, oil, gas, and mining (47-5010)", "2100": "Lawyers (23-1011)", "3300": "Clinical laboratory technologists and technicians (29-2010)", "5600": "Production, planning, and expediting clerks (43-5061)", "4530": "Baggage porters, bellhops, and concierges (39-6010)", "3200": "Radiation therapists (29-1124)", "1020": "Computer software engineers (15-1030)", "5610": "Shipping, receiving, and traffic clerks (43-5071)", "4030": "Food preparation workers (35-2021)", "8630": "Miscellaneous plant and system operators (51-8090)", "7420": "Telecommunications line installers and repairers (49-9052)", "7540": "Locksmiths and safe repairers (49-9094)", "7300": "Control and valve installers and repairers (49-9010)", "9720": "Refuse and recyclable material collectors (53-7081)", "5130": "Gaming cage workers (43-3041)", "7310": "Heating, air conditioning, and refrigeration mechanics and installers (49-9021)", "6220": "Brickmasons, blockmasons, and stonemasons (47-2020)", "4160": "Food preparation and serving related workers, all other (35-9099)", "5140": "Payroll and timekeeping clerks (43-3051)", "8410": "Textile knitting and weaving machine setters, operators, and tenders (51-6063)", "5030": "Communications equipment operators, all other (43-2099)", "6240": "Carpet, floor, and tile installers and finishers (47-2040)", "6000": "First-line supervisors/managers of farming, fishing, and forestry workers (45-1010)", "8540": "Woodworking machine setters, operators, and tenders, except sawing (51-7042)", "1900": "Agricultural and food science technicians (19-4011)", "0700": "Logisticians (13-1081)", "0940": "Tax preparers (13-2082)", "8200": "Plating and coating machine setters, operators, and tenders, metal and plastic (51-4193)", "9300": "Sailors and marine oilers (53-5011)", "8210": "Tool grinders, filers, and sharpeners (51-4194)", "9420": "Other transportation workers (53-60XX)", "2910": "Photographers (27-4021)", "0850": "Personal financial advisors (13-2052)", "0860": "Insurance underwriters (13-2053)", "1840": "Urban and regional planners (19-3051)", "1610": "Biological scientists (19-1020)", "8140": "Welding, soldering, and brazing workers (51-4120)", "9350": "Parking lot attendants (53-6021)", "3920": "Security guards and gaming surveillance officers (33-9030)", "9000": "Supervisors, transportation and material moving workers (53-1000)", "2720": "Athletes, coaches, umpires, and related workers (27-2020)", "3950": "Lifeguards and other protective service workers (33-909X)", "0330": "Gaming managers (11-9071)", "3860": "Transit and railroad police (33-3052)", "0350": "Medical and health services managers (11-9111)", "0120": "Financial managers (11-3031)", "4300": "First-line supervisors/managers of gaming workers (39-1010)", "5510": "Couriers and messengers (43-5021)", "3210": "Recreational therapists (29-1125)", "5500": "Cargo and freight agents (43-5011)", "7810": "Butchers and other meat, poultry, and fish processing workers (51-3020)", "8920": "Molders, shapers, and casters, except metal and plastic (51-9195)", "3230": "Speech-language pathologists (29-1127)", "7700": "First-line supervisors/managers of production and operating workers (51-1011)", "4210": "First-line supervisors/managers of landscaping, lawn service, and groundskeeping workers", "6520": "Sheet metal workers (47-2211)", "4230": "Maids and housekeeping cleaners (37-2012)", "8950": "Helpers--production workers (51-9198)", "7750": "Miscellaneous assemblers and fabricators (51-2090)", "8720": "Extruding, forming, pressing, and compacting machine setters, operators, and tenders (51", "3640": "Dental assistants (31-9091)", "1220": "Operations research analysts (15-2031)", "1460": "Mechanical engineers (17-2141)", "1230": "Statisticians (15-2041)", "1100": "Network and computer systems administrators (15-1071)", "1000": "Computer scientists and systems analysts (15-10XX)", "4620": "Recreation and fitness workers (39-9030)", "4500": "Barbers (39-5011)", "5850": "Mail clerks and mail machine operators, except postal service (43-9051)", "6440": "Pipelayers, plumbers, pipefitters, and steamfitters (47-2150)", "6200": "First-line supervisors/managers of construction trades and extraction workers (47-1011)", "3050": "Pharmacists (29-1051)", "3060": "Physicians and surgeons (29-1060)", "6210": "Boilermakers (47-2011)", "5000": "First-line supervisors/managers of office and administrative support workers (43-1011)", "4040": "Bartenders (35-3011)", "9610": "Cleaners of vehicles and equipment (53-7061)", "4050": "Combined food preparation and serving workers, including fast food (35-3021)", "7330": "Industrial and refractory machinery mechanics (49-904X)", "4060": "Counter attendants, cafeteria, food concession, and coffee shop (35-3022)", "6360": "Glaziers (47-2121)", "0950": "Financial specialists, all other (13-2099)", "0830": "Credit analysts (13-2041)", "7120": "Electronic home entertainment equipment installers and repairers (49-2097)", "8330": "Shoe and leather workers and repairers (51-6041)", "0840": "Financial analysts (13-2051)", "1940": "Nuclear technicians (19-4051)", "1320": "Aerospace engineers (17-2011)", "4830": "Travel agents (41-3041)", "9200": "Locomotive engineers and operators (53-4010)", "8230": "Bookbinders and bindery workers (51-5010)", "1710": "Atmospheric and space scientists (19-2021)", "9330": "Ship engineers (53-5031)", "3900": "Animal control workers (33-9011)", "9340": "Bridge and lock tenders (53-6011)", "2700": "Actors (27-2011)", "0520": "Wholesale and retail buyers, except farm products (13-1022)", "2830": "Editors (27-3041)", "3800": "Bailiffs, correctional officers, and jailers (33-3010)", "9360": "Service station attendants (53-6031)", "9240": "Railroad conductors and yardmasters (53-4031)", "0420": "Social and community service managers (11-9151)", "2960": "Media and communication equipment workers, all other (27-4099)", "1400": "Computer hardware engineers (17-2061)", "1550": "Engineering technicians, except drafters (17-3020)", "8060": "Model makers and patternmakers, metal and plastic (51-4060)", "9030": "Aircraft pilots and flight engineers (53-2010)", "2630": "Designers (27-1020)", "3610": "Occupational therapist assistants and aides (31-2010)", "1310": "Surveyors, cartographers, and photogrammetrists (17-1020)", "3850": "Police and sheriff's patrol officers (33-3051)", "2010": "Social workers (21-1020)", "8910": "Etchers and engravers (51-9194)", "7840": "Food batchmakers (51-3092)", "7600": "Signal and track switch repairers (49-9097)", "1060": "Database administrators (15-1061)", "5320": "Library assistants, clerical (43-4121)", "5200": "Brokerage clerks (43-4011)", "7740": "Structural metal fabricators and fitters (51-2041)", "3140": "Audiologists (29-1121)", "4240": "Pest control workers (37-2021)", "4120": "Food servers, nonrestaurant (35-3041)", "3030": "Dietitians and nutritionists (29-1031)", "2060": "Religious workers, all other (21-2099)", "6430": "Paperhangers (47-2142)", "1340": "Biomedical engineers (17-2031)", "2300": "Preschool and kindergarten teachers (25-2010)", "2320": "Secondary school teachers (25-2030)", "2310": "Elementary and middle school teachers (25-2020)", "3520": "Opticians, dispensing (29-2081)", "5840": "Insurance claims and policy processing clerks (43-9041)", "7900": "Computer control programmers and operators (51-4010)", "0050": "Marketing and sales managers (11-2020)", "5630": "Weighers, measurers, checkers, and samplers, recordkeeping (43-5111)" } } }, "TBRSTATE": { "label": "MG: State or country of birth", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "036": "New York", "044": "Rhode Island", "005": "Arkansas", "008": "Colorado", "053": "Washington", "011": "DC", "056": "Wyoming", "013": "Georgia", "020": "Kansas", "029": "Missouri", "030": "Montana", "034": "New Jersey", "039": "Ohio", "564": "Southern Europe and Eastern Europe", "565": "Eastern Asia", "050": "Vermont", "570": "Central America", "024": "Maryland", "032": "Nevada", "037": "North Carolina", "038": "North Dakota", "040": "Oklahoma", "002": "Alaska", "049": "Utah", "569": "Caribbean", "571": "South America", "055": "Wisconsin", "012": "Florida", "017": "Illinois", "022": "Louisiana", "562": "Northern America", "563": "Northern Europe and Western Europe", "047": "Tennessee", "048": "Texas", "026": "Michigan", "028": "Mississippi", "033": "New Hampshire", "555": "Elsewhere", "-1": "Not in Universe", "041": "Oregon", "001": "Alabama", "566": "South Central Asia", "051": "Virginia", "010": "Delaware", "025": "Massachusetts", "031": "Nebraska", "054": "West Virginia", "016": "Idaho", "018": "Indiana", "006": "California", "015": "Hawaii", "019": "Iowa", "021": "Kentucky", "023": "Maine", "035": "New Mexico", "042": "Pennsylvania", "045": "South Carolina", "046": "South Dakota", "004": "Arizona", "567": "South East Asia, West Asia, Australia, New Zealand", "568": "Africa", "009": "Connecticut", "027": "Minnesota" } } }, "AMANYCHK": { "label": "AS: Allocation flag for EMANYCHK", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "Not imputed", "4": "Statistical or logical imputation using previous wave data", "2": "Cold deck imputation", "1": "Statistical imputation (hot deck)", "3": "Logical imputation (derivation)" } } }, "T36AMT": { "label": "GI: Amount of income from paid-up life insurance policy", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "None or not in universe" }, "range": [ { "min": "1", "max": "20000", "description": "Amount in dollars" } ] } }, "APNGUARD": { "label": "PE: Allocation flag for EPNGUARD", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Statistical imputation (hot deck)", "4": "Statistical or logical imputation using previous wave data", "0": "Not imputed", "2": "Cold deck imputation", "3": "Logical imputation (derivation)" } } }, "RESTARSN": { "label": "GI: Reason for receiving income from estates and trusts", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "8": "No payment received", "-1": "Not in Universe", "3": "Survivor" } } }, "ERELAT27": { "label": "RL: The 27th person in the hh is this person's [blank].", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "31": "Half brother/sister", "99": "Self", "15": "Other parent", "40": "Grandparent", "43": "Nephew/niece", "-1": "Not in Universe", "20": "Biological child", "02": "Unmarried partner", "14": "Foster parent", "23": "Adopted child", "01": "Spouse", "30": "Biological brother/sister", "10": "Biological parent", "33": "Adopted brother/sister", "34": "Other brother/sister", "12": "Step and adoptive parent", "13": "Adoptive parent", "63": "Paid employee", "41": "Grandchild", "25": "Other child", "21": "Stepchild", "51": "Daughter/son-in-law", "55": "Other relative", "61": "Roommate/housemate", "52": "Brother/sister-in-law", "11": "Stepparent", "62": "Roomer/boarder", "65": "Other non-relative", "22": "Step and adopted child", "24": "Foster child", "50": "Father/mother-in-law", "32": "Step brother/sister", "42": "Uncle/aunt" } } }, "AR64": { "label": "GI: Allocation flag for ER64", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Statistical imputation (hot deck)", "0": "Not imputed", "3": "Logical imputation (derivation)", "2": "Cold deck imputation", "4": "Statistical or logical imputation using previous wave data" } } }, "ERELAT28": { "label": "RL: The 28th person in the hh is this person's [blank].", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "51": "Daughter/son-in-law", "13": "Adoptive parent", "23": "Adopted child", "52": "Brother/sister-in-law", "33": "Adopted brother/sister", "43": "Nephew/niece", "22": "Step and adopted child", "31": "Half brother/sister", "11": "Stepparent", "12": "Step and adoptive parent", "14": "Foster parent", "61": "Roommate/housemate", "20": "Biological child", "65": "Other non-relative", "24": "Foster child", "25": "Other child", "32": "Step brother/sister", "10": "Biological parent", "15": "Other parent", "40": "Grandparent", "41": "Grandchild", "01": "Spouse", "50": "Father/mother-in-law", "99": "Self", "34": "Other brother/sister", "-1": "Not in Universe", "62": "Roomer/boarder", "42": "Uncle/aunt", "02": "Unmarried partner", "30": "Biological brother/sister", "55": "Other relative", "63": "Paid employee", "21": "Stepchild" } } }, "AR61": { "label": "GI: Allocation flag for ER61", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "Not imputed", "3": "Logical imputation (derivation)", "4": "Statistical or logical imputation using previous wave data", "1": "Statistical imputation (hot deck)", "2": "Cold deck imputation" } } }, "ERELAT29": { "label": "RL: The 29th person in the hh is this person's [blank].", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "52": "Brother/sister-in-law", "33": "Adopted brother/sister", "15": "Other parent", "42": "Uncle/aunt", "43": "Nephew/niece", "23": "Adopted child", "22": "Step and adopted child", "11": "Stepparent", "51": "Daughter/son-in-law", "30": "Biological brother/sister", "62": "Roomer/boarder", "01": "Spouse", "31": "Half brother/sister", "10": "Biological parent", "55": "Other relative", "12": "Step and adoptive parent", "61": "Roommate/housemate", "40": "Grandparent", "63": "Paid employee", "32": "Step brother/sister", "21": "Stepchild", "25": "Other child", "50": "Father/mother-in-law", "99": "Self", "34": "Other brother/sister", "13": "Adoptive parent", "14": "Foster parent", "-1": "Not in Universe", "41": "Grandchild", "20": "Biological child", "24": "Foster child", "02": "Unmarried partner", "65": "Other non-relative" } } }, "AR62": { "label": "GI: Allocation flag for ER62", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Statistical imputation (hot deck)", "2": "Cold deck imputation", "4": "Statistical or logical imputation using previous wave data", "3": "Logical imputation (derivation)", "0": "Not imputed" } } }, "ERELAT23": { "label": "RL: The 23rd person in the hh is this person's [blank].", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "15": "Other parent", "63": "Paid employee", "65": "Other non-relative", "50": "Father/mother-in-law", "32": "Step brother/sister", "33": "Adopted brother/sister", "11": "Stepparent", "14": "Foster parent", "61": "Roommate/housemate", "40": "Grandparent", "25": "Other child", "99": "Self", "12": "Step and adoptive parent", "51": "Daughter/son-in-law", "13": "Adoptive parent", "41": "Grandchild", "43": "Nephew/niece", "24": "Foster child", "02": "Unmarried partner", "55": "Other relative", "42": "Uncle/aunt", "30": "Biological brother/sister", "21": "Stepchild", "22": "Step and adopted child", "01": "Spouse", "31": "Half brother/sister", "-1": "Not in Universe", "62": "Roomer/boarder", "23": "Adopted child", "52": "Brother/sister-in-law", "10": "Biological parent", "34": "Other brother/sister", "20": "Biological child" } } }, "ERELAT24": { "label": "RL: The 24th person in the hh is this person's [blank].", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "30": "Biological brother/sister", "15": "Other parent", "20": "Biological child", "01": "Spouse", "02": "Unmarried partner", "25": "Other child", "51": "Daughter/son-in-law", "22": "Step and adopted child", "32": "Step brother/sister", "42": "Uncle/aunt", "65": "Other non-relative", "23": "Adopted child", "34": "Other brother/sister", "40": "Grandparent", "52": "Brother/sister-in-law", "31": "Half brother/sister", "33": "Adopted brother/sister", "12": "Step and adoptive parent", "13": "Adoptive parent", "24": "Foster child", "50": "Father/mother-in-law", "10": "Biological parent", "-1": "Not in Universe", "61": "Roommate/housemate", "62": "Roomer/boarder", "41": "Grandchild", "55": "Other relative", "11": "Stepparent", "14": "Foster parent", "63": "Paid employee", "43": "Nephew/niece", "99": "Self", "21": "Stepchild" } } }, "AWELAC23": { "label": "GI: Allocation flag for EWELAC23", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "No imputation", "3": "Logical imputation (derivation)", "1": "Statistical imputation (hot deck)", "4": "Imputed from the previous wave", "2": "Cold deck" } } }, "ERELAT25": { "label": "RL: The 25th person in the hh is this person's [blank].", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "52": "Brother/sister-in-law", "55": "Other relative", "33": "Adopted brother/sister", "40": "Grandparent", "63": "Paid employee", "42": "Uncle/aunt", "65": "Other non-relative", "50": "Father/mother-in-law", "12": "Step and adoptive parent", "14": "Foster parent", "21": "Stepchild", "32": "Step brother/sister", "34": "Other brother/sister", "41": "Grandchild", "23": "Adopted child", "24": "Foster child", "13": "Adoptive parent", "62": "Roomer/boarder", "43": "Nephew/niece", "02": "Unmarried partner", "61": "Roommate/housemate", "25": "Other child", "51": "Daughter/son-in-law", "10": "Biological parent", "11": "Stepparent", "30": "Biological brother/sister", "31": "Half brother/sister", "15": "Other parent", "-1": "Not in Universe", "20": "Biological child", "22": "Step and adopted child", "01": "Spouse", "99": "Self" } } }, "ERELAT26": { "label": "RL: The 26th person in the hh is this person's [blank].", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "50": "Father/mother-in-law", "30": "Biological brother/sister", "55": "Other relative", "33": "Adopted brother/sister", "-1": "Not in Universe", "61": "Roommate/housemate", "62": "Roomer/boarder", "65": "Other non-relative", "22": "Step and adopted child", "23": "Adopted child", "52": "Brother/sister-in-law", "01": "Spouse", "02": "Unmarried partner", "10": "Biological parent", "14": "Foster parent", "42": "Uncle/aunt", "20": "Biological child", "51": "Daughter/son-in-law", "32": "Step brother/sister", "99": "Self", "11": "Stepparent", "12": "Step and adoptive parent", "63": "Paid employee", "41": "Grandchild", "21": "Stepchild", "25": "Other child", "31": "Half brother/sister", "34": "Other brother/sister", "13": "Adoptive parent", "40": "Grandparent", "43": "Nephew/niece", "15": "Other parent", "24": "Foster child" } } }, "ERELAT20": { "label": "RL: The 20th person in the hh is this person's [blank].", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "23": "Adopted child", "32": "Step brother/sister", "22": "Step and adopted child", "01": "Spouse", "24": "Foster child", "50": "Father/mother-in-law", "31": "Half brother/sister", "10": "Biological parent", "12": "Step and adoptive parent", "14": "Foster parent", "43": "Nephew/niece", "61": "Roommate/housemate", "62": "Roomer/boarder", "63": "Paid employee", "51": "Daughter/son-in-law", "55": "Other relative", "33": "Adopted brother/sister", "42": "Uncle/aunt", "65": "Other non-relative", "21": "Stepchild", "15": "Other parent", "20": "Biological child", "99": "Self", "11": "Stepparent", "40": "Grandparent", "41": "Grandchild", "13": "Adoptive parent", "-1": "Not in Universe", "02": "Unmarried partner", "25": "Other child", "52": "Brother/sister-in-law", "30": "Biological brother/sister", "34": "Other brother/sister" } } }, "AHICOST": { "label": "HI: Allocation flag for EHICOST", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "3": "Logical imputation (derivation)", "1": "Statistical imputation (hot deck)", "2": "Cold deck imputation", "4": "Statistical or logical imputation using previous wave data", "0": "Not imputed" } } }, "ERELAT21": { "label": "RL: The 21st person in the hh is this person's [blank].", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "22": "Step and adopted child", "23": "Adopted child", "31": "Half brother/sister", "01": "Spouse", "50": "Father/mother-in-law", "34": "Other brother/sister", "40": "Grandparent", "63": "Paid employee", "42": "Uncle/aunt", "20": "Biological child", "55": "Other relative", "12": "Step and adoptive parent", "41": "Grandchild", "21": "Stepchild", "13": "Adoptive parent", "43": "Nephew/niece", "24": "Foster child", "25": "Other child", "52": "Brother/sister-in-law", "11": "Stepparent", "14": "Foster parent", "15": "Other parent", "32": "Step brother/sister", "10": "Biological parent", "-1": "Not in Universe", "61": "Roommate/housemate", "02": "Unmarried partner", "51": "Daughter/son-in-law", "99": "Self", "62": "Roomer/boarder", "30": "Biological brother/sister", "33": "Adopted brother/sister", "65": "Other non-relative" } } }, "ERELAT22": { "label": "RL: The 22nd person in the hh is this person's [blank].", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "50": "Father/mother-in-law", "51": "Daughter/son-in-law", "33": "Adopted brother/sister", "34": "Other brother/sister", "10": "Biological parent", "52": "Brother/sister-in-law", "20": "Biological child", "24": "Foster child", "02": "Unmarried partner", "25": "Other child", "32": "Step brother/sister", "12": "Step and adoptive parent", "15": "Other parent", "-1": "Not in Universe", "61": "Roommate/housemate", "62": "Roomer/boarder", "43": "Nephew/niece", "23": "Adopted child", "99": "Self", "63": "Paid employee", "41": "Grandchild", "22": "Step and adopted child", "30": "Biological brother/sister", "55": "Other relative", "13": "Adoptive parent", "42": "Uncle/aunt", "11": "Stepparent", "40": "Grandparent", "21": "Stepchild", "01": "Spouse", "31": "Half brother/sister", "14": "Foster parent", "65": "Other non-relative" } } }, "RWB2R1": { "label": "GI: First reason for applying for WIC the 2nd time", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "New child (or other dependent) or pregnancy", "3": "Job loss or wages reduced", "5": "Became disabled or otherwise unable to work", "7": "No change - just heard about the program", "2": "Separation, divorced or widowed", "6": "No change - just decided it was time", "-1": "Not in Universe", "8": "Needed to re-certify", "9": "Other", "4": "Loss or reduction of other income" } } }, "RWB2R2": { "label": "GI: Second reason for applying for WIC the 2nd time", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "3": "Job loss or wages reduced", "8": "Needed to re-certify", "1": "New child (or other dependent) or pregnancy", "5": "Became disabled or otherwise unable to work", "6": "No change - just decided it was time", "7": "No change - just heard about the program", "4": "Loss or reduction of other income", "9": "Other", "-1": "Not in Universe", "2": "Separation, divorced or widowed" } } }, "WPFINWGT": { "label": "WW: Person weight", "predicateType": "int", "group": "N/A", "limit": 0, "is-weight": true, "values": { "range": [ { "min": "0.0", "max": "99999.9999", "description": "Final person weight" } ] } }, "AWELAC21": { "label": "GI: Allocation flag for EWELAC21", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Statistical imputation (hot deck)", "3": "Logical imputation (derivation)", "0": "No imputation", "2": "Cold deck imputation", "4": "Imputed from the previous wave" } } }, "AWELAC22": { "label": "GI: Allocation flag for EWELAC22", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Statistical imputation (hot deck)", "2": "Cold deck imputation", "4": "Imputed from the previous wave", "0": "No imputation", "3": "Logical imputation (derivation)" } } }, "ARENDB2": { "label": "BS: Allocation flag for ERENDB2", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Statistical imputation(hot deck)", "3": "Logical imputation(derivation)", "4": "Statistical or logical imputation using previous wave data", "0": "Not imputed", "2": "Cold deck imputation" } } }, "AEGYAST": { "label": "HH: Allocation Flag for EEGYAST", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "4": "Statistical or logical imputation using previous wave data", "2": "Cold deck imputation", "0": "Not imputed", "1": "Statistical imputation (hot deck)", "3": "Logical imputation (derivation)" } } }, "ARENDB1": { "label": "BS: Allocation flag for ERENDB1", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "4": "Statistical or logical imputation using previous wave data", "1": "Statistical imputation(hot deck)", "2": "Cold deck imputation", "0": "Not imputed", "3": "Logical imputation(derivation)" } } }, "A20AMT": { "label": "GI: Allocation flag for T20AMT", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "2": "Cold deck imputation", "0": "Not imputed", "3": "Logical imputation (derivation)", "1": "Statistical imputation (hot deck)", "4": "Statistical or logical imputation using previous wave data" } } }, "ASSYEAR": { "label": "MH: Allocation flag for TSSYEAR", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Statistical imputation(hot deck)", "0": "Not imputed", "3": "Logical imputation(derivation)", "2": "Cold deck" } } }, "AOUTINYR": { "label": "MG: Allocation flag for TOUTINYR", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "2": "Cold deck", "0": "Not imputed", "1": "Statistical imputation(hot deck)", "3": "Logical imputation(derivation)" } } }, "ESOKLT18": { "label": "SF: Number of own children under 18 in related subfamily", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "No children", "-1": "Not in Universe" }, "range": [ { "min": "1", "max": "30", "description": "Number of children" } ] } }, "ERELAT16": { "label": "RL: The 16th person in the hh is this person's [blank].", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "01": "Spouse", "50": "Father/mother-in-law", "10": "Biological parent", "14": "Foster parent", "41": "Grandchild", "11": "Stepparent", "42": "Uncle/aunt", "43": "Nephew/niece", "22": "Step and adopted child", "30": "Biological brother/sister", "55": "Other relative", "15": "Other parent", "61": "Roommate/housemate", "62": "Roomer/boarder", "40": "Grandparent", "63": "Paid employee", "25": "Other child", "34": "Other brother/sister", "20": "Biological child", "23": "Adopted child", "51": "Daughter/son-in-law", "31": "Half brother/sister", "32": "Step brother/sister", "12": "Step and adoptive parent", "13": "Adoptive parent", "65": "Other non-relative", "52": "Brother/sister-in-law", "99": "Self", "21": "Stepchild", "24": "Foster child", "02": "Unmarried partner", "33": "Adopted brother/sister", "-1": "Not in Universe" } } }, "AR75": { "label": "GI: Allocation flag for ER75", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "Not imputed", "1": "Statistical imputation (hot deck)", "2": "Cold deck imputation", "3": "Logical imputation (derivation)", "4": "Statistical or logical imputation using previous wave data" } } }, "ERELAT17": { "label": "RL: The 17th person in the hh is this person's [blank].", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "99": "Self", "41": "Grandchild", "20": "Biological child", "65": "Other non-relative", "23": "Adopted child", "02": "Unmarried partner", "11": "Stepparent", "14": "Foster parent", "43": "Nephew/niece", "25": "Other child", "30": "Biological brother/sister", "32": "Step brother/sister", "55": "Other relative", "33": "Adopted brother/sister", "34": "Other brother/sister", "15": "Other parent", "52": "Brother/sister-in-law", "31": "Half brother/sister", "61": "Roommate/housemate", "24": "Foster child", "50": "Father/mother-in-law", "42": "Uncle/aunt", "62": "Roomer/boarder", "40": "Grandparent", "63": "Paid employee", "22": "Step and adopted child", "01": "Spouse", "51": "Daughter/son-in-law", "-1": "Not in Universe", "21": "Stepchild", "10": "Biological parent", "12": "Step and adoptive parent", "13": "Adoptive parent" } } }, "TJACLR2": { "label": "AS: Amount of net income from rental property with others", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "None or not in universe" }, "range": [ { "min": "-5600", "max": "24000", "description": "Dollars" } ] } }, "TLMTYR": { "label": "WD: Year the person's work limition began", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "-1": "Not in Universe", "-4": "Person became limited before age 16" }, "range": [ { "min": "1979", "max": "2009", "description": "Year the person became limited" } ] } }, "ERELAT18": { "label": "RL: The 18th person in the hh is this person's [blank].", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "25": "Other child", "24": "Foster child", "02": "Unmarried partner", "31": "Half brother/sister", "32": "Step brother/sister", "-1": "Not in Universe", "52": "Brother/sister-in-law", "10": "Biological parent", "99": "Self", "55": "Other relative", "34": "Other brother/sister", "63": "Paid employee", "42": "Uncle/aunt", "50": "Father/mother-in-law", "12": "Step and adoptive parent", "14": "Foster parent", "15": "Other parent", "62": "Roomer/boarder", "40": "Grandparent", "43": "Nephew/niece", "11": "Stepparent", "13": "Adoptive parent", "41": "Grandchild", "23": "Adopted child", "33": "Adopted brother/sister", "20": "Biological child", "65": "Other non-relative", "22": "Step and adopted child", "21": "Stepchild", "01": "Spouse", "51": "Daughter/son-in-law", "30": "Biological brother/sister", "61": "Roommate/housemate" } } }, "ERELAT19": { "label": "RL: The 19th person in the hh is this person's [blank].", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "50": "Father/mother-in-law", "11": "Stepparent", "20": "Biological child", "43": "Nephew/niece", "25": "Other child", "62": "Roomer/boarder", "41": "Grandchild", "65": "Other non-relative", "21": "Stepchild", "51": "Daughter/son-in-law", "52": "Brother/sister-in-law", "99": "Self", "24": "Foster child", "15": "Other parent", "-1": "Not in Universe", "02": "Unmarried partner", "33": "Adopted brother/sister", "14": "Foster parent", "61": "Roommate/housemate", "22": "Step and adopted child", "42": "Uncle/aunt", "01": "Spouse", "32": "Step brother/sister", "10": "Biological parent", "34": "Other brother/sister", "13": "Adoptive parent", "63": "Paid employee", "23": "Adopted child", "30": "Biological brother/sister", "31": "Half brother/sister", "55": "Other relative", "12": "Step and adoptive parent", "40": "Grandparent" } } }, "AAST1A": { "label": "AS: Allocation flag for EAST1A", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "4": "Statistical or logical imputation using previous wave data", "2": "Cold deck imputation", "0": "Not imputed", "1": "Statistical imputation (hot deck)", "3": "Logical imputation (derivation)" } } }, "ERELAT12": { "label": "RL: The 12th person in the hh is this person's [blank].", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "12": "Step and adoptive parent", "14": "Foster parent", "21": "Stepchild", "22": "Step and adopted child", "51": "Daughter/son-in-law", "31": "Half brother/sister", "24": "Foster child", "40": "Grandparent", "41": "Grandchild", "23": "Adopted child", "02": "Unmarried partner", "10": "Biological parent", "33": "Adopted brother/sister", "15": "Other parent", "25": "Other child", "50": "Father/mother-in-law", "11": "Stepparent", "13": "Adoptive parent", "-1": "Not in Universe", "61": "Roommate/housemate", "63": "Paid employee", "20": "Biological child", "65": "Other non-relative", "01": "Spouse", "52": "Brother/sister-in-law", "55": "Other relative", "62": "Roomer/boarder", "42": "Uncle/aunt", "43": "Nephew/niece", "30": "Biological brother/sister", "34": "Other brother/sister", "32": "Step brother/sister", "99": "Self" } } }, "ERELAT13": { "label": "RL: The 13th person in the hh is this person's [blank].", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "24": "Foster child", "02": "Unmarried partner", "22": "Step and adopted child", "31": "Half brother/sister", "10": "Biological parent", "62": "Roomer/boarder", "42": "Uncle/aunt", "43": "Nephew/niece", "30": "Biological brother/sister", "99": "Self", "40": "Grandparent", "63": "Paid employee", "41": "Grandchild", "20": "Biological child", "25": "Other child", "32": "Step brother/sister", "61": "Roommate/housemate", "51": "Daughter/son-in-law", "55": "Other relative", "34": "Other brother/sister", "-1": "Not in Universe", "21": "Stepchild", "52": "Brother/sister-in-law", "11": "Stepparent", "12": "Step and adoptive parent", "14": "Foster parent", "65": "Other non-relative", "23": "Adopted child", "01": "Spouse", "50": "Father/mother-in-law", "33": "Adopted brother/sister", "13": "Adoptive parent", "15": "Other parent" } } }, "AAST1C": { "label": "AS: Allocation flag for EAST1C", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "3": "Logical imputation (derivation)", "2": "Cold deck imputation", "1": "Statistical imputation (hot deck)", "4": "Statistical or logical imputation using previous wave data", "0": "Not imputed" } } }, "ERELAT14": { "label": "RL: The 14th person in the hh is this person's [blank].", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "15": "Other parent", "22": "Step and adopted child", "11": "Stepparent", "12": "Step and adoptive parent", "14": "Foster parent", "41": "Grandchild", "21": "Stepchild", "01": "Spouse", "52": "Brother/sister-in-law", "31": "Half brother/sister", "10": "Biological parent", "61": "Roommate/housemate", "62": "Roomer/boarder", "30": "Biological brother/sister", "32": "Step brother/sister", "55": "Other relative", "20": "Biological child", "65": "Other non-relative", "25": "Other child", "40": "Grandparent", "23": "Adopted child", "24": "Foster child", "13": "Adoptive parent", "-1": "Not in Universe", "63": "Paid employee", "50": "Father/mother-in-law", "34": "Other brother/sister", "43": "Nephew/niece", "02": "Unmarried partner", "51": "Daughter/son-in-law", "99": "Self", "33": "Adopted brother/sister", "42": "Uncle/aunt" } } }, "AAST1B": { "label": "AS: Allocation flag for EAST1B", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "Not imputed", "2": "Cold deck imputation", "3": "Logical imputation (derivation)", "4": "Statistical or logical imputation using previous wave data", "1": "Statistical imputation (hot deck)" } } }, "ERELAT15": { "label": "RL: The 15th person in the hh is this person's [blank].", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "22": "Step and adopted child", "10": "Biological parent", "61": "Roommate/housemate", "21": "Stepchild", "01": "Spouse", "25": "Other child", "52": "Brother/sister-in-law", "31": "Half brother/sister", "33": "Adopted brother/sister", "24": "Foster child", "02": "Unmarried partner", "11": "Stepparent", "20": "Biological child", "32": "Step brother/sister", "99": "Self", "15": "Other parent", "-1": "Not in Universe", "65": "Other non-relative", "23": "Adopted child", "12": "Step and adoptive parent", "14": "Foster parent", "41": "Grandchild", "43": "Nephew/niece", "50": "Father/mother-in-law", "51": "Daughter/son-in-law", "13": "Adoptive parent", "62": "Roomer/boarder", "40": "Grandparent", "30": "Biological brother/sister", "63": "Paid employee", "42": "Uncle/aunt", "55": "Other relative", "34": "Other brother/sister" } } }, "ALIFIRSN": { "label": "GI: Allocation flag for RLIFIRSN", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Statistical imputation (hot deck)", "4": "Statistical or logical imputation using previous wave data", "0": "Not imputed", "2": "Cold deck imputation", "3": "Logical imputation (derivation)" } } }, "RCUOW21B": { "label": "PE: Person number of second owner of Gen Assist coverage", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "Not In Universe" }, "range": [ { "min": "101", "max": "1399", "description": "Person number" } ] } }, "RWCMPRSN": { "label": "GI: Reason for receipt of workers' compensation", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "8": "No payment", "5": "Disability and Suvivor", "1": "Disability", "3": "Suvivor", "-1": "Not in Universe" } } }, "RCUOW21A": { "label": "PE: Person number of first owner of Gen Assist coverage", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "Not In Universe" }, "range": [ { "min": "101", "max": "1399", "description": "Person number" } ] } }, "ETYP1TR": { "label": "ET: What most recent wrk training designed to accomplish", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "To help ... in looking for a job(ex:job search skills)", "2": "To teach ... skills for a specific job/career", "-1": "Not in Universe" } } }, "ERELAT10": { "label": "RL: The 10th person in the hh is this person's [blank].", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "50": "Father/mother-in-law", "51": "Daughter/son-in-law", "32": "Step brother/sister", "10": "Biological parent", "55": "Other relative", "13": "Adoptive parent", "43": "Nephew/niece", "23": "Adopted child", "01": "Spouse", "25": "Other child", "52": "Brother/sister-in-law", "99": "Self", "11": "Stepparent", "12": "Step and adoptive parent", "02": "Unmarried partner", "-1": "Not in Universe", "21": "Stepchild", "22": "Step and adopted child", "33": "Adopted brother/sister", "34": "Other brother/sister", "61": "Roommate/housemate", "62": "Roomer/boarder", "63": "Paid employee", "65": "Other non-relative", "14": "Foster parent", "24": "Foster child", "30": "Biological brother/sister", "15": "Other parent", "40": "Grandparent", "42": "Uncle/aunt", "31": "Half brother/sister", "41": "Grandchild", "20": "Biological child" } } }, "ERELAT11": { "label": "RL: The 11th person in the hh is this person's [blank].", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "20": "Biological child", "43": "Nephew/niece", "01": "Spouse", "25": "Other child", "30": "Biological brother/sister", "31": "Half brother/sister", "15": "Other parent", "62": "Roomer/boarder", "65": "Other non-relative", "55": "Other relative", "33": "Adopted brother/sister", "12": "Step and adoptive parent", "40": "Grandparent", "22": "Step and adopted child", "13": "Adoptive parent", "41": "Grandchild", "21": "Stepchild", "24": "Foster child", "02": "Unmarried partner", "51": "Daughter/son-in-law", "32": "Step brother/sister", "11": "Stepparent", "63": "Paid employee", "52": "Brother/sister-in-law", "99": "Self", "-1": "Not in Universe", "42": "Uncle/aunt", "23": "Adopted child", "50": "Father/mother-in-law", "10": "Biological parent", "34": "Other brother/sister", "14": "Foster parent", "61": "Roommate/housemate" } } }, "ADISPREV": { "label": "LF: Allocation flag for EDISPREV", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "3": "Logical imputation(derivation)", "0": "Not imputed", "2": "Cold deck imputation", "1": "Statistical imputation(hot deck)", "4": "Statistical or logical imputation using previous wave data" } } }, "GVARSTR": { "label": "SU: Variance Stratum Code", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "range": [ { "min": "1", "max": "114", "description": "Stratum Code" } ] } }, "EPPFLAG": { "label": "LF: Flag denoting imputation of labor force data", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Yes", "-1": "Not applicable" } } }, "TSOWNADV": { "label": "AS: Amount of dividend credited solely held margin accnt", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "None or not in universe" }, "range": [ { "min": "1", "max": "4000", "description": "Dollars" } ] } }, "ERELAT09": { "label": "RL: The 9th person in the hh is this person's [blank].", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "51": "Daughter/son-in-law", "99": "Self", "11": "Stepparent", "12": "Step and adoptive parent", "42": "Uncle/aunt", "55": "Other relative", "34": "Other brother/sister", "14": "Foster parent", "40": "Grandparent", "63": "Paid employee", "33": "Adopted brother/sister", "15": "Other parent", "24": "Foster child", "31": "Half brother/sister", "-1": "Not in Universe", "50": "Father/mother-in-law", "32": "Step brother/sister", "10": "Biological parent", "21": "Stepchild", "02": "Unmarried partner", "52": "Brother/sister-in-law", "43": "Nephew/niece", "22": "Step and adopted child", "13": "Adoptive parent", "41": "Grandchild", "23": "Adopted child", "01": "Spouse", "25": "Other child", "30": "Biological brother/sister", "61": "Roommate/housemate", "62": "Roomer/boarder", "20": "Biological child", "65": "Other non-relative" } } }, "ABRSTATE": { "label": "MG: Allocation flag for TBRSTATE", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "3": "Logical imputation(derivation)", "2": "Cold deck", "0": "Not imputed", "1": "Statistical imputation(hot deck)" } } }, "ERELAT05": { "label": "RL: The 5th person in the hh is this person's [blank].", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "31": "Half brother/sister", "61": "Roommate/housemate", "63": "Paid employee", "24": "Foster child", "02": "Unmarried partner", "51": "Daughter/son-in-law", "52": "Brother/sister-in-law", "32": "Step brother/sister", "55": "Other relative", "14": "Foster parent", "43": "Nephew/niece", "21": "Stepchild", "13": "Adoptive parent", "22": "Step and adopted child", "99": "Self", "11": "Stepparent", "12": "Step and adoptive parent", "42": "Uncle/aunt", "50": "Father/mother-in-law", "34": "Other brother/sister", "15": "Other parent", "41": "Grandchild", "23": "Adopted child", "-1": "Not in Universe", "62": "Roomer/boarder", "40": "Grandparent", "01": "Spouse", "25": "Other child", "33": "Adopted brother/sister", "20": "Biological child", "65": "Other non-relative", "30": "Biological brother/sister", "10": "Biological parent" } } }, "ERELAT06": { "label": "RL: The 6th person in the hh is this person's [blank].", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "12": "Step and adoptive parent", "15": "Other parent", "62": "Roomer/boarder", "22": "Step and adopted child", "02": "Unmarried partner", "50": "Father/mother-in-law", "13": "Adoptive parent", "63": "Paid employee", "52": "Brother/sister-in-law", "34": "Other brother/sister", "14": "Foster parent", "43": "Nephew/niece", "30": "Biological brother/sister", "10": "Biological parent", "11": "Stepparent", "21": "Stepchild", "24": "Foster child", "25": "Other child", "32": "Step brother/sister", "-1": "Not in Universe", "61": "Roommate/housemate", "20": "Biological child", "51": "Daughter/son-in-law", "33": "Adopted brother/sister", "40": "Grandparent", "42": "Uncle/aunt", "01": "Spouse", "41": "Grandchild", "23": "Adopted child", "31": "Half brother/sister", "99": "Self", "55": "Other relative", "65": "Other non-relative" } } }, "ERELAT07": { "label": "RL: The 7th person in the hh is this person's [blank].", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "32": "Step brother/sister", "62": "Roomer/boarder", "22": "Step and adopted child", "50": "Father/mother-in-law", "21": "Stepchild", "-1": "Not in Universe", "41": "Grandchild", "23": "Adopted child", "01": "Spouse", "24": "Foster child", "99": "Self", "11": "Stepparent", "15": "Other parent", "61": "Roommate/housemate", "02": "Unmarried partner", "52": "Brother/sister-in-law", "33": "Adopted brother/sister", "14": "Foster parent", "42": "Uncle/aunt", "43": "Nephew/niece", "31": "Half brother/sister", "34": "Other brother/sister", "40": "Grandparent", "63": "Paid employee", "20": "Biological child", "12": "Step and adoptive parent", "13": "Adoptive parent", "25": "Other child", "51": "Daughter/son-in-law", "30": "Biological brother/sister", "10": "Biological parent", "55": "Other relative", "65": "Other non-relative" } } }, "ER60G": { "label": "GI: Receipt of transportation assistance-gas vouchers (ISS Code 60G)", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "-1": "Not in Universe", "2": "No", "1": "Yes" } } }, "T14AMT": { "label": "GI: Amount of employer disability payments (ISS Code 14)", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "None or not in universe" }, "range": [ { "min": "1", "max": "99999", "description": "Amount in dollars" } ] } }, "ERELAT08": { "label": "RL: The 8th person in the hh is this person's [blank].", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "23": "Adopted child", "51": "Daughter/son-in-law", "33": "Adopted brother/sister", "34": "Other brother/sister", "12": "Step and adoptive parent", "14": "Foster parent", "40": "Grandparent", "22": "Step and adopted child", "24": "Foster child", "61": "Roommate/housemate", "25": "Other child", "52": "Brother/sister-in-law", "31": "Half brother/sister", "99": "Self", "55": "Other relative", "11": "Stepparent", "15": "Other parent", "65": "Other non-relative", "21": "Stepchild", "13": "Adoptive parent", "62": "Roomer/boarder", "63": "Paid employee", "02": "Unmarried partner", "30": "Biological brother/sister", "32": "Step brother/sister", "10": "Biological parent", "42": "Uncle/aunt", "50": "Father/mother-in-law", "41": "Grandchild", "43": "Nephew/niece", "-1": "Not in Universe", "20": "Biological child", "01": "Spouse" } } }, "ERELAT01": { "label": "RL: The 1st person in the hh is this person's [blank].", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "01": "Spouse", "31": "Half brother/sister", "10": "Biological parent", "55": "Other relative", "12": "Step and adoptive parent", "20": "Biological child", "22": "Step and adopted child", "23": "Adopted child", "32": "Step brother/sister", "99": "Self", "34": "Other brother/sister", "15": "Other parent", "-1": "Not in Universe", "63": "Paid employee", "25": "Other child", "40": "Grandparent", "24": "Foster child", "50": "Father/mother-in-law", "11": "Stepparent", "51": "Daughter/son-in-law", "61": "Roommate/housemate", "02": "Unmarried partner", "52": "Brother/sister-in-law", "30": "Biological brother/sister", "13": "Adoptive parent", "41": "Grandchild", "42": "Uncle/aunt", "65": "Other non-relative", "43": "Nephew/niece", "21": "Stepchild", "33": "Adopted brother/sister", "14": "Foster parent", "62": "Roomer/boarder" } } }, "ERELAT02": { "label": "RL: The 2nd person in the hh is this person's [blank].", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "01": "Spouse", "24": "Foster child", "51": "Daughter/son-in-law", "34": "Other brother/sister", "15": "Other parent", "61": "Roommate/housemate", "22": "Step and adopted child", "10": "Biological parent", "55": "Other relative", "02": "Unmarried partner", "99": "Self", "33": "Adopted brother/sister", "14": "Foster parent", "41": "Grandchild", "30": "Biological brother/sister", "12": "Step and adoptive parent", "40": "Grandparent", "25": "Other child", "32": "Step brother/sister", "13": "Adoptive parent", "20": "Biological child", "21": "Stepchild", "50": "Father/mother-in-law", "52": "Brother/sister-in-law", "31": "Half brother/sister", "63": "Paid employee", "42": "Uncle/aunt", "11": "Stepparent", "-1": "Not in Universe", "62": "Roomer/boarder", "65": "Other non-relative", "23": "Adopted child", "43": "Nephew/niece" } } }, "ATYPMOM": { "label": "PE: Allocation flag for ETYPMOM", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "Not imputed", "3": "Logical imputation (derivation)", "4": "Statistical or logical imputation using previous wave data", "1": "Statistical imputation (hot deck)", "2": "Cold deck imputation" } } }, "ERELAT03": { "label": "RL: The 3rd person in the hh is this person's [blank].", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "02": "Unmarried partner", "31": "Half brother/sister", "13": "Adoptive parent", "62": "Roomer/boarder", "21": "Stepchild", "30": "Biological brother/sister", "99": "Self", "55": "Other relative", "65": "Other non-relative", "43": "Nephew/niece", "25": "Other child", "15": "Other parent", "01": "Spouse", "52": "Brother/sister-in-law", "11": "Stepparent", "63": "Paid employee", "20": "Biological child", "50": "Father/mother-in-law", "32": "Step brother/sister", "10": "Biological parent", "14": "Foster parent", "61": "Roommate/housemate", "42": "Uncle/aunt", "22": "Step and adopted child", "41": "Grandchild", "24": "Foster child", "33": "Adopted brother/sister", "12": "Step and adoptive parent", "-1": "Not in Universe", "40": "Grandparent", "23": "Adopted child", "51": "Daughter/son-in-law", "34": "Other brother/sister" } } }, "ERELAT04": { "label": "RL: The 4th person in the hh is this person's [blank].", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "23": "Adopted child", "52": "Brother/sister-in-law", "30": "Biological brother/sister", "14": "Foster parent", "41": "Grandchild", "32": "Step brother/sister", "13": "Adoptive parent", "25": "Other child", "42": "Uncle/aunt", "65": "Other non-relative", "55": "Other relative", "12": "Step and adoptive parent", "15": "Other parent", "21": "Stepchild", "22": "Step and adopted child", "10": "Biological parent", "33": "Adopted brother/sister", "02": "Unmarried partner", "51": "Daughter/son-in-law", "31": "Half brother/sister", "99": "Self", "11": "Stepparent", "61": "Roommate/housemate", "40": "Grandparent", "01": "Spouse", "24": "Foster child", "34": "Other brother/sister", "-1": "Not in Universe", "62": "Roomer/boarder", "43": "Nephew/niece", "50": "Father/mother-in-law", "63": "Paid employee", "20": "Biological child" } } }, "TFSSI": { "label": "FA: Total Family Supplemental Security Income Recode", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "range": [ { "min": "0", "max": "150000", "description": "Dollar amount" } ] } }, "EMAX": { "label": "LF: Number of weeks in the reference period", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "-1": "Not in Universe" }, "range": [ { "min": "17", "max": "18", "description": "Number of weeks in the reference period" } ] } }, "ER60T": { "label": "GI: Receipt of transportation assistance-tokens (ISS Code 60T)", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "2": "No", "-1": "Not in Universe", "1": "Yes" } } }, "EBORNUS": { "label": "PE: Respondent was born in the U.S.", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Yes", "2": "No" } } }, "AFCSRSN": { "label": "GI: Allocation flag for RFCSRSN", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "2": "Cold deck imputation", "4": "Statistical or logical imputation using previous wave data", "1": "Statistical imputation (hot deck)", "0": "Not imputed", "3": "Logical imputation (derivation)" } } }, "TBMSUM2": { "label": "BS: Income received this month", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "None or not in universe" }, "range": [ { "min": "1", "max": "66666", "description": "Dollars" } ] } }, "EVAQUES": { "label": "AF: Veteran's annual income questionnaire", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "-1": "Not in Universe", "1": "Yes", "2": "No" } } }, "TBMSUM1": { "label": "BS: Income received this month", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "None or not in universe" }, "range": [ { "min": "1", "max": "66666", "description": "Dollars" } ] } }, "ARSEND1": { "label": "JB: Allocation flag for ERSEND1", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "2": "Cold deck imputation", "3": "Logical imputation(derivation)", "4": "Statistical or logical imputation using previous wave data", "1": "Statistical imputation(hot deck)", "0": "Not imputed" } } }, "ARSEND2": { "label": "JB: Allocation flag for ERSEND2", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "Not imputed", "2": "Cold deck imputation", "1": "Statistical imputation(hot deck)", "3": "Logical imputation(derivation)", "4": "Statistical or logical imputation using previous wave data" } } }, "T38AMT": { "label": "GI: Amt. from other retirement, disability or survivor", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "None or not in universe" }, "range": [ { "min": "1", "max": "16000", "description": "Amount in dollars" } ] } }, "AJOBTRN2": { "label": "ET: Allocation flag for EJOBTRN2.", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "2": "Cold deck", "1": "Statistical imputation(hot deck)", "0": "Not imputed", "3": "Logical imputation(derivation)" } } }, "ESLRYB2": { "label": "BS: Salary draw from business", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Yes", "-1": "Not in Universe", "2": "No" } } }, "ESLRYB1": { "label": "BS: Salary draw from business", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Yes", "2": "No", "-1": "Not in Universe" } } }, "TFIPSST": { "label": "HH: FIPS State Code", "group": "N/A", "limit": 0, "values": { "item": { "47": "Tennessee", "49": "Utah", "54": "West Virginia", "56": "Wyoming", "17": "Illinois", "18": "Indiana", "29": "Missouri", "41": "Oregon", "51": "Virginia", "25": "Massachusetts", "36": "New York", "40": "Oklahoma", "02": "Alaska", "09": "Connecticut", "10": "Delaware", "55": "Wisconsin", "19": "Iowa", "27": "Minnesota", "30": "Montana", "04": "Arizona", "05": "Arkansas", "11": "DC", "21": "Kentucky", "26": "Michigan", "28": "Mississippi", "31": "Nebraska", "33": "New Hampshire", "35": "New Mexico", "46": "South Dakota", "48": "Texas", "08": "Colorado", "16": "Idaho", "22": "Louisiana", "39": "Ohio", "45": "South Carolina", "50": "Vermont", "20": "Kansas", "23": "Maine", "01": "Alabama", "06": "California", "53": "Washington", "13": "Georgia", "15": "Hawaii", "24": "Maryland", "34": "New Jersey", "37": "North Carolina", "44": "Rhode Island", "12": "Florida", "32": "Nevada", "38": "North Dakota", "42": "Pennsylvania" } } }, "TMIJNT": { "label": "AS: Amount of interest paid on mortgage owned with spouse", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "None or not in universe" }, "range": [ { "min": "1", "max": "6400", "description": "Dollars" } ] } }, "A42AMT": { "label": "GI: Allocation flag for T42AMT", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "2": "Cold deck imputation", "3": "Logical imputation (derivation)", "1": "Statistical imputation (hot deck)", "4": "Statistical or logical imputation using previous wave data", "0": "Not imputed" } } }, "AEMPSIZ2": { "label": "JB: Allocation flag for EEMPSIZ2", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "2": "Cold deck imputation", "0": "Not imputed", "4": "Statistical or logical imputation using previous wave data", "3": "Logical imputation(derivation)", "1": "Statistical imputation(hot deck)" } } }, "AEMPSIZ1": { "label": "JB: Allocation flag for EEMPSIZ1", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "2": "Cold deck imputation", "0": "Not imputed", "1": "Statistical imputation(hot deck)", "3": "Logical imputation(derivation)", "4": "Statistical or logical imputation using previous wave data" } } }, "EMDOAST": { "label": "AS: Solely owned money market deposit account", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "-1": "Not in Universe", "2": "No", "1": "Yes" } } }, "EAFBWKSE": { "label": "FH: Is respondent still with the same employer", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "-1": "Not in Universe", "1": "Yes", "2": "No" } } }, "EPOPSTAT": { "label": "PE: Population status based on age in 4th reference month", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "2": "Child (Under 15 years of age)", "1": "Adult (15 years of age or older)" } } }, "ASOTHDIV": { "label": "AS: Allocation flag for ESOTHDIV", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Statistical imputation (hot deck)", "3": "Logical imputation (derivation)", "4": "Statistical or logical imputation using previous wave data", "0": "Not imputed", "2": "Cold deck imputation" } } }, "ARNDUP1": { "label": "AS: Allocation flag for TRNDUP1", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "Not imputed", "2": "Cold deck imputation", "4": "Statistical or logical imputation using previous wave data", "1": "Statistical imputation (hot deck)", "3": "Logical imputation (derivation)", "6": "Derived from range based values" } } }, "THEARN": { "label": "HH: Total household earned income", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "range": [ { "min": "-1500000", "max": "1500000", "description": "Dollar amount" } ] } }, "EBFBWKPR": { "label": "FH: Response for paid work during first pregnancy", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Yes", "2": "No", "-1": "Not in Universe" } } }, "AMOVEST": { "label": "MG: Allocation flag for TMOVEST", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Statistical imputation(hot deck)", "2": "Cold deck", "3": "Logical imputation(derivation)", "0": "Not imputed" } } }, "EHIOTHER": { "label": "HI: Health insurance coverage of nonhousehold members", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Yes", "2": "No", "-1": "Not in Universe" } } }, "TFRCHL": { "label": "FH: Number of children respondent has ever fathered", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "-1": "Not in Universe" }, "range": [ { "min": "0", "max": "6", "description": "Number of child(ren)" } ] } }, "EVAYN": { "label": "AF: Receipt of payments from the VA this wave", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "-1": "Not in Universe", "2": "No", "1": "Yes" } } }, "SINTHHID": { "label": "SU: Hhld Address ID of person in interview month", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "Not In Universe" }, "range": [ { "min": "11", "max": "139", "description": "Household Address ID" } ] } }, "AHOTLUNC": { "label": "HH: Allocation flag for EHOTLUNC", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "4": "Statistical or logical imputation using previous wave data", "1": "Statistical imputation (hot deck)", "0": "Not imputed", "2": "Cold deck imputation", "3": "Logical imputation (derivation)" } } }, "EBNO1": { "label": "BS: Across-wave business index/number", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "-1": "Not in Universe" }, "range": [ { "min": "1", "max": "99", "description": "Business ID" } ] } }, "RSID": { "label": "FA: Related or unrelated subfamily ID Number for this month", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "-1": "Not in Universe" }, "range": [ { "min": "1", "max": "120", "description": "Family ID number" } ] } }, "AHICVMTH": { "label": "HI: Allocation flag for EHICVMTH", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "No imputation", "1": "Statistical imputation (hot deck)", "3": "Logical imputation (derivation)", "2": "Cold deck" } } }, "ETRN2TIM": { "label": "ET: Length of most recent type of training.", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "3": "More than 1 week (more than 40 hours)", "2": "1 Day to 1 week (8-40 hours)", "4": "Currently in training", "-1": "Not in Universe", "1": "Less than 1 full day (less than 8 hours)" } } }, "ARNDUP2": { "label": "AS: Allocation flag for TRNDUP2.", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Statistical imputation (hot deck)", "6": "Derived from range based values", "2": "Cold deck imputation", "0": "Not imputed", "3": "Logical imputation (derivation)", "4": "Statistical or logical imputation using previous wave data" } } }, "AFTYEAR": { "label": "MH: Allocation flag for TFTYEAR", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "Not imputed", "1": "Statistical imputation(hot deck)", "3": "Logical imputation(derivation)", "2": "Cold deck" } } }, "EGEDTM": { "label": "ET: Did ... complete high school by means of GED?", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "GED exam or other equivalent", "-1": "Not in Universe", "2": "Graduation from high school" } } }, "EBNO2": { "label": "BS: Across-wave business index/number", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "-1": "Not in Universe" }, "range": [ { "min": "1", "max": "99", "description": "Business ID" } ] } }, "ESFKIND": { "label": "SF: Kind of family (or pseudo-family)", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "2": "Male Headed", "3": "Female Headed", "-1": "Not in Universe", "1": "Headed by Husband/Wife" } } }, "AHIEVRCV": { "label": "HI: Allocation flag for EHIEVRCV", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Statistical imputation (hot deck)", "3": "Logical imputation (derivation)", "0": "No imputation", "2": "Cold deck" } } }, "ESVJT": { "label": "AS: Ownership of jointly held savings account", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "2": "No", "1": "Yes", "-1": "Not in Universe" } } }, "T04AMT": { "label": "GI: Amount of State SSI (ISS Code 4)", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "None or not in universe" }, "range": [ { "min": "1", "max": "99999", "description": "Amount in dollars" } ] } }, "THNONCSH": { "label": "HH: Total Household Noncash Income Recode", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "range": [ { "min": "0", "max": "150000", "description": "Dollar amount" } ] } }, "RRRSN": { "label": "GI: Reason for receipt of Railroad Retirement pay", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "4": "Disability and retirement", "5": "Disability and Survivor", "-1": "Not in Universe", "6": "Retirement and survivor", "7": "Disability, retirement, and survivor", "2": "Retirement", "1": "Disability", "3": "Survivor", "8": "No payment received" } } }, "EAFBWKPS": { "label": "FH: Skill level of first job after child's birth", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "About the same", "3": "Lesser skill/responsibility level", "-1": "Not in Universe", "2": "Greater skill/responsibility level" } } }, "AFRERDLN": { "label": "HH: Allocation flag for EFRERDLN", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Statistical imputation (hot deck)", "3": "Logical imputation (derivation)", "4": "Statistical or logical imputation using previous wave data", "0": "Not imputed", "2": "Cold deck imputation" } } }, "ALMPTYP3": { "label": "GI: Allocation flag for ALMPTYP3", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "4": "Statistical or logical imputation using previous wave data", "2": "Cold deck imputation", "0": "Not imputed", "3": "Logical imputation (derivation)", "1": "Statistical imputation (hot deck)" } } }, "AORIGIN": { "label": "PE: Allocation flag for EORIGIN", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "4": "Statistical or logical imputation using previous wave data", "1": "Statistical imputation (hot deck)", "3": "Logical imputation (derivation)", "0": "Not imputed", "2": "Cold deck imputation" } } }, "ALMPTYP1": { "label": "GI: Allocation flag for ELMPTYP1", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "2": "Cold deck imputation", "4": "Statistical or logical imputation using previous wave data", "0": "Not imputed", "1": "Statistical imputation (hot deck)", "3": "Logical imputation (derivation)" } } }, "ER02": { "label": "GI: Receipt of Railroad Retirement (ISS Code 2)", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "-1": "Not in Universe", "1": "Yes", "2": "No" } } }, "ALMPTYP2": { "label": "GI: Allocation flag for ELMPTYP2", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "Not imputed", "4": "Statistical or logical imputation using previous wave data", "2": "Cold deck imputation", "3": "Logical imputation (derivation)", "1": "Statistical imputation (hot deck)" } } }, "ER04": { "label": "GI: Receipt of State SSI (ISS Code 4)", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Yes", "2": "No", "-1": "Not in Universe" } } }, "EAFBWKPY": { "label": "FH: Pay level of first job after child's birth", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Same pay rate", "3": "Lower pay rate", "2": "Higher pay rate", "-1": "Not in Universe" } } }, "ER05": { "label": "GI: Receipt of State Unemployment Comp. (ISS Code 5)", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Yes", "2": "No", "-1": "Not in Universe" } } }, "ER06": { "label": "GI: Receipt of Supplemental Unemployment Benefits", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Yes", "2": "No", "-1": "Not in Universe" } } }, "RFS1": { "label": "GI: Reason for stopping food stamps the first time", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "7": "Other, specify", "-1": "Not in Universe", "1": "Became ineligible because of increased income", "5": "Eligibility ran out because of time limits", "6": "The money is not worth it", "2": "Became ineligible because of family changes", "4": "Became ineligible because program requirements were not met", "3": "Still eligible but could not/chose not to collect" } } }, "RFS2": { "label": "GI: Reason for stopping food stamps the second time", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "2": "Became ineligible because of family changes", "4": "Became ineligible because program requirements were not met", "5": "Eligibility ran out because of time limits", "6": "The money is not worth it", "7": "Other, specify", "-1": "Not in Universe", "1": "Became ineligible because of increased income", "3": "Still eligible but could not/chose not to collect" } } }, "ETYPMOM": { "label": "PE: Type of child to mother", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Biological child", "2": "Stepchild", "3": "Adopted child", "-1": "Not in Universe" } } }, "ER08": { "label": "GI: Receipt of Veterans' Compensation (ISS Code 8)", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Yes", "2": "No", "-1": "Not in Universe" } } }, "SPANEL": { "label": "SU: Sample Code - Indicates Panel Year", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "2008": "Panel Year" } } }, "ALANG1": { "label": "HH: Allocation flag for TLANG", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Statistical imputation (hot deck)", "2": "Cold deck imputation", "0": "Not imputed", "3": "Logical imputation (derivation)", "4": "Statistical or logical imputation using previous wave data" } } }, "A30AMT": { "label": "GI: Allocation flag for T30AMT", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "Not imputed", "2": "Cold deck imputation", "4": "Statistical or logical imputation using previous wave data", "1": "Statistical imputation (hot deck)", "3": "Logical imputation (derivation)" } } }, "AGED": { "label": "ED: Allocation flag for RGED", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "3": "Logical imputation (derivation)", "0": "Not imputed", "1": "Statistical imputation (hot deck)", "4": "Statistical or logical imputation using previous wave data", "2": "Cold deck imputation" } } }, "EENLEVEL": { "label": "ED: Level or grade enrolled", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "-1": "Not in Universe", "4": "College year 2 (sophomore)", "1": "Elementary grades 1-8", "2": "High school grades 9-12", "8": "Second year or higher in graduate or professional school", "9": "Vocational, technical, or business school beyond high school level", "7": "First year graduate or professional school", "3": "College year 1 (freshman)", "10": "Enrolled in college, but not working towards degree", "5": "College year 3 (junior)", "6": "College year 4 (senior)" } } }, "AMOWNDIV": { "label": "AS: Allocation flag for TMOWNDIV", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "Not imputed", "2": "Cold deck imputation", "3": "Logical imputation (derivation)", "6": "Derived from range based values", "4": "Statistical or logical imputation using previous wave data", "1": "Statistical imputation (hot deck)" } } }, "T61AMT": { "label": "GI: Amount of food assistance", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "None or not in universe" }, "range": [ { "min": "1", "max": "8000", "description": "Amount in dollars" } ] } }, "RAB2R1": { "label": "GI: 1st reason applied for Pub Asst/AFDC/TANF 2nd time", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "New child (or other dependent) or pregnancy", "9": "Other", "3": "Job loss or wages reduced", "-1": "Not in Universe", "5": "Became disabled or otherwise unable to work", "7": "No change - just heard about the program", "6": "No change - just decided it was time", "2": "Separation, divorce or widowed", "8": "Need to re-certify", "4": "Loss or reduction of other income" } } }, "WFFINWGT": { "label": "WW: 'WPFINWGT' for head of family", "predicateType": "int", "group": "N/A", "limit": 0, "is-weight": true, "values": { "range": [ { "min": "0.0", "max": "99999.9999", "description": "Person weight for family reference person" } ] } }, "RAB2R2": { "label": "GI: 2nd reason applied for Pub Asst/AFDC/TANF 2nd time", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "4": "Loss or reduction of other income", "9": "Other", "-1": "Not in Universe", "1": "New child (or other dependent) or pregnancy", "5": "Became disabled or otherwise unable to work", "6": "No change - just decided it was time", "2": "Separation, divorce or widowed", "7": "No change - just heard about the program", "8": "Need to re-certify", "3": "Job loss or wages reduced" } } }, "TPRFTB1": { "label": "BS: Net profit or loss", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "None or not in universe" }, "range": [ { "min": "-70000", "max": "60000", "description": "Dollars" } ] } }, "EPUBHSC3": { "label": "GI: Source of ...'s housing assistance--community/religious charity", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "2": "No", "-1": "Not in Universe", "1": "Yes" } } }, "EPUBHSC2": { "label": "GI: Source of ...'s housing assistance--housing authority", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "2": "No", "1": "Yes", "-1": "Not in Universe" } } }, "RWS2": { "label": "GI: Reason for stopping WIC the second time", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "-1": "Not in Universe", "1": "Became ineligible because of increased income", "5": "Benefits are not worth it", "6": "Other, specify", "3": "Still eligible but could not/chose not to collect", "4": "Couldn't get to the WIC clinic", "2": "Became ineligible because of family changes" } } }, "EPUBHSC1": { "label": "GI: Source of ...'s housing assistance--government agency", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "2": "No", "-1": "Not in Universe", "1": "Yes" } } }, "AMTHRNT": { "label": "HH: Allocation flag for TMTHRNT", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "Not imputed", "1": "Statistical imputation (hot deck)", "3": "Logical imputation (derivation)", "2": "Cold deck imputation", "4": "Statistical or logical imputation using previous wave data" } } }, "RWS1": { "label": "GI: Reason for stopping WIC the first time", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "2": "Became ineligible because of family changes", "3": "Still eligible but could not/chose not to collect", "-1": "Not in Universe", "1": "Became ineligible because of increased income", "4": "Couldn't get to the WIC clinic", "5": "Benefits are not worth it", "6": "Other, specify" } } }, "REMPDRSN": { "label": "GI: Reason for receipt of employer disability payments", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "-1": "Not in Universe", "8": "No payment", "1": "Disability" } } }, "RFID2": { "label": "FA: Family ID excluding related subfamily members", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "-1": "Not in Universe" }, "range": [ { "min": "1", "max": "120", "description": "Family ID number" } ] } }, "AWKSAB": { "label": "LF: Allocation flag for RMWKSAB", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "2": "Cold deck imputation", "0": "Not imputed", "1": "Statistical imputation(hot deck)", "3": "Logical imputation(derivation)", "4": "Statistical or logical imputation using previous wave data" } } }, "TPRFTB2": { "label": "BS: Net profit or loss", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "None or not in universe" }, "range": [ { "min": "-70000", "max": "60000", "description": "Dollars" } ] } }, "EPUBHSC4": { "label": "GI: Source of ...'s housing assistance--community/religious charity", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "-1": "Not in Universe", "2": "No", "1": "Yes" } } }, "AMOMCHL": { "label": "FH: Allocation flag for TMOMCHL", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "3": "Logical imputation(derivation)", "2": "Cold deck", "0": "Not imputed", "1": "Statistical imputation(hot deck)", "4": "Imputed based on previous wave data" } } }, "AADVNCFD": { "label": "ET: Allocation flag for EADVNCFD.", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "2": "Cold deck", "3": "Logical imputation(derivation)", "0": "Not imputed", "1": "Statistical imputation(hot deck)" } } }, "ASOWNDIV": { "label": "AS: Allocation flag for TSOWNDIV", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "3": "Logical imputation (derivation)", "2": "Cold deck imputation", "6": "Derived from range based values", "0": "Not imputed", "1": "Statistical imputation (hot deck)", "4": "Statistical or logical imputation using previous wave data" } } }, "A64AMT": { "label": "GI: Allocation flag for T64AMT", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "4": "Statistical or logical imputation using previous wave data", "2": "Cold deck imputation", "1": "Statistical imputation (hot deck)", "3": "Logical imputation (derivation)", "0": "Not imputed" } } }, "ABRKFST": { "label": "HH: Allocation flag for EBRKFST", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "3": "Logical imputation", "4": "Statistical or logical imputation using previous wave data", "1": "Statistical imputation (hot deck)", "0": "Not imputed", "2": "Cold deck imputation" } } }, "RDESGPNT": { "label": "PE: Designated parent or guardian flag", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "2": "No", "1": "Yes", "-1": "Not in Universe" } } }, "AEDFUND": { "label": "ED: Allocation flag for EEDFUND", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Statistical imputation (hot deck)", "3": "Logical imputation (derivation)", "4": "Statistical or logical imputation using previous wave data", "2": "Cold deck imputation", "0": "Not imputed" } } }, "THSYR": { "label": "ET: In what year did... receive a high school diploma?", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "-1": "Not in Universe" }, "range": [ { "min": "1945", "max": "2009", "description": "Year received high school diploma" } ] } }, "TSTOTINC": { "label": "SF: Total related subfamily income for this month", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "None or not in universe" }, "range": [ { "min": "-1500000", "max": "1500000", "description": "Dollar amount" } ] } }, "EPSSTHRU": { "label": "GI: Receipt of child support as bonus/passthru", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Yes", "2": "No", "-1": "Not in Universe" } } }, "AMILRSN": { "label": "GI: Allocation flag for RMILRSN", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "2": "Cold deck imputation", "1": "Statistical imputation (hot deck)", "0": "Not imputed", "3": "Logical imputation (derivation)", "4": "Statistical or logical imputation using previous wave data" } } }, "ALASTCOL": { "label": "ET: Allocation flag for TLASTCOL.", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "Not imputed", "3": "Logical imputation(derivation)", "1": "Statistical imputation(hot deck)", "2": "Cold deck" } } }, "ENATCITT": { "label": "MG: How the respondent became a US citizen", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "5": "Born abroad of U.S. citizen parent or parents", "-1": "Not in Universe", "2": "Through your or spouse's military service in U.S. Armed Forces", "3": "Adopted by U.S. citizen parent or parents", "1": "Naturalized", "4": "Born in a U.S. Island Area or born in the United States" } } }, "TSBDATE1": { "label": "BS: Date operation of business began", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "-1": "Not in Universe" }, "range": [ { "min": "19380101", "max": "20121231", "description": "Date" } ] } }, "APROGRAM": { "label": "ET: Allocation flag for EPROGRAM.", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "2": "Cold deck", "0": "Not imputed", "1": "Statistical imputation(hot deck)", "3": "Logical imputation(derivation)" } } }, "TSBDATE2": { "label": "BS: Date operation of business began", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "-1": "Not in Universe" }, "range": [ { "min": "19380101", "max": "20121231", "description": "Date" } ] } }, "TFAFDC": { "label": "FA: Total Family public assistance payments", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "range": [ { "min": "0", "max": "150000", "description": "Dollar amount" } ] } }, "THPNDIST": { "label": "HH: Distributions from pension plans", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "range": [ { "min": "0", "max": "1500000", "description": "Dollar amount" } ] } }, "ER20": { "label": "GI: Receipt of public assistance payments (ISS Code 20)", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Yes", "-1": "Not in Universe", "2": "No" } } }, "ER21": { "label": "GI: Receipt of General Assistance or General Relief", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "2": "No", "1": "Yes", "-1": "Not in Universe" } } }, "ER23": { "label": "GI: Receipt of Foster Child Care Payments (ISS Code 23)", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "2": "No", "-1": "Not in Universe", "1": "Yes" } } }, "ER24": { "label": "GI: Receipt of Other Welfare (ISS Code 24)", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "2": "No", "-1": "Not in Universe", "1": "Yes" } } }, "TBACHYR": { "label": "ET: In what year did... receive... bachelor's degree?", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "-1": "Not in Universe" }, "range": [ { "min": "1952", "max": "2009", "description": "Year received bachelor degree" } ] } }, "ER25": { "label": "GI: Receipt of WIC (ISS Code 25)", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Yes", "-1": "Not in Universe", "2": "No" } } }, "ER27": { "label": "GI: Receipt of food stamps (ISS Code 27)", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "-1": "Not in Universe", "1": "Yes", "2": "No" } } }, "ACDJTINT": { "label": "AS: Allocation flag for TCDJTINT", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "Not imputed", "3": "Logical imputation (derivation)", "4": "Statistical or logical imputation using previous wave data", "2": "Cold deck imputation", "6": "Derived from range based values", "1": "Statistical imputation (hot deck)" } } }, "ER28": { "label": "GI: Receipt of Child Support Payments (ISS Code 28)", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "2": "No", "-1": "Not in Universe", "1": "Yes" } } }, "AIMSTAT": { "label": "MG: Allocation flag for TIMSTAT", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "3": "Logical imputation(derivation)", "0": "Not imputed", "1": "Statistical imputation(hot deck)", "2": "Cold deck" } } }, "ER29": { "label": "GI: Receipt of Alimony Payments (ISS Code 29)", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "2": "No", "1": "Yes", "-1": "Not in Universe" } } }, "EAST1A": { "label": "AS: U.S. government savings bonds owned", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Yes", "2": "No", "-1": "Not in Universe" } } }, "TCDOINT": { "label": "AS: Amount of monthly interest from solely owned CDs", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "None or not in universe" }, "range": [ { "min": "1", "max": "2800", "description": "Dollars" } ] } }, "EAST1C": { "label": "AS: 401k or thrift plan owned", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Yes", "-1": "Not in Universe", "2": "No" } } }, "EAST1B": { "label": "AS: IRA or Keogh account owned", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "2": "No", "1": "Yes", "-1": "Not in Universe" } } }, "ABFBCTWK": { "label": "FH: Allocation flag for EBFBCTWK", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Statistical imputation(hot deck)", "2": "Cold deck", "4": "Imputed based on previous wave data", "3": "Logical imputation(derivation)", "0": "Not imputed" } } }, "TAFBWKY1": { "label": "FH: Year respondent began working after birth of child", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "-1": "Not in Universe" }, "range": [ { "min": "1990", "max": "2009", "description": "Year" } ] } }, "EHIOTHR": { "label": "HI: Coverage of other person(s) outside the household", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "-1": "Not in Universe", "1": "Yes, covered", "2": "No, not covered" } } }, "AHPRTB2": { "label": "BS: Allocation flag for EHPRTB2", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Statistical imputation(hot deck)", "3": "Logical imputation(derivation)", "0": "Not imputed", "2": "Cold deck imputation", "4": "Statistical or logical imputation using previous wave data" } } }, "AHPRTB1": { "label": "BS: Allocation flag for EHPRTB1", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "2": "Cold deck imputation", "3": "Logical imputation(derivation)", "4": "Statistical or logical imputation using previous wave data", "1": "Statistical imputation(hot deck)", "0": "Not imputed" } } }, "EWEEKT1": { "label": "ET: Number of weeks", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "-1": "Not in Universe" }, "range": [ { "min": "1", "max": "999", "description": "Training time in weeks" } ] } }, "A29AMT": { "label": "GI: Allocation flag for T29AMT", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Statistical imputation (hot deck)", "4": "Statistical or logical imputation using previous wave data", "2": "Cold deck imputation", "0": "Not imputed", "3": "Logical imputation (derivation)" } } }, "A52AMT": { "label": "GI: Allocation flag for T52AMT", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Statistical imputation (hot deck)", "0": "Not imputed", "2": "Cold deck imputation", "4": "Statistical or logical imputation using previous wave data", "3": "Logical imputation (derivation)" } } }, "EWEEKT2": { "label": "ET: How many weeks?", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "-1": "Not in Universe" }, "range": [ { "min": "1", "max": "999", "description": "Length of training in weeks" } ] } }, "RENRLMA": { "label": "ED: Full period enrollment status", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Yes", "2": "No", "-1": "Not in Universe" } } }, "EVOCAT": { "label": "ED: Attended vocational, technical, trade, or business school", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Yes", "-1": "Not in Universe", "2": "No" } } }, "RFNKIDS": { "label": "FA: Total number of children under 18 in family", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "range": [ { "min": "0", "max": "30", "description": "Number of children" } ] } }, "ER10": { "label": "GI: Receipt of Workers Compensation (ISS Code 10)", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "2": "No", "-1": "Not in Universe", "1": "Yes" } } }, "ER13": { "label": "GI: Receipt of own sickness, accident insurance payments", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "-1": "Not in Universe", "2": "No", "1": "Yes" } } }, "ER14": { "label": "GI: Receipt of Employer Disability Payments (ISS Code 14)", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "2": "No", "1": "Yes", "-1": "Not in Universe" } } }, "ERSEND2": { "label": "JB: Main reason stopped working for employer", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "13": "Slack work or business conditions", "3": "Childcare problems", "4": "Other family/personal obligations", "5": "Own illness", "6": "Own injury", "7": "School/Training", "10": "Employer sold business", "-1": "Not in Universe", "8": "Discharged/fired", "12": "Quit to take another job", "2": "Retirement or old age", "9": "Employer bankrupt", "1": "On Layoff", "11": "Job was temporary and ended", "14": "Unsatisfactory work arrangements (hours, pay, etc)", "15": "Quit for some other reason" } } }, "ERSEND1": { "label": "JB: Main reason stopped working for employer", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "7": "School/Training", "1": "On Layoff", "5": "Own illness", "9": "Employer bankrupt", "13": "Slack work or business conditions", "4": "Other family/personal obligations", "8": "Discharged/fired", "12": "Quit to take another job", "15": "Quit for some other reason", "11": "Job was temporary and ended", "14": "Unsatisfactory work arrangements (hours, pay, etc)", "-1": "Not in Universe", "2": "Retirement or old age", "3": "Childcare problems", "6": "Own injury", "10": "Employer sold business" } } }, "ER15": { "label": "GI: Receipt of Severance Pay (ISS Code 15)", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Yes", "2": "No", "-1": "Not in Universe" } } }, "ACDOAST": { "label": "AS: Allocation flag for ECDOAST.", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "3": "Logical imputation (derivation)", "4": "Statistical or logical imputation using previous wave data", "1": "Statistical imputation (hot deck)", "0": "Not imputed", "2": "Cold deck imputation" } } }, "EEDFUND": { "label": "ED: Educational assistance", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Yes", "-1": "Not in Universe", "2": "No" } } }, "RCHAMPM": { "label": "HI: Military related health care coverage in this month", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "-1": "Not in Universe", "2": "No", "1": "Yes, covered" } } }, "ER42": { "label": "GI: Receipt of draw from IRA/KEOGH/401k or Thrift Plan", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "2": "No", "-1": "Not in Universe", "1": "Yes" } } }, "EWICYN": { "label": "GI: Recipiency of WIC (ISS Code 25)", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "2": "No", "-1": "Not in Universe", "1": "Yes" } } }, "TSSSI": { "label": "SF: Total related subfamily Supplemental Security Income", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "None or not in universe" }, "range": [ { "min": "1", "max": "150000", "description": "Dollar amount" } ] } }, "RWKSPERM": { "label": "LF: Number of weeks in this month", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "5": "Five weeks", "-1": "Not in Universe", "4": "Four weeks" } } }, "AJACLR": { "label": "AS: Allocation flag for TJACLR", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "Not imputed", "1": "Statistical imputation (hot deck)", "3": "Logical imputation (derivation)", "6": "Derived from range based values", "2": "Cold deck imputation", "4": "Statistical or logical imputation using previous wave data" } } }, "EBFBSTOP": { "label": "FH: Whether resp. stopped working before 1st birth", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "2": "Never stopped/ worked right up to delivery", "1": "Stopped when she was found to be pregnant", "-1": "Not in Universe" } } }, "ECDMTH": { "label": "HI: Medicaid coverage in this month", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Yes, covered", "2": "No, not covered", "-1": "Not in Universe" } } }, "AFSYN": { "label": "GI: Allocation flag for EFSYN", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "3": "Logical imputation (derivation)", "2": "Cold deck imputation", "1": "Statistical imputation (hot deck)", "0": "Not imputed", "4": "Statistical or logical imputation using previous wave data" } } }, "RCUTYP08": { "label": "PE: Veteran payment coverage flag", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Yes, covered", "2": "No, not covered" } } }, "ARRRSN": { "label": "GI: Allocation flag RRRSN", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "2": "Cold deck imputation", "3": "Logical imputation (derivation)", "4": "Statistical or logical imputation using previous wave data", "0": "Not imputed", "1": "Statistical imputation (hot deck)" } } }, "APUBHSC": { "label": "GI: Allocation flag for EPUBHSC1-EPUBHSC4", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Statistical imputation (hot deck)", "0": "Not imputed", "2": "Cold deck imputation", "4": "Statistical or logical imputation using previous wave data", "3": "Logical imputation (derivation)" } } }, "APUBHSE": { "label": "HH: Allocation flag for EPUBHSE", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "No imputation", "2": "Cold deck imputation", "4": "Statistical or logical imputation using previous wave data", "1": "Statistical imputation (hot deck)", "3": "Logical imputation (derivation)" } } }, "AWCMPRSN": { "label": "GI: Allocation flag for RWCMPRSN", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Statistical imputation (hot deck)", "2": "Cold deck imputation", "3": "Logical imputation (derivation)", "0": "Not imputed", "4": "Statistical or logical imputation using previous wave data" } } }, "ELKWRK": { "label": "LF: Spent time looking for work", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Yes", "-1": "Not in Universe", "2": "No" } } }, "RCUTYP04": { "label": "PE: State SSI coverage flag", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Yes, covered", "2": "No, not covered" } } }, "ASANYCHK": { "label": "AS: Allocation flag for ESANYCHK", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "4": "Statistical or logical imputation using previous wave data", "2": "Cold deck imputation", "1": "Statistical imputation (hot deck)", "3": "Logical imputation (derivation)", "0": "Not imputed" } } }, "RCUTYP03": { "label": "PE: Federal SSI coverage flag", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Yes, covered", "2": "No, not covered" } } }, "ACKJTINT": { "label": "AS: Allocation flag for TCKJTINT.", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "Not imputed", "1": "Statistical imputation (hot deck)", "3": "Logical imputation (derivation)", "6": "Derived from range based values", "4": "Statistical or logical imputation using previous wave data", "2": "Cold deck imputation" } } }, "RCUTYP01": { "label": "PE: Social Security coverage flag (ISS 1)", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Yes, covered", "2": "No, not covered" } } }, "EDISABL": { "label": "LF: Had a work-limiting physical or mental condition", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Yes", "-1": "Not in Universe", "2": "No" } } }, "T51AMT": { "label": "GI: Amount of money from relatives or friends", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "None or not in universe" }, "range": [ { "min": "1", "max": "20000", "description": "Amount in dollars" } ] } }, "AMIOWN": { "label": "AS: Allocation flag for TMIOWN", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "3": "Logical imputation (derivation)", "2": "Cold deck imputation", "6": "Derived from range based values", "0": "Not imputed", "1": "Statistical imputation (hot deck)", "4": "Statistical or logical imputation using previous wave data" } } }, "RLNGISOL": { "label": "HH: Linguistic isolation", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "In linguistically isolated household", "2": "Not in linguistically isolated household", "-1": "Not in Universe" } } }, "AMRTJNT": { "label": "AS: Allocation flag for EMRTJNT", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Statistical imputation (hot deck)", "0": "Not imputed", "2": "Cold deck imputation", "4": "Statistical or logical imputation using previous wave data", "3": "Logical imputation (derivation)" } } }, "RMWKLKG": { "label": "LF: Number of weeks looking for work/on layoff in month", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "1 week", "2": "2 weeks", "0": "0 weeks (that is, did not look for work, and was not on layoff) or not applicable", "3": "3 weeks", "5": "5 weeks (if applicable)", "-1": "Not in Universe", "4": "4 weeks" } } }, "AAWOP": { "label": "LF: Allocation flag for EAWOP", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "3": "Logical imputation(derivation)", "1": "Statistical imputation(hot deck)", "2": "Cold deck imputation", "0": "Not imputed", "4": "Statistical or logical imputation using previous wave data" } } }, "ER30": { "label": "GI: Receipt of pension from a company or union", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "-1": "Not in Universe", "1": "Yes", "2": "No" } } }, "ER31": { "label": "GI: Receipt of Federal Civil Service Pension", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Yes", "2": "No", "-1": "Not in Universe" } } }, "AMOVEUS": { "label": "MG: Allocation flag for TMOVEUS", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "Not imputed", "2": "Cold deck", "3": "Logical imputation(derivation)", "1": "Statistical imputation(hot deck)" } } }, "ER32": { "label": "GI: Receipt of U.S. Military Retirement Pay (ISS Code 32)", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "-1": "Not in Universe", "1": "Yes", "2": "No" } } }, "ER34": { "label": "GI: Receipt of State Government Pension (ISS Code 34)", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "2": "No", "1": "Yes", "-1": "Not in Universe" } } }, "TFBRTHYR": { "label": "FH: Year first child was born", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "-1": "Not in Universe" }, "range": [ { "min": "1966", "max": "2009", "description": "Year" } ] } }, "ER35": { "label": "GI: Receipt of Local Government Pension (ISS Code 35)", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "-1": "Not in Universe", "2": "No", "1": "Yes" } } }, "ER36": { "label": "GI: Receipt of paid-up life insurance annuity", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Yes", "2": "No", "-1": "Not in Universe" } } }, "AWRSECT8": { "label": "HH: Allocation flag for EWRSECT8", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "No imputation", "2": "Cold deck imputation", "1": "Statistical imputation (hot deck)", "3": "Logical imputation (derivation)", "4": "Statistical or logical imputation using previous wave data" } } }, "ER38": { "label": "GI: Receipt of other retirement, disability or survivors", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Yes", "2": "No", "-1": "Not in Universe" } } }, "ER39": { "label": "GI: Receipt of Pension/Retirement Lump Sums (ISS Code 39)", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Yes", "-1": "Not in Universe", "2": "No" } } }, "EPATANF4": { "label": "GI: Whether ... received TANF", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "-1": "Not in Universe", "1": "Yes", "2": "No" } } }, "EPATANF3": { "label": "GI: Whether ... received TANF", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "2": "No", "-1": "Not in Universe", "1": "Yes" } } }, "EPATANF6": { "label": "GI: Whether ... received other assistance", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "-1": "Not in Universe", "1": "Yes", "2": "No" } } }, "EPATANF5": { "label": "GI: Whether ... received AFDC assistance", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Yes", "-1": "Not in Universe", "2": "No" } } }, "EPATANF2": { "label": "GI: Whether ... received TANF", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "2": "No", "-1": "Not in Universe", "1": "Yes" } } }, "EPATANF1": { "label": "GI: Whether ... received TANF", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "-1": "Not in Universe", "1": "Yes", "2": "No" } } }, "T28AMT": { "label": "GI: Amount of child support payments (ISS Code 28)", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "None or not in universe" }, "range": [ { "min": "1", "max": "5600", "description": "Amount in dollars" } ] } }, "TEJDATE1": { "label": "JB: Ending date of job", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "-1": "Not in Universe" }, "range": [ { "min": "20080501", "max": "20121231", "description": "Date" } ] } }, "TEJDATE2": { "label": "JB: Ending date of job", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "-1": "Not in Universe" }, "range": [ { "min": "20080501", "max": "20121231", "description": "Date" } ] } } } }