{ "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" } } }, "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" } } }, "EBFLAG": { "label": "LF: Flag indicating 'before' worker", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Yes", "-1": "Not in universe or not applicable" } } }, "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" } } }, "UAF1": { "label": "AF: UNEDITED - When did ... first serve on active duty?", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "3": "May 1975 to Ausust 1980", "4": "Vietnam Era (Aug 64 - April 75)", "5": "Other service (All other periods)", "2": "September 1980 to July 1990", "1": "August 1990 to present (including Persian Gulf War)", "6": "Don't know", "7": "Refused", "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: AFDC 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" } } }, "RSS1": { "label": "GI: Reason for stopping SSI the first time", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "3": "Still eligible but could/chose not to collect", "2": "Because of family changes", "1": "Became ineligible because of increased income", "4": "Other, specify", "-1": "Not in Universe" } } }, "ASJNTDIV": { "label": "AS: Allocation flag for TSJNTDIV", "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" } } }, "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 - When did ... next serve on active duty?", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "3": "May 1975 to Ausust 1980", "4": "Vietnam Era (Aug 64 - April 75)", "5": "Other service (All other periods)", "0": "Not answered", "8": "No other periods of service", "1": "August 1990 to present (including Persian Gulf War)", "2": "September 1980 to July 1990" } } }, "RCUTYP25": { "label": "PE: WIC coverage flag", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "2": "No, not covered", "1": "Yes, covered" } } }, "UAF4": { "label": "AF: UNEDITED - When did ... next serve on active duty?", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "8": "No other periods of service", "1": "August 1990 to present (including Persian Gulf War)", "5": "Other service (All other periods)", "0": "Not answered", "3": "May 1975 to Ausust 1980", "4": "Vietnam Era (Aug 64 - April 75)", "2": "September 1980 to July 1990" } } }, "UAF3": { "label": "AF: UNEDITED - When did ... next serve on active duty?", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "8": "No other periods of service", "1": "August 1990 to present (including Persian Gulf War)", "4": "Vietnam Era (Aug 64 - April 75)", "5": "Other service (All other periods)", "0": "Not answered", "3": "May 1975 to Ausust 1980", "2": "September 1980 to July 1990" } } }, "RCUTYP24": { "label": "PE: Other welfare coverage flag", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Yes, covered", "2": "No, not covered" } } }, "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": "13100", "description": "Amount in dollars" } ] } }, "UAF2": { "label": "AF: UNEDITED - When did ... next serve on active duty?", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "Not answered", "5": "Other service (All other periods)", "3": "May 1975 to Ausust 1980", "2": "September 1980 to July 1990", "1": "August 1990 to present (including Persian Gulf War)", "4": "Vietnam Era (Aug 64 - April 75)", "8": "No other periods of service" } } }, "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)" } } }, "ER50": { "label": "GI: Receipt of income assistance from a charitable group", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Yes", "2": "No", "-1": "Not in Universe" } } }, "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" } } }, "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)" } } }, "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" } } }, "ER53": { "label": "GI: Receipt of income from roomers or boarders", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Yes", "2": "No", "-1": "Not in Universe" } } }, "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", "6": "Taking care of children", "7": "On vacation/personal days", "9": "Labor Dispute", "12": "Other", "4": "Own illness/injury/medical problems", "5": "Pregnancy/childbirth", "-1": "Not in Universe", "2": "Slack work or business conditions", "10": "New job to begin within 30 days" } } }, "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": "50000", "description": "Dollars amount" } ] } }, "APATYN": { "label": "GI: Allocation flag for EPATYN", "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)" } } }, "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" } } }, "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": "50000", "description": "Dollars amount" } ] } }, "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": "1300", "description": "Amount in dollars" } ] } }, "EEGYAST": { "label": "HH: Receipt of energy assistance", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "-1": "Not in Universe", "2": "No", "1": "Yes" } } }, "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" } } }, "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" } } }, "EPROPB2": { "label": "BS: Type of proprietorship", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Alone", "-1": "Not in Universe", "2": "Partnership" } } }, "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" } } }, "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" } ] } }, "RSS2": { "label": "GI: Reason for stopping SSI the second time", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "-1": "Not in Universe", "2": "Because of family changes", "1": "Became ineligible because of increased income", "3": "Still eligible but could/chose not to collect", "4": "Other, specify" } } }, "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": "10000", "description": "Amount in dollars" } ] } }, "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)" } } }, "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" } } }, "EHIMTH": { "label": "HI: Private health insurance coverage in this month", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "2": "No, not covered", "1": "Yes, covered" } } }, "AOINCB2": { "label": "BS: Allocation flag for EOINC2", "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" } } }, "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" } } }, "EPROPB1": { "label": "BS: Type of proprietorship", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Alone", "2": "Partnership", "-1": "Not in Universe" } } }, "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" } } }, "UENTMON": { "label": "PE: UNEDITED VARIABLE - Month entered household", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "13": "Entered before reference period", "0": "Not answered" }, "range": [ { "min": "1", "max": "12", "description": "Month of year" } ] } }, "EBMNTH": { "label": "PE: Month of birth", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "range": [ { "min": "1", "max": "12", "description": "Calendar month" } ] } }, "T07AMT": { "label": "GI: Amount of other 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" } ] } }, "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": { "3": "With job/bus - on layoff, absent w/out pay", "5": "No job/bus - not looking and not on layoff", "1": "With job/bus - working", "-1": "Not in Universe", "4": "No job/bus - looking for work or on layoff", "2": "With job/bus - not on layoff, absent w/out pay" } } }, "RWKESR5": { "label": "LF: Employment Status Recode for Week 5", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "3": "With job/bus - on layoff, absent w/out pay", "2": "With job/bus - not on layoff, absent w/out pay", "-1": "Not in Universe", "4": "No job/bus - looking for work or on layoff", "1": "With job/bus - working", "5": "No job/bus - not looking and not on layoff" } } }, "RWKESR2": { "label": "LF: Employment Status Recode for Week 2", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "5": "No job/bus - not looking and not on layoff", "2": "With job/bus - not on layoff, absent w/out pay", "3": "With job/bus - on layoff, absent w/out pay", "4": "No job/bus - looking for work or on layoff", "1": "With job/bus - working", "-1": "Not in Universe" } } }, "RWKESR3": { "label": "LF: Employment Status Recode for Week 3", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "5": "No job/bus - not looking and not on layoff", "3": "With job/bus - on layoff, absent w/out pay", "2": "With job/bus - not on layoff, absent w/out pay", "-1": "Not in Universe", "1": "With job/bus - working", "4": "No job/bus - looking for work or on layoff" } } }, "ECFLAG": { "label": "LF: Flag indicating other-work-arrangement worker", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Yes", "-1": "Not in Universe" } } }, "RWKESR1": { "label": "LF: Employment Status Recode for Week 1", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "With job/bus - working", "2": "With job/bus - not on layoff, absent w/out pay", "4": "No job/bus - looking for work or on layoff", "5": "No job/bus - not looking and not on layoff", "3": "With job/bus - on layoff, absent w/out pay", "-1": "Not in Universe" } } }, "EPPPNUM": { "label": "PE: Person number", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "range": [ { "min": "101", "max": "1299", "description": "Person number" } ] } }, "A26AMT": { "label": "GI: Allocation flag for T26AMT", "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" } } }, "TBYEAR": { "label": "PE: Year of birth", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "range": [ { "min": "1912", "max": "2000", "description": "Calendar 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" } ] } }, "WHFNWGT": { "label": "WW: Household weight", "predicateType": "int", "group": "N/A", "limit": 0, "is-weight": true }, "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" } } }, "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" } } }, "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" } } }, "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" } } }, "THAFDC": { "label": "HH: Total household AFDC income", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "range": [ { "min": "0", "max": "150000", "description": "Dollar amount" } ] } }, "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" } } }, "EUNITS": { "label": "HH: Number of housing units", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "2": "One, attached", "8": "50 or more", "6": "10-19", "1": "One, detached", "-1": "Not in Universe", "5": "5-9", "3": "Two", "7": "20-49", "4": "3:4" } } }, "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" } } }, "EPPINTVW": { "label": "PE: Person's interview status", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Interview (self)", "4": "Nonintrvw - pseudo Type Z. Left sample during the reference period", "5": "Children under 15 during reference period", "3": "Noninterview - Type Z", "2": "Interview (proxy)" } } }, "RCUTYP58": { "label": "PE: Health Insurance coverage flag", "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" } } }, "EHHNUMPP": { "label": "HH: Total number of persons in this hhld in this month", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "range": [ { "min": "1", "max": "30", "description": "Number of persons in household" } ] } }, "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" } ] } }, "EHRSBS2": { "label": "BS: Usual hours worked per week", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "-1": "Not in Universe" }, "range": [ { "min": "1", "max": "99", "description": "hours per week" } ] } }, "EHRSBS1": { "label": "BS: Usual hours worked per week", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "-1": "Not in Universe" }, "range": [ { "min": "1", "max": "99", "description": "hours per week" } ] } }, "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" } } }, "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": "1", "max": "1500000", "description": "Dollar amount" } ] } }, "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" } } }, "T42AMT": { "label": "GI: Amount of draw from an IRA/Keough/401k or Thrift Plan", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "None or not in universe" }, "range": [ { "min": "1", "max": "54500", "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)" } } }, "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)" } } }, "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" } ] } }, "T20AMT": { "label": "GI: Amount of AFDC,ADC (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" } } }, "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" } } }, "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)" } } }, "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": "Because of family changes", "-1": "Not in Universe", "3": "Still eligible but could/chose not to collect", "1": "Became ineligible because of increased income", "4": "Other, specify" } } }, "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/chose not to collect", "-1": "Not in Universe", "4": "Other, specify", "2": "Because of family changes" } } }, "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" } ] } }, "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": "15300", "description": "Amount in dollars" } ] } }, "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" } } }, "EPAYHR2": { "label": "JB: Is ... paid by the hour?", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Yes", "2": "No", "-1": "Not in Universe" } } }, "EPAYHR1": { "label": "JB: Is ... paid by the hour?", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "-1": "Not in Universe", "1": "Yes", "2": "No" } } }, "ROTHRRSN": { "label": "GI: Reason for receipt of 'other' retirement income", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "-1": "Not in Universe", "6": "Retirement and survivor", "5": "Disability and Survivor", "2": "Retirement", "7": "Disability, retirement, and survivor", "3": "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)" } } }, "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" } } }, "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" } } }, "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)" } } }, "T09AMT": { "label": "GI: Amount of black lung payment (ISS Code 9)", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "None or not in universe" }, "range": [ { "min": "1", "max": "99999", "description": "Amount in dollars" } ] } }, "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": "1299", "description": "Person number" } ] } }, "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": "700", "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": "3100", "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" } } }, "RFB2R2": { "label": "GI: 2nd reason for applying for Food Stamps the 2nd time", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "9": "Became disabled", "10": "Other, specify", "-1": "Not in Universe", "8": "Just got around to applying", "2": "Pregnancy/birth of child", "6": "Loss of other support income", "5": "Loss of job/wages/other income", "3": "Began receiving for another dependent", "4": "Separated or divorced from spouse/parent", "7": "Just learned about program" } } }, "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" } } }, "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", "10": "Other, specify", "6": "Loss of other support income", "3": "Began receiving for another dependent", "4": "Separated or divorced from spouse/parent", "5": "Loss of job/wages/other income", "9": "Became disabled", "8": "Just got around to applying", "7": "Just learned about program", "2": "Pregnancy/birth of child" } } }, "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": "600", "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)" } } }, "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": "1299", "description": "Person # of spouse of rel. subfamily reference person" } ] } }, "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)" } } }, "ASVOINT": { "label": "AS: Allocation flag for TSVOINT", "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)" } } }, "ECSAGREE": { "label": "GI: Agreement for support payments", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Yes", "2": "No", "-1": "Not in Universe" } } }, "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" } } }, "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)", "3": "Logical imputation (derivation)", "2": "Cold deck imputation", "0": "Not imputed", "4": "Statistical or logical imputation using previous wave data" } } }, "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" } } }, "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" } } }, "ULFTDAY": { "label": "PE: UNEDITED VARIABLE - Day of month left household", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "Not answered" }, "range": [ { "min": "1", "max": "31", "description": "Day of month" } ] } }, "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" } } }, "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" } } }, "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" } } }, "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" } } }, "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)" } } }, "EHEMPLY": { "label": "HI: Source of health insurance", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "8": "Other", "6": "Military/VA health care", "4": "CHAMPUS", "5": "CHAMPVA", "7": "Privately purchased", "-1": "Not in Universe", "1": "Current employer or work", "2": "Former employer", "3": "Union" } } }, "EJOBCNTR": { "label": "LF: Number of jobs held during the reference period", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "Contingent workers", "-1": "Not in Universe" }, "range": [ { "min": "1", "max": "25", "description": "# of jobs held during the reference period" } ] } }, "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" } ] } }, "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" } } }, "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" } } }, "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" } } }, "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" } } }, "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" } ] } }, "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)" } } }, "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": "87200", "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)" } } }, "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" } } }, "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" } } }, "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": "3300", "description": "Dollars" } ] } }, "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" } } }, "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" } } }, "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" } } }, "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": "13080", "description": "Amount in dollars" } ] } }, "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, no time on layoff and no time looking for work.", "3": "With job all month, absent from work w/out pay 1+ weeks, absence due to layoff", "5": "With job at least 1 but not all weeks, some weeks on layoff or looking for work", "1": "With a job entire month, worked all weeks.", "-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", "7": "No job, at least one but not all weeks on layoff or looking for work", "2": "With a job all month, absent from work w/out pay 1+ weeks, absence not due to layoff" } } }, "TBDJTINT": { "label": "AS: Amnt 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": "10000", "description": "Dollars" } ] } }, "RGB2R1": { "label": "GI: 1st reason applying for General Asst the 2nd time", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "2": "Pregnancy/birth of child", "4": "Separated or divorced from spouse/parent", "6": "Loss of other support income", "5": "Loss of job/wages/other income", "9": "Became disabled", "3": "Began receiving for another dependent", "-1": "Not in Universe", "7": "Just learned about program", "8": "Just got around to applying", "10": "Other, specify" } } }, "RGB2R2": { "label": "GI: 2nd reason applying for General Asst the 2nd time", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "2": "Pregnancy/birth of child", "10": "Other, specify", "3": "Began receiving for another dependent", "4": "Separated or divorced from spouse/parent", "8": "Just got around to applying", "9": "Became disabled", "-1": "Not in Universe", "7": "Just learned about program", "5": "Loss of job/wages/other income", "6": "Loss of other support income" } } }, "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" } } }, "A12AMT": { "label": "GI: Allocation flag for T12AMT", "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" } ] } }, "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": "7300", "description": "Dollars" } ] } }, "RMEDCODE": { "label": "HI: 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" } } }, "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": "14400", "description": "Amount in dollars" } ] } }, "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": { "-1": "Not in Universe", "9999": "Unable to identify person # of partner" }, "range": [ { "min": "101", "max": "1299", "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 # of partner", "-1": "Not in Universe" }, "range": [ { "min": "101", "max": "1299", "description": "Person number of partner" } ] } }, "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" } } }, "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" } ] } }, "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" } ] } }, "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": "2800", "description": "Dollars" } ] } }, "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", "0": "Not imputed" } } }, "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" } } }, "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" } ] } }, "ESSICHLD": { "label": "GI: Receipt of 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" } } }, "EAFNOW": { "label": "AF: Current Armed Forces status", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "2": "No", "1": "Yes", "-1": "Not in Universe" } } }, "EHREFPER": { "label": "HH: Person number of household reference person", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "range": [ { "min": "101", "max": "1299", "description": "Person number" } ] } }, "TFPOV": { "label": "FA: Low income cutoff for this family", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "range": [ { "min": "1", "max": "40000", "description": "Dollar amount" } ] } }, "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)" } } }, "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 mnthly interest from joint checking account", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "None or not in universe" }, "range": [ { "min": "1", "max": "220", "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 # of partner" }, "range": [ { "min": "101", "max": "1299", "description": "Person number of partner" } ] } }, "EPARTB31": { "label": "BS: Person number of partner 3", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "9999": "Unable to identify person # of partner", "-1": "Not in Universe" }, "range": [ { "min": "101", "max": "1299", "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" } ] } }, "ELIVQRT": { "label": "HH: Type of living quarters", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "4": "Hu In Rooming House", "2": "Hu In Nontransient Hotel, Motel, Etc.", "8": "GQ - Quarters not HU in rooming or boarding house", "11": "GQ - Student quarters in college dormitory", "9": "GQ - Unit not permanent in transient hotel, motel, etc", "3": "HU permanent, in transient hotel, motel, etc", "6": "Mobile Home or trailer w/ one or more permanent rooms added", "7": "Hu Not Specified Above", "12": "Group quarters unit not specified above", "1": "HU in House, apartment, flat", "5": "Mobile home or trailer w/ no permanent room added", "10": "GQ - Unoccupied tent or trailer site" } } }, "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" } } }, "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" } } }, "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" } ] } }, "TSAFDC": { "label": "SF: Total related subfamily AFDC income", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "None or not in universe" }, "range": [ { "min": "1", "max": "150000", "description": "Dollar amount" } ] } }, "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": { "6": "Loss of other support income", "-1": "Not in Universe", "8": "Just got around to applying", "3": "Began receiving for another dependent", "9": "Became disabled", "5": "Loss of job/wages/other income", "10": "Other, specify", "2": "Pregnancy/birth of child", "7": "Just learned about program", "4": "Separated or divorced from spouse/parent" } } }, "ROB2R1": { "label": "GI: 1st reason applying for Other Welfare the 2nd time", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "4": "Separated or divorced from spouse/parent", "8": "Just got around to applying", "6": "Loss of other support income", "10": "Other, specify", "2": "Pregnancy/birth of child", "5": "Loss of job/wages/other income", "7": "Just learned about program", "3": "Began receiving for another dependent", "-1": "Not in Universe", "9": "Became disabled" } } }, "ERSNOWRK": { "label": "LF: Main reason for not working during the ref. period", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "5": "Pregnancy/childbirth", "-1": "Not in Universe", "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", "4": "Retired", "9": "On layoff", "1": "Temporarily unable to work because of an injury", "2": "Temporarily not able to work because of an illness", "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": "-3250", "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 # of partner", "-1": "Not in Universe" }, "range": [ { "min": "101", "max": "1299", "description": "Person number of partner" } ] } }, "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 # of partner" }, "range": [ { "min": "101", "max": "1299", "description": "Person number of partner" } ] } }, "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": { "2": "Pregnancy/birth of child", "6": "Loss of other support income", "5": "Loss of job/wages/other income", "9": "Became disabled", "7": "Just learned about program", "4": "Separated or divorced from spouse/parent", "3": "Began receiving for another dependent", "-1": "Not in Universe", "10": "Other, specify", "8": "Just got around to applying" } } }, "RWB1R1": { "label": "GI: First reason for applying for WIC the 1st time", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "2": "Pregnancy/birth of child", "3": "Began receiving for another dependent", "5": "Loss of job/wages/other income", "6": "Loss of other support income", "7": "Just learned about program", "8": "Just got around to applying", "10": "Other, specify", "9": "Became disabled", "-1": "Not in Universe", "4": "Separated or divorced from spouse/parent" } } }, "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" } } }, "TMETRO": { "label": "HH: Metro/Residual status", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Metro", "2": "Residual" } } }, "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" } } }, "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" } } }, "EJBHRS1": { "label": "JB: Usual hours worked per week at this job", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "-1": "Not in Universe" }, "range": [ { "min": "1", "max": "99", "description": "hours per week" } ] } }, "RAB1R1": { "label": "GI: First reason for applying for AFDC the 1st time", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "2": "Pregnancy/birth of child", "5": "Loss of job/wages/other income", "4": "Separated or divorced from spouse/parent", "6": "Loss of other support income", "9": "Became disabled", "3": "Began receiving for another dependent", "7": "Just learned about program", "10": "Other, specify", "-1": "Not in Universe", "8": "Just got around to applying" } } }, "RAB1R2": { "label": "GI: Second reason for applying for AFDC the 1st time", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "8": "Just got around to applying", "5": "Loss of job/wages/other income", "9": "Became disabled", "6": "Loss of other support income", "7": "Just learned about program", "2": "Pregnancy/birth of child", "3": "Began receiving for another dependent", "-1": "Not in Universe", "10": "Other, specify", "4": "Separated or divorced from spouse/parent" } } }, "EJBHRS2": { "label": "JB: Usual hours worked per week at this job", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "-1": "Not in Universe" }, "range": [ { "min": "1", "max": "99", "description": "hours per week" } ] } }, "THLUMPSM": { "label": "HH: Retirement lump sum payments", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "range": [ { "min": "0", "max": "15000000", "description": "Dollar amount" } ] } }, "TMSA": { "label": "HH: CMSA/PMSA/MSA Code", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "7560": "Scranton--Wilkes-Barre--Hazelton, PA", "3480": "Indianapolis, IN", "0007": "Boston-Worcester-Lawrence, MA-NH", "0760": "Baton Rouge, LA", "6880": "Rockford, IL", "2320": "El Paso, TX", "5560": "New Orleans, LA", "5160": "Mobile, AL", "4120": "Las Vegas, AZ", "0035": "Detroit-Ann Arbor-Flint, MI", "7480": "Santa Barbara-Santa Maria-Lompoc, CA", "0200": "Albequerque, NM", "3980": "Lakeland-Winter Haven, FL", "0084": "San Francisco-Oakland-San Jose, CA", "0082": "Sacramento-Yolo, CA", "3760": "Kansas City, KS", "3240": "Harrisburg-Lebanon-Carlisle, PA", "7160": "Salt Lake City-Ogden, UT", "0680": "Bakersfield, CA", "8160": "Syracuse, NY", "0160": "Albany-Schenectady-Troy, NY", "1520": "Charlotte-Gastonia-Rock Hill, NC", "6840": "Rochester, NY", "6280": "Pittsburgh, PA", "3840": "Knoxville, TN", "4280": "Lexington, KY", "7040": "St. Louis, IL", "2700": "Fort Myers-Cape Coral, FL", "0640": "Austin-San Marcos, TX", "4720": "Madison, WI", "0031": "Dallas-Fort Worth, TX", "6200": "Phoenix-Mesa, AZ", "2000": "Dayton-Springfield, OH", "5240": "Montgomery, AL", "1280": "Buffalo-Niagara Falls, NY", "0240": "Allentown-Bethlehem-Easton, PA", "1720": "Colorado Springs, CO", "0079": "Portland-Salem, OR-WA", "1840": "Columbus, OH", "0028": "Cleveland-Akron, OH", "3320": "Honolulu, HI", "7240": "San Antonio, TX", "2760": "Fort Wayne, IN", "5120": "Minneapolis-St. Paul, WI", "1440": "Charleston-North Charleston, SC", "8000": "Springfield, MA", "7320": "San Diego, CA", "0091": "Seattle-Tacoma-Bremerton, WA", "6080": "Pensacola, FL", "2710": "Fort Pierce-Port St. Lucie, FL", "2840": "Fresno, CA", "4900": "Melbourne-Titusville-Palm Bay, FL", "4000": "Lancaster, PA", "4880": "McAllen-Edinburg-Mission, TX", "8280": "Tampa-St. Petersburg-Clearwater, FL", "3160": "Greensville-Spartansburg-Anderson, SC", "0049": "Los Angeles-Riverside-Orange County, CA", "0056": "Miami-Fort Laudersale, FL", "5360": "Nashville, TN", "4040": "Lansing-East Lansing, MI", "8400": "Toledo, OH", "8120": "Stockton-Lodi, CA", "0097": "Washington-Baltimore, DC", "3120": "Greensboro--Winston-Salem--High Point, NC", "0000": "Not in MSA/CMSA/PMSA or not identifiable", "6760": "Richmond-Petersburg, VA", "6520": "Provo-Orem, UT", "6640": "Raleigh-Durham-Chapel Hill, NC", "5960": "Orlando, FL", "7510": "Sarasota-Bradenton, FL", "8680": "Utica-Rome, NY", "4920": "Memphis, MS", "6680": "Reading, PA", "0021": "Cincinnati-Hamilton, OH", "2560": "Fayetville, NC", "0014": "Chicago-Gary-Kenosha (excl.PMSA 3740), IL", "1480": "Charleston, WV", "3810": "Killeen-Temple, TX", "5170": "Modesto, CA", "5720": "Norfolk-Virginia Beach-Newport News, VA", "0840": "Beaumont-Port Arthur, TX", "2120": "Des Moines, IA", "3600": "Jacksonville, FL", "0070": "NY-NJ-LI, NJ", "2400": "Eugene-Springfield, OR", "2020": "Daytona Beach, FL", "0077": "Philadelphia-Wilmington-Atlantic City, NJ", "3000": "Grand Rapids-Muskegon-Holland, MI", "0520": "Atlanta, GA", "3660": "Johnson City-Kingsport-Bristol, TN", "1000": "Birmingham, AL", "1880": "Corpus Christi, TX", "8960": "West Palm Beach-Boca Raton, FL", "4520": "Louisville, KY", "0042": "Houston-Galveston-Brazoria, TX", "8560": "Tulsa, OK", "0034": "Denver-Boulder-Greeley, CO", "0063": "Milwuakee-Racine, WI", "5880": "Oklahoma City, OK" } } }, "UENTMAIN": { "label": "PE: UNEDITED VARIABLE - Main reason entered household", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Birth", "10": "Job change - other", "3": "Returned to hhld after missing one or more waves", "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" } } }, "EFSPOUSE": { "label": "FA: Person number of spouse of family ref. person", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "9999": "Persons with EFKIND 2 or 3" }, "range": [ { "min": "101", "max": "1299", "description": "Person # of spouse of family ref. person" } ] } }, "AEDASST": { "label": "ED: Allocation flag for EASST01-EASST11", "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": "10900", "description": "Dollars" } ] } }, "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": "99", "description": "Health insurance coverage unit" } ] } }, "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": "99", "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": "99", "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": "1995", "max": "2000", "description": "Calendar year of reference month" } ] } }, "RCUOW58B": { "label": "PE: Person num. of second owner of Health Insurance coverage", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "Not In Universe" }, "range": [ { "min": "101", "max": "1299", "description": "Person number" } ] } }, "RCUOW58A": { "label": "PE: Person num. of first owner of Health Insurance coverage", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "Not In Universe" }, "range": [ { "min": "101", "max": "1299", "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" } } }, "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)" } } }, "T37AMT": { "label": "GI: Amount from estates or trusts (ISS Code 37)", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "None or not in universe" }, "range": [ { "min": "1", "max": "20000", "description": "Amount in dollars" } ] } }, "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": "4600", "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" } } }, "EGROSB2": { "label": "BS: Anticipated gross-earnings level", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "2": "No", "-1": "Not in Universe", "1": "Yes" } } }, "EGROSB1": { "label": "BS: Anticipated gross-earnings level", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Yes", "2": "No", "-1": "Not in Universe" } } }, "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": "# of persons in this rel. 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" } } }, "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", "4": "Temporarily not able to work full-time because of illness", "7": "Full-time work week less than 35 hours", "9": "Participated in 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" } } }, "T50AMT": { "label": "GI: Amount of income assistance from a charitable group", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "None or not in universe" }, "range": [ { "min": "1", "max": "300", "description": "Amount in dollars" } ] } }, "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", "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" } } }, "RGS2": { "label": "GI: Reason for stopping General Assist the 2nd time", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "-1": "Not in Universe", "3": "Still eligible but could/chose not to collect", "2": "Because of family changes", "4": "Other, specify", "1": "Became ineligible because of increased income" } } }, "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" } ] } }, "RGS1": { "label": "GI: Reason for stopping General Assist the 1st time", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "4": "Other, specify", "1": "Became ineligible because of increased income", "2": "Because of family changes", "-1": "Not in Universe", "3": "Still eligible but could/chose not to collect" } } }, "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": "5500", "description": "Dollars" } ] } }, "APDJBTHN": { "label": "LF: Allocation flag for EPDJBTHN", "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" } } }, "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" } } }, "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": { "item": { "0": "Blank" }, "range": [ { "min": "1", "max": "101", "description": "Reduction Group Code" } ] } }, "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)" } } }, "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" } } }, "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)" } } }, "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)" } } }, "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)" } } }, "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": "4400", "description": "Dollars" } ] } }, "A53AMT": { "label": "GI: Allocation flag for T53AMT", "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" } } }, "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" } } }, "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", "1": "Res. this mo. was intrvwed address - program data collected", "3": "Res. this mo. not in sample at intrvw - program data transfe" } } }, "ECDUNT1": { "label": "HI: 1st Medicaid coverage unit for this month", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "-1": "Not in Universe" }, "range": [ { "min": "1", "max": "99", "description": "Medicaid coverage unit" } ] } }, "ECDUNT2": { "label": "HI: 2nd Medicaid coverage unit for this month", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "-1": "Not in Universe" }, "range": [ { "min": "1", "max": "99", "description": "Medicaid coverage unit" } ] } }, "ECDUNT3": { "label": "HI: 3rd Medicaid coverage unit for this month", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "-1": "Not in Universe" }, "range": [ { "min": "1", "max": "99", "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": "2200", "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": "1100", "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)" } } }, "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: Race of this person", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "3": "American Indian, Aleut, or Eskimo", "2": "Black", "4": "Asian or Pacific Islander", "1": "White" } } }, "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)" } } }, "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" } } }, "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: Does ... still own this business?", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "-1": "Not in Universe", "2": "No", "1": "Yes" } } }, "EBIZNOW1": { "label": "BS: Does ... still own this business?", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Yes", "-1": "Not in Universe", "2": "No" } } }, "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" } } }, "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" } } }, "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" } } }, "THPOV": { "label": "HH: Low income cutoff for this household", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "range": [ { "min": "1", "max": "40000", "description": "Dollar amount" } ] } }, "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": "1", "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" } } }, "ERRP": { "label": "PE: Household relationship", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "13": "Other non-relative of reference person", "1": "Reference person w/ rel. persons in hhld", "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", "8": "Other relative of reference person", "2": "Reference Person w/out rel. persons in hhld", "3": "Spouse of reference person", "4": "Child of reference person", "9": "Foster child of reference person" } } }, "EINCPB1": { "label": "BS: Is this business incorporated?", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "2": "No", "-1": "Not in Universe", "1": "Yes" } } }, "EINCPB2": { "label": "BS: Is this business incorporated?", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Yes", "-1": "Not in Universe", "2": "No" } } }, "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", "3": "Logical imputation (derivation)" } } }, "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)", "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": "1299", "description": "Person number" } ] } }, "AMOWNADV": { "label": "AS: Allocation flag for TMOWNADV", "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" } } }, "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)" } } }, "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": "6600", "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": { "270": "Mover, no longer located in same fr's area", "260": "TYPE-D, moved address unknown", "248": "TYPE-C, other (specify)", "215": "TYPE-A, insufficient parital", "217": "TYPE-A, temporarily absent (ta)", "207": "Complete partial - TYPE-Z; no futher followup", "252": "TYPE-C, living in armed forces barracks", "262": "Merged with another SIPP household", "253": "TYPE-C, on active duty in Armed Forces", "255": "TYPE-C, no Wave 1 persons remaining in hhld", "213": "TYPE-A, language problem", "271": "Mover, new address located in same fr's area", "249": "TYPE-C, sample adjustment", "250": "TYPE-C, hh deceased", "254": "TYPE-C, no one over age 15 years in hhld", "201": "Completed interview", "218": "TYPE-A, hh refused", "219": "TYPE-A, other occupied (specify)", "216": "TYPE-A, no one home (noh)", "261": "TYPE-D, moved w/in U.S. but outside SIPP", "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" } } }, "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" } } }, "EHIOWNER": { "label": "HI: Covered by own plan or someone else's plan", "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", "4": "Not covered", "1": "Covered in own name" } } }, "AUECTYP7": { "label": "GI: Allocation flag for EUECTYP7", "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" } } }, "ASTLEMP1": { "label": "JB: Allocation flag 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" } } }, "ASTLEMP2": { "label": "JB: Allocation flag 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: Income from additional work", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "2": "No", "-1": "Not in Universe", "1": "Yes" } } }, "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": "Not in Universe", "1": "Biological or natural child", "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" } } }, "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)" } } }, "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": "440000", "description": "Amount in dollars" } ] } }, "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": "999000", "description": "Amount in dollars" } ] } }, "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)" } } }, "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" } } }, "ECKOAST": { "label": "AS: Solely owned interest bearing checking account", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Yes", "2": "No", "-1": "Not in Universe" } } }, "EFRERDBK": { "label": "HH: Are the breakfasts free or are they 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)" } } }, "AUNITS": { "label": "HH: Allocation flag for EUNITS", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "3": "Logical imputation (derivation)", "1": "Statistical imputation (hot deck)", "2": "Cold deck imputation", "0": "No imputation", "4": "Statistical or logical imputation using previous wave data" } } }, "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)" } } }, "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)" } } }, "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": "13200", "description": "Dollars" } ] } }, "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": "-5000", "max": "19000", "description": "Dollars" } ] } }, "T53AMT": { "label": "GI: Amount of income from roomers or boarders", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "None or not in universe" }, "range": [ { "min": "1", "max": "7840", "description": "Amount in dollars" } ] } }, "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": "88", "description": "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)", "1": "Statistical imputation (hot deck)" } } }, "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" } } }, "AHIMTH": { "label": "HI: Allocation flag for EHIMTH", "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" } } }, "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": "25:99 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": "25:99 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" } } }, "TFPNDIST": { "label": "FA: Family distributions from pension plans", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "range": [ { "min": "0", "max": "1500000", "description": "Dollar amount" } ] } }, "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" } } }, "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)" } } }, "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)" } } }, "A50AMT": { "label": "GI: Allocation flag for T50AMT", "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)" } } }, "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: How often was .. paid at this 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" } } }, "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)" } } }, "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" } } }, "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": "50000", "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" } } }, "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" } ] } }, "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": "650", "description": "Monthly rent" } ] } }, "EEMPLOC2": { "label": "JB: Does employer operate in more than one location?", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "2": "No", "-1": "Not in Universe", "1": "Yes" } } }, "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" } } }, "EEMPLOC1": { "label": "JB: Does employer operate in more than one location?", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "-1": "Not in Universe", "1": "Yes", "2": "No" } } }, "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" } ] } }, "RPYPER2": { "label": "JB: How often was .. paid at this 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 for stopping AFDC the second time", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "2": "Because of family changes", "4": "Other, specify", "3": "Still eligible but could/chose not to collect", "1": "Became ineligible because of increased income", "-1": "Not in Universe" } } }, "RAS1": { "label": "GI: Reason for stopping AFDC the first time", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "4": "Other, specify", "-1": "Not in Universe", "1": "Became ineligible because of increased income", "3": "Still eligible but could/chose not to collect", "2": "Because of family changes" } } }, "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": "15700", "description": "Amount in dollars" } ] } }, "RVETSRSN": { "label": "GI: Reason for receipt of Veterans' comp. or pensions", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "-1": "Not in Universe", "8": "No payment received", "3": "Survivor" } } }, "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" } ] } }, "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": "19260101", "max": "20000228", "description": "Date" } ] } }, "TEBDATE1": { "label": "BS: Date operation of business ended", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "-1": "Not in Universe" }, "range": [ { "min": "19260101", "max": "20000228", "description": "Date" } ] } }, "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" } } }, "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)" } } }, "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)", "2": "Cold deck imputation", "0": "Not imputed", "4": "Statistical or logical imputation using previous wave data" } } }, "EUECTYP7": { "label": "GI: Receipt of other unemployment comp. (ISS Code 7)", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "2": "No", "1": "Yes", "-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": "1299", "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": "1299", "description": "Person number" } ] } }, "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" } } }, "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": "129", "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)" } } }, "ESTLEMP2": { "label": "JB: Does ... still work 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: Does ... still work 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" } } }, "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 (18+) outside the household", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Yes, covered", "2": "No, not covered", "-1": "Not in Universe" } } }, "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": "13625", "description": "Amount in dollars" } ] } }, "ALIVQRT": { "label": "HH: Allocation flag for ELIVQRT", "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)" } } }, "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)" } } }, "A37AMT": { "label": "GI: Allocation flag for T37AMT", "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)" } } }, "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" } } }, "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 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" } } }, "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" } } }, "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" } } }, "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" } ] } }, "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" } } }, "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" } ] } }, "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" } } }, "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" } } }, "ULFTMON": { "label": "PE: UNEDITED VARIABLE - Month left household", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "Not answered" }, "range": [ { "min": "1", "max": "12", "description": "Month of year" } ] } }, "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, 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" } } }, "EFREFPER": { "label": "FA: Person number of the family reference person", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "range": [ { "min": "101", "max": "1299", "description": "Person # 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, not absent w/out pay from a job)", "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" } } }, "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" } ] } }, "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", "3": "Logical imputation (derivation)", "2": "Cold deck imputation" } } }, "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" } } }, "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)" } } }, "EACCESS": { "label": "HH: Access to living quarters", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "-1": "Not in Universe", "1": "Yes", "2": "No" } } }, "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": { "2": "Pregnancy/birth of child", "10": "Other, specify", "6": "Loss of other support income", "8": "Just got around to applying", "9": "Became disabled", "7": "Just learned about program", "3": "Began receiving for another dependent", "-1": "Not in Universe", "4": "Separated or divorced from spouse/parent", "5": "Loss of job/wages/other income" } } }, "AMJADIV": { "label": "AS: Allocation flag for TMJADIV", "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" } } }, "RFB1R2": { "label": "GI: 2nd reason for applying for Food Stamps the 1st time", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "-1": "Not in Universe", "3": "Began receiving for another dependent", "7": "Just learned about program", "10": "Other, specify", "6": "Loss of other support income", "4": "Separated or divorced from spouse/parent", "2": "Pregnancy/birth of child", "8": "Just got around to applying", "5": "Loss of job/wages/other income", "9": "Became disabled" } } }, "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" } } }, "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": "1299", "description": "Person number" } ] } }, "RMWKWJB": { "label": "LF: Number of weeks with a job in month", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "4": "4 weeks", "1": "1 week", "0": "0 weeks (that is, did not have a job)", "-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" } } }, "EOWNRNT": { "label": "AS: 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)" } } }, "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)" } } }, "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)" } } }, "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: Are the lunches free or are they 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" } } }, "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)" } } }, "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)" } } }, "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" } } }, "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" } ] } }, "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" } } }, "SSUID": { "label": "SU: Sample Unit Identifier", "predicateType": "string", "group": "N/A", "limit": 0 }, "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" } } }, "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" } } }, "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" } } }, "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" } } }, "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" } } }, "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": "14000", "description": "Amount in dollars" } ] } }, "TMLMSUM": { "label": "LF: Amount of income from moonlighting in this month", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "None or not in universe" }, "range": [ { "min": "1", "max": "50000", "description": "Dollars" } ] } }, "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" } } }, "SWAVE": { "label": "SU: Wave of data collection", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "range": [ { "min": "1", "max": "12", "description": "Wave of data collection" } ] } }, "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": "17400", "description": "Dollars" } ] } }, "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)" } } }, "ACSAGREE": { "label": "GI: Allocation flag for ECSAGREE", "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" } } }, "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": "1299", "description": "Person number" } ] } }, "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": "1299", "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" } } }, "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": "1299", "description": "Person number" } ] } }, "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" } } }, "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 the owner of the AFDC coverage", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "Not In Universe" }, "range": [ { "min": "101", "max": "1299", "description": "Person number" } ] } }, "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": { "8": "No payment received", "2": "Retirement", "6": "Retirement and survivor", "3": "Survivor", "-1": "Not in Universe" } } }, "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" } } }, "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": "1299", "description": "Person # of rel. subfamily reference person" } ] } }, "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" } } }, "TBSIND2": { "label": "BS: Industry code", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "15": "Public administration", "1": "Agriculture, forestry and fisheries", "5": "Manufacturing: durable goods", "14": "Professional and related services", "-1": "Not in Universe", "8": "Wholesale trade: nondurable goods", "2": "Mining", "6": "Transportation, communications and other public utilities", "7": "Wholesale Trade: durable goods", "10": "Finance, insurance and real estate", "11": "Business and repair services", "12": "Personal services", "4": "Manufacturing: nondurable goods", "13": "Entertainment and recreation services", "3": "Construction", "9": "Retail trade" } } }, "TBSIND1": { "label": "BS: Industry code", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "13": "Entertainment and recreation services", "14": "Professional and related services", "15": "Public administration", "7": "Wholesale Trade: durable goods", "8": "Wholesale trade: nondurable goods", "5": "Manufacturing: durable goods", "12": "Personal services", "-1": "Not in Universe", "6": "Transportation, communications and other public utilities", "11": "Business and repair services", "1": "Agriculture, forestry and fisheries", "3": "Construction", "9": "Retail trade", "10": "Finance, insurance and real estate", "2": "Mining", "4": "Manufacturing: nondurable goods" } } }, "RGB1R2": { "label": "GI: 2nd reason applying for General Asst the 1st time", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "2": "Pregnancy/birth of child", "7": "Just learned about program", "10": "Other, specify", "3": "Began receiving for another dependent", "4": "Separated or divorced from spouse/parent", "-1": "Not in Universe", "6": "Loss of other support income", "5": "Loss of job/wages/other income", "8": "Just got around to applying", "9": "Became disabled" } } }, "RGB1R1": { "label": "GI: 1st reason applying for General Asst the 1st time", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "8": "Just got around to applying", "3": "Began receiving for another dependent", "5": "Loss of job/wages/other income", "9": "Became disabled", "-1": "Not in Universe", "7": "Just learned about program", "2": "Pregnancy/birth of child", "4": "Separated or divorced from spouse/parent", "6": "Loss of other support income", "10": "Other, specify" } } }, "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" } } }, "TBDOINT": { "label": "AS: Amount of monthly interest from own municipal bonds", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "None or not in universe" }, "range": [ { "min": "1", "max": "12800", "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" } ] } }, "ESEX": { "label": "PE: Sex of this person", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "2": "Female", "1": "Male" } } }, "UENTDAY": { "label": "PE: UNEDITED VARIABLE - Day of month entered household", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "Not answered" }, "range": [ { "min": "1", "max": "31", "description": "Day of month" } ] } }, "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": "1299", "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" } } }, "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": "1299", "description": "Person number" } ] } }, "AACCESS": { "label": "HH: Allocation flag for EACCESS", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "No imputation", "3": "Logical imputation (derivation)", "4": "Statistical or logical imputation using previous wave data", "1": "Statistical imputation (hot deck)", "2": "Cold deck imputation" } } }, "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": "1299", "description": "Person number" } ] } }, "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": "1299", "description": "Person number" } ] } }, "TSJDATE2": { "label": "JB: Starting date of job", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "-1": "Not in Universe" }, "range": [ { "min": "19260101", "max": "20000228", "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" } } }, "TSJDATE1": { "label": "JB: Starting date of job", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "-1": "Not in Universe" }, "range": [ { "min": "19260101", "max": "20000228", "description": "Date" } ] } }, "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" } ] } }, "ESFR": { "label": "PE: Subfamily relationship", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "2": "Spouse of reference person of a rel. or unrel. subfamily", "0": "Not In Universe", "3": "Child (under 18) of reference person of a rel. or unrel. subfamily", "1": "Reference person of a rel. or unrel. 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": "5500", "description": "Dollars" } ] } }, "ESFT": { "label": "PE: Family type", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Secondary indiv (not a family member)", "4": "Primary Individual", "0": "Primary family", "2": "Unrelated subfamily", "3": "Related subfamily" } } }, "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" } ] } }, "RBLKLRSN": { "label": "GI: Reason for receipt of black lung payment", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "5": "Disability and Survivor", "1": "Disability", "-1": "Not in Universe", "3": "Survivor", "8": "No payment received" } } }, "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" } } }, "EAFSRVDI": { "label": "AF: Spouse died in military or service connected injury", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Yes", "2": "No", "-1": "Not in Universe" } } }, "AR09": { "label": "GI: Allocation flag for ER09", "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)" } } }, "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" } } }, "AR07": { "label": "GI: Allocation flag for ER07", "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" } } }, "ETENURE": { "label": "HH: Ownership status of living quarters", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Owned or being bought by you or someone in your hhld", "2": "Rented for cash", "3": "Occupied without payment of cash rent" } } }, "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" } } }, "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" } } }, "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": "-5000", "max": "9800", "description": "Dollars" } ] } }, "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" } } }, "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", "1": "Statistical imputation (hot deck)", "4": "Statistical or logical imputation using previous wave data" } } }, "RPRVHI": { "label": "HI: Recode for types of private health insurance coverage", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "-1": "Not in Universe", "1": "Employer or union provided", "2": "Privately purchased" } } }, "EPNSPOUS": { "label": "PE: Person number of spouse", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "9999": "Spouse not in hhld or person not married" }, "range": [ { "min": "101", "max": "1299", "description": "Person number" } ] } }, "AMDJTINT": { "label": "AS: Allocation flag for TMDJTINT", "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" } } }, "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" } ] } }, "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" } } }, "SHHADID": { "label": "SU: Hhld Address ID differentiates hhlds in sample unit", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "range": [ { "min": "11", "max": "121", "description": "Household Address ID" } ] } }, "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": { "622": "Miscellaneous vehicle dealers (555, 556, 557, 559)", "502": "Lumber and construction materials (503)", "192": "Industrial and miscellaneous chemicals (281, 286, 289)", "871": "Social services, n.e.c. (832, 839)", "632": "Stores, household appliance (572)", "512": "Electrical goods (506)", "400": "Railroads (40)", "401": "Bus service and urban transit (41, except 412)", "771": "Laundry, cleaning, and garment services (721 except part 7219)", "772": "Beauty shops (723)", "893": "Miscellaneous professional and rel. services (899)", "410": "Trucking service (421, 423)", "670": "Vending machine operators (5962)", "671": "Direct selling establishments (5963)", "551": "Farm-product raw materials (515)", "320": "Metalworking machinery (354)", "211": "Other rubber products, and plastics footwear and belting (302-306)", "340": "Household appliances (363)", "900": "Executive and legislative offices (911-913)", "592": "Variety stores (533)", "352": "Aircraft and parts (372)", "232": "Wood buildings and mobile homes (245)", "360": "Ship and boat building and repairing (373)", "241": "Miscellaneous wood products (244, 249)", "802": "Bowling centers (793)", "370": "Cycles and miscellaneous transportation equipment (375, 379)", "132": "Knitting mills (225)", "930": "Environmental quality and housing programs administration(95)", "42": "Oil and gas extraction (13)", "392": "Not spec manufacturing industries", "152": "Miscellaneous fabricated textile products (239)", "162": "Paperboard containers and boxes (265)", "182": "Soaps and cosmetics (284)", "621": "Gasoline service stations (554)", "863": "Family child care homes (part 835)", "872": "Museums, art galleries, and zoos (84)", "880": "Religious organizations (866)", "882": "Engineering, architectural, and surveying services (871)", "641": "Eating and drinking places (58)", "890": "Accounting, auditing, and bookkeeping services (872)", "531": "Scrap and waste materials (5093)", "412": "U.S. Postal Service (43)", "660": "Jewelry stores (5944)", "781": "Funeral service and crematories (726)", "782": "Shoe repair shops (725)", "300": "Misc fabricated metal products (341, 343, 347, 349)", "663": "Catalog and mail order houses (5961)", "422": "Pipe lines, except natural gas (46)", "432": "Services incidental to transportation (47)", "312": "Construction and material handling machines (353)", "681": "Retail florists (5992)", "561": "Farm supplies (5191)", "441": "Telephone communications (481)", "451": "Gas and steam supply systems (492, 496)", "212": "Miscellaneous plastics products (308)", "102": "Canned, frozen and preserved fruits and vegetables (203)", "472": "Not specified utilities", "800": "Theaters and motion pictures (781-783, 792)", "250": "Glass and glass products (321-323)", "932": "National security and international affairs (97)", "41": "Coal mining (12)", "390": "Toys, amusement, and sporting goods (394)", "602": "Stores, dairy products (545)", "291": "Metal forgings and stampings (346)", "292": "Ordnance (348)", "850": "Colleges and universities (822)", "181": "Drugs (283)", "620": "Stores, Auto and home supply (553)", "623": "Stores, apparel and accessory, except shoe (56, except 566)", "191": "Agricultural chemicals (287)", "510": "Professional and commercial equipment and supplies (504)", "752": "Electrical repair shops (762, 7694)", "402": "Taxicab service (412)", "892": "Management and public relations services (874)", "221": "Footwear, except rubber and plastic (313, 314)", "342": "Electrical machinery, equipment, and supplies, n.e.c. (361, 362, 364, 367, 369)", "471": "Sanitary services (495)", "230": "Logging (241)", "910": "Justice, public order, and safety (92)", "12": "Veterinary services (074)", "120": "Beverage industries (208)", "252": "Structural clay products (325)", "31": "Forestry (08)", "261": "Pottery and related products (326)", "262": "Miscellaneous nonmetallic mineral and stone products (328, 329)", "820": "Dentists offices and clinics (802)", "702": "Credit agencies, n.e.c. (61)", "270": "Blast furnaces, steelworks, rolling and finishing mills (331)", "150": "Miscellaneous textile mill products (229)", "271": "Iron and steel foundries (332)", "711": "Insurance (63, 64)", "160": "Pulp, paper, and paperboard mills (261-263)", "841": "Legal services (81)", "601": "Grocery stores (541)", "60": "CONSTRUCTION (15, 16, 17)", "851": "Vocational schools (824)", "740": "Detective and protective services (7381, 7382)", "741": "Business services, n.e.c. (732, 733, 735, 7383-7389)", "991": "Persons whose labor force status is unemployed and whose last job was Armed Forces", "630": "Shoe stores (566)", "511": "Metals and minerals, except petroleum (505)", "650": "Liquor stores (592)", "651": "Stores, sporting goods, bicycles, and hobby (5941, 5945, 5946)", "541": "Drugs, chemicals and allied products (512, 516)", "301": "Not specified metal industries", "550": "Groceries and related products (514)", "552": "Petroleum products (517)", "440": "Radio and television broadcasting and cable (483, 484)", "682": "Stores, Miscellaneous retail (593, 5948, 5993-5995, 5999)", "322": "Computers and rel. equipment (3571-3577)", "571": "Not specified wholesale trade", "100": "Meat products (201)", "590": "Mobile home dealers (527)", "470": "Water supply and irrigation (494, 497)", "351": "Motor vehicles and motor vehicle equipment (371)", "11": "Agricltrl production, livestock (02)", "372": "Medical, dental, and optical instruments and supplies (3827, 384, 385)", "380": "Photographic equipment and supplies (386)", "381": "Watches, clocks, and clockwork operated devices (387)", "142": "Yarn, thread, and fabric mills (221-224, 228)", "822": "Optometrists offices and clinics (8042)", "721": "Advertising (731)", "290": "Screw machine products (345)", "610": "Retail bakeries (546)", "731": "Personnel supply services (736)", "852": "Libraries (823)", "732": "Computer and data processing services (737)", "860": "Educational services, n.e.c. (829)", "862": "Child day care services (part 835)", "742": "Automotive rental and leasing, w/out drivers (751)", "870": "Residential care facilities, w/out nursing (836)", "750": "Automotive parking and carwashes (752, 7542)", "751": "Automotive repair and rel. services (753, 7549)", "633": "Stores, radio, TV, and computer (5731, 5734)", "881": "Membership organizations, n.e.c. (861, 862, 864, 865, 869)", "640": "Music stores (5735, 5736)", "762": "Hotels and motels (701)", "891": "Research, development, and testing services (873)", "411": "Warehousing and storage (422)", "780": "Barber shops (724)", "421": "Air transportation (45)", "790": "Dressmaking shops (part 7219)", "672": "Fuel dealers (598)", "220": "Leather tanning and finishing (311)", "341": "Radio, TV, and communication equipment (365, 366)", "901": "General government, n.e.c. (919)", "362": "Guided missiles, space vehicles, and parts (376)", "921": "Public finance, taxation, and monetary policy (93)", "371": "Scientific and controlling instruments (381, 382 except 3827)", "130": "Tobacco manufactures (21)", "30": "Agricultural services, n.e.c. (071, 072, 075, 076)", "151": "Apparel and accessories, except knit (231-238)", "830": "Health practitioners offices and clinics, n.e.c. (8043, 8049)", "831": "HOSPITALS (806)", "281": "Cutlery, handtools, and general hardware (342)", "840": "Health services, n.e.c. (807, 808, 809)", "171": "Newspaper publishing and printing (271)", "190": "Paints, varnishes, and rel. products (285)", "631": "Stores, furniture and home furnishings (571)", "873": "Labor unions (863)", "760": "Misc repair services (763, 764, 7692, 7699)", "761": "PRIVATE HOUSEHOLDS (88)", "521": "Hardware, plumbing and heating supplies (507)", "540": "Paper and paper products (511)", "661": "Gift, novelty, and souvenir shops (5947)", "662": "Sewing, needlework and piece goods stores (5949)", "542": "Apparel, fabrics, and notions (513)", "691": "Not specified retail trade", "110": "Grain mill products (204)", "801": "Video tape rental (784)", "922": "Human resources programs administration(94)", "812": "Physicians offices and clinics (801, 803)", "140": "Dyeing and finishing textiles, except wool and knit goods (226)", "272": "Primary aluminum industries (3334, part 334, 3353-3355, 3363, 3365)", "50": "Nonmetallic mining and quarrying, except fuel (14)", "600": "Stores, misc general merchandise (539)", "842": "Elementary and secondary schools (821)", "611": "Food stores, n.e.c. (542, 543, 544, 549)", "612": "Motor vehicle dealers (551, 552)", "180": "Plastics, synthetics, and resins (282)", "861": "Job training and vocational rehabilitation services (833)", "501": "Furniture and home furnishings (502)", "770": "Lodging places, except hotels and motels (702, 703, 704)", "530": "Machinery, equipment, and supplies (508)", "532": "Miscellaneous wholesale, durable goods (509 except 5093)", "420": "Water transportation (44)", "310": "Engines and turbines (351)", "311": "Farm machinery and equipment (352)", "200": "Petroleum refining (291)", "442": "Telegraph and miscellaneous communications services (482, 489)", "201": "Miscellaneous petroleum and coal products (295, 299)", "210": "Tires and inner tubes (301)", "580": "Lumber and building material retailing (521, 523)", "582": "Stores, Retail nurseries and garden (526)", "101": "Dairy products (202)", "350": "Not specified electrical machinery, equipment, and supplies", "231": "Sawmills, planing mills, and millwork (242, 243)", "111": "Bakery products (205)", "112": "Sugar and confectionery products (206)", "361": "Railroad locomotives and equipment (374)", "242": "Furniture and fixtures (25)", "20": "Landscape and horticultural services (078)", "251": "Cement, concrete, gypsum, and plaster products (324, 327)", "810": "Miscellaneous entertainment and recreation services (791, 794, 799)", "931": "Economic programs administration(96)", "141": "Carpets and rugs (227)", "700": "Banking (60 except 603 and 606)", "701": "Savings institutions, including credit unions (603, 606)", "40": "Metal mining (10)", "710": "Security, commodity brokerage, and investment companies (62, 67)", "832": "Nursing and personal care facilities (805)", "161": "Miscellaneous paper and pulp products (267)", "722": "Services to dwellings and other buildings (734)", "172": "Printing, publishing, and allied industries, except newspapers (272-279)", "500": "Motor vehcls and equipment (501)", "642": "Drug stores (591)", "652": "Stores, Book and stationery (5942, 5943)", "791": "Misc personal services (722, 729)", "-1": "Not in Universe", "560": "Alcoholic beverages (518)", "562": "Misc wholesale, nondurable goods (5192-5199)", "321": "Office and accounting machines (3578, 3579)", "450": "Electric light and power (491)", "331": "Machinery, except electrical, n.e.c. (355, 356, 358, 359)", "452": "Electric and gas, and other combinations (493)", "332": "Not specified machinery", "581": "Hardware stores (525)", "222": "Leather products, except footwear (315-317, 319)", "591": "Department stores (531)", "10": "Agricultural production, crops (01)", "121": "Miscellaneous food preparations and kindred products (207, 209)", "122": "Not specified food industries", "32": "Fishing, hunting, and trapping (09)", "821": "Chiropractors offices and clinics (8041)", "391": "Miscellaneous manufacturing industries (39 except 394)", "712": "Real estate, including real estate-insurance offices (65)", "280": "Other primary metal industries (3331,3339, part 334,3351,3356-57,3364,3366,3369,339)", "282": "Fabricated structural metal products (344)" } } }, "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" } ] } }, "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" } } }, "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)" } } }, "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)" } } }, "AR12": { "label": "GI: Allocation flag for ER12", "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)" } } }, "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" } } }, "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" } } }, "EJBIND1": { "label": "JB: Industry code", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "592": "Variety stores (533)", "231": "Sawmills, planing mills, and millwork (242, 243)", "120": "Beverage industries (208)", "121": "Miscellaneous food preparations and kindred products (207, 209)", "20": "Landscape and horticultural services (078)", "371": "Scientific and controlling instruments (381, 382 except 3827)", "252": "Structural clay products (325)", "381": "Watches, clocks, and clockwork operated devices (387)", "822": "Optometrists offices and clinics (8042)", "40": "Metal mining (10)", "390": "Toys, amusement, and sporting goods (394)", "830": "Health practitioners offices and clinics, n.e.c. (8043, 8049)", "280": "Other primary metal industries (3331,3339, part 334,3351,3356-57,3364,3366,3369,339)", "600": "Stores, misc general merchandise (539)", "722": "Services to dwellings and other buildings (734)", "60": "CONSTRUCTION (15, 16, 17)", "292": "Ordnance (348)", "850": "Colleges and universities (822)", "611": "Food stores, n.e.c. (542, 543, 544, 549)", "181": "Drugs (283)", "861": "Job training and vocational rehabilitation services (833)", "741": "Business services, n.e.c. (732, 733, 735, 7383-7389)", "870": "Residential care facilities, w/out nursing (836)", "881": "Membership organizations, n.e.c. (861, 862, 864, 865, 869)", "761": "PRIVATE HOUSEHOLDS (88)", "770": "Lodging places, except hotels and motels (702, 703, 704)", "891": "Research, development, and testing services (873)", "771": "Laundry, cleaning, and garment services (721 except part 7219)", "892": "Management and public relations services (874)", "651": "Stores, sporting goods, bicycles, and hobby (5941, 5945, 5946)", "411": "Warehousing and storage (422)", "552": "Petroleum products (517)", "681": "Retail florists (5992)", "440": "Radio and television broadcasting and cable (483, 484)", "561": "Farm supplies (5191)", "320": "Metalworking machinery (354)", "450": "Electric light and power (491)", "452": "Electric and gas, and other combinations (493)", "581": "Hardware stores (525)", "220": "Leather tanning and finishing (311)", "901": "General government, n.e.c. (919)", "590": "Mobile home dealers (527)", "352": "Aircraft and parts (372)", "362": "Guided missiles, space vehicles, and parts (376)", "930": "Environmental quality and housing programs administration(95)", "932": "National security and international affairs (97)", "32": "Fishing, hunting, and trapping (09)", "380": "Photographic equipment and supplies (386)", "820": "Dentists offices and clinics (802)", "610": "Retail bakeries (546)", "731": "Personnel supply services (736)", "620": "Stores, Auto and home supply (553)", "500": "Motor vehcls and equipment (501)", "502": "Lumber and construction materials (503)", "991": "Persons whose labor force status is unemployed and whose last job was Armed Forces", "871": "Social services, n.e.c. (832, 839)", "751": "Automotive repair and rel. services (753, 7549)", "400": "Railroads (40)", "521": "Hardware, plumbing and heating supplies (507)", "642": "Drug stores (591)", "212": "Miscellaneous plastics products (308)", "582": "Stores, Retail nurseries and garden (526)", "222": "Leather products, except footwear (315-317, 319)", "900": "Executive and legislative offices (911-913)", "470": "Water supply and irrigation (494, 497)", "351": "Motor vehicles and motor vehicle equipment (371)", "112": "Sugar and confectionery products (206)", "10": "Agricultural production, crops (01)", "11": "Agricltrl production, livestock (02)", "360": "Ship and boat building and repairing (373)", "801": "Video tape rental (784)", "802": "Bowling centers (793)", "130": "Tobacco manufactures (21)", "132": "Knitting mills (225)", "812": "Physicians offices and clinics (801, 803)", "140": "Dyeing and finishing textiles, except wool and knit goods (226)", "150": "Miscellaneous textile mill products (229)", "151": "Apparel and accessories, except knit (231-238)", "712": "Real estate, including real estate-insurance offices (65)", "840": "Health services, n.e.c. (807, 808, 809)", "602": "Stores, dairy products (545)", "291": "Metal forgings and stampings (346)", "732": "Computer and data processing services (737)", "180": "Plastics, synthetics, and resins (282)", "192": "Industrial and miscellaneous chemicals (281, 286, 289)", "510": "Professional and commercial equipment and supplies (504)", "632": "Stores, household appliance (572)", "633": "Stores, radio, TV, and computer (5731, 5734)", "640": "Music stores (5735, 5736)", "882": "Engineering, architectural, and surveying services (871)", "641": "Eating and drinking places (58)", "401": "Bus service and urban transit (41, except 412)", "650": "Liquor stores (592)", "531": "Scrap and waste materials (5093)", "532": "Miscellaneous wholesale, durable goods (509 except 5093)", "780": "Barber shops (724)", "540": "Paper and paper products (511)", "541": "Drugs, chemicals and allied products (512, 516)", "422": "Pipe lines, except natural gas (46)", "670": "Vending machine operators (5962)", "671": "Direct selling establishments (5963)", "322": "Computers and rel. equipment (3571-3577)", "340": "Household appliances (363)", "591": "Department stores (531)", "810": "Miscellaneous entertainment and recreation services (791, 794, 799)", "701": "Savings institutions, including credit unions (603, 606)", "42": "Oil and gas extraction (13)", "271": "Iron and steel foundries (332)", "710": "Security, commodity brokerage, and investment companies (62, 67)", "832": "Nursing and personal care facilities (805)", "851": "Vocational schools (824)", "852": "Libraries (823)", "742": "Automotive rental and leasing, w/out drivers (751)", "191": "Agricultural chemicals (287)", "662": "Sewing, needlework and piece goods stores (5949)", "441": "Telephone communications (481)", "321": "Office and accounting machines (3578, 3579)", "691": "Not specified retail trade", "341": "Radio, TV, and communication equipment (365, 366)", "100": "Meat products (201)", "221": "Footwear, except rubber and plastic (313, 314)", "471": "Sanitary services (495)", "910": "Justice, public order, and safety (92)", "922": "Human resources programs administration(94)", "392": "Not spec manufacturing industries", "272": "Primary aluminum industries (3334, part 334, 3353-3355, 3363, 3365)", "50": "Nonmetallic mining and quarrying, except fuel (14)", "160": "Pulp, paper, and paperboard mills (261-263)", "161": "Miscellaneous paper and pulp products (267)", "162": "Paperboard containers and boxes (265)", "501": "Furniture and home furnishings (502)", "623": "Stores, apparel and accessory, except shoe (56, except 566)", "190": "Paints, varnishes, and rel. products (285)", "402": "Taxicab service (412)", "530": "Machinery, equipment, and supplies (508)", "893": "Miscellaneous professional and rel. services (899)", "652": "Stores, Book and stationery (5942, 5943)", "660": "Jewelry stores (5944)", "782": "Shoe repair shops (725)", "420": "Water transportation (44)", "421": "Air transportation (45)", "542": "Apparel, fabrics, and notions (513)", "550": "Groceries and related products (514)", "672": "Fuel dealers (598)", "-1": "Not in Universe", "560": "Alcoholic beverages (518)", "201": "Miscellaneous petroleum and coal products (295, 299)", "210": "Tires and inner tubes (301)", "580": "Lumber and building material retailing (521, 523)", "101": "Dairy products (202)", "12": "Veterinary services (074)", "241": "Miscellaneous wood products (244, 249)", "242": "Furniture and fixtures (25)", "921": "Public finance, taxation, and monetary policy (93)", "250": "Glass and glass products (321-323)", "261": "Pottery and related products (326)", "262": "Miscellaneous nonmetallic mineral and stone products (328, 329)", "700": "Banking (60 except 603 and 606)", "270": "Blast furnaces, steelworks, rolling and finishing mills (331)", "391": "Miscellaneous manufacturing industries (39 except 394)", "711": "Insurance (63, 64)", "281": "Cutlery, handtools, and general hardware (342)", "282": "Fabricated structural metal products (344)", "721": "Advertising (731)", "842": "Elementary and secondary schools (821)", "601": "Grocery stores (541)", "290": "Screw machine products (345)", "171": "Newspaper publishing and printing (271)", "740": "Detective and protective services (7381, 7382)", "863": "Family child care homes (part 835)", "752": "Electrical repair shops (762, 7694)", "772": "Beauty shops (723)", "410": "Trucking service (421, 423)", "781": "Funeral service and crematories (726)", "300": "Misc fabricated metal products (341, 343, 347, 349)", "663": "Catalog and mail order houses (5961)", "301": "Not specified metal industries", "312": "Construction and material handling machines (353)", "331": "Machinery, except electrical, n.e.c. (355, 356, 358, 359)", "102": "Canned, frozen and preserved fruits and vegetables (203)", "230": "Logging (241)", "111": "Bakery products (205)", "361": "Railroad locomotives and equipment (374)", "122": "Not specified food industries", "800": "Theaters and motion pictures (781-783, 792)", "370": "Cycles and miscellaneous transportation equipment (375, 379)", "251": "Cement, concrete, gypsum, and plaster products (324, 327)", "30": "Agricultural services, n.e.c. (071, 072, 075, 076)", "141": "Carpets and rugs (227)", "142": "Yarn, thread, and fabric mills (221-224, 228)", "152": "Miscellaneous fabricated textile products (239)", "831": "HOSPITALS (806)", "172": "Printing, publishing, and allied industries, except newspapers (272-279)", "182": "Soaps and cosmetics (284)", "860": "Educational services, n.e.c. (829)", "622": "Miscellaneous vehicle dealers (555, 556, 557, 559)", "750": "Automotive parking and carwashes (752, 7542)", "630": "Shoe stores (566)", "872": "Museums, art galleries, and zoos (84)", "511": "Metals and minerals, except petroleum (505)", "512": "Electrical goods (506)", "880": "Religious organizations (866)", "762": "Hotels and motels (701)", "890": "Accounting, auditing, and bookkeeping services (872)", "412": "U.S. Postal Service (43)", "790": "Dressmaking shops (part 7219)", "791": "Misc personal services (722, 729)", "311": "Farm machinery and equipment (352)", "682": "Stores, Miscellaneous retail (593, 5948, 5993-5995, 5999)", "562": "Misc wholesale, nondurable goods (5192-5199)", "571": "Not specified wholesale trade", "451": "Gas and steam supply systems (492, 496)", "332": "Not specified machinery", "342": "Electrical machinery, equipment, and supplies, n.e.c. (361, 362, 364, 367, 369)", "350": "Not specified electrical machinery, equipment, and supplies", "472": "Not specified utilities", "110": "Grain mill products (204)", "232": "Wood buildings and mobile homes (245)", "372": "Medical, dental, and optical instruments and supplies (3827, 384, 385)", "931": "Economic programs administration(96)", "31": "Forestry (08)", "821": "Chiropractors offices and clinics (8041)", "702": "Credit agencies, n.e.c. (61)", "41": "Coal mining (12)", "841": "Legal services (81)", "612": "Motor vehicle dealers (551, 552)", "862": "Child day care services (part 835)", "621": "Gasoline service stations (554)", "631": "Stores, furniture and home furnishings (571)", "873": "Labor unions (863)", "760": "Misc repair services (763, 764, 7692, 7699)", "661": "Gift, novelty, and souvenir shops (5947)", "551": "Farm-product raw materials (515)", "310": "Engines and turbines (351)", "432": "Services incidental to transportation (47)", "200": "Petroleum refining (291)", "442": "Telegraph and miscellaneous communications services (482, 489)", "211": "Other rubber products, and plastics footwear and belting (302-306)" } } }, "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" } } }, "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)" } } }, "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": "0", "max": "1500000", "description": "Dollar amount" } ] } }, "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 rel 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" } } }, "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" } } }, "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" } } }, "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)" } } }, "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" } } }, "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)" } } }, "EORIGIN": { "label": "PE: Origin of this person", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "27": "Dominican Republic", "10": "Polish", "1": "Canadian", "20": "Mexican", "30": "African-American or Afro-American", "15": "Slovak", "16": "Welsh", "3": "English", "7": "Hungarian", "21": "Mexican-American", "31": "American Indian, Eskimo, or Aleut", "24": "Cuban", "33": "Asian", "13": "Scotch-Irish", "26": "South American", "32": "Arab", "17": "Other European", "25": "Central American", "28": "Other Hispanic", "12": "Scandinavian", "34": "Pacific Islander", "14": "Scottish", "4": "French", "22": "Chicano", "23": "Puerto Rican", "11": "Russian", "35": "West Indian", "39": "Another group not listed", "2": "Dutch", "5": "French-Canadian", "6": "German", "8": "Irish", "9": "Italian", "40": "American" } } }, "ROB1R2": { "label": "GI: 2nd reason applying for Other Welfare the 1st time", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "6": "Loss of other support income", "3": "Began receiving for another dependent", "4": "Separated or divorced from spouse/parent", "9": "Became disabled", "-1": "Not in Universe", "8": "Just got around to applying", "2": "Pregnancy/birth of child", "5": "Loss of job/wages/other income", "7": "Just learned about program", "10": "Other, specify" } } }, "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" } } }, "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" } } }, "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" } ] } }, "AR26": { "label": "GI: Allocation flag for ER26", "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" } } }, "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)" } } }, "ROB1R1": { "label": "GI: 1st reason applying for Other Welfare the 1st time", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "2": "Pregnancy/birth of child", "3": "Began receiving for another dependent", "4": "Separated or divorced from spouse/parent", "5": "Loss of job/wages/other income", "8": "Just got around to applying", "9": "Became disabled", "6": "Loss of other support income", "10": "Other, specify", "7": "Just learned about program", "-1": "Not in Universe" } } }, "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)" } } }, "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" } } }, "T12AMT": { "label": "GI: Amount of employer/union temp. sickness 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" } ] } }, "EAST4A": { "label": "AS: Rental property owned", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "-1": "Not in Universe", "1": "Yes", "2": "No" } } }, "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" } } }, "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)" } } }, "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": { "6": "administrators, protective services (1131)", "833": "Marine engineers (8244)", "725": "Misc metal and plastic processing machine operators (7349, 7549)", "727": "Sawing machine operators (7433, 7633)", "729": "Nailing and tacking machine operators (7636)", "734": "Printing press operators (7443, 7643)", "615": "Explosives workers (653)", "859": "Misc material moving equipment operators (8319)", "875": "Garbage collectors (8722)", "517": "Farm equipment mechanics (6118)", "518": "Industrial machinery repairers (613)", "639": "Machinist apprentices (part 6813)", "403": "Launderers and ironers (503)", "404": "Cooks, private household (504)", "413": "Supervisors, firefighting and fire prevention occupations(5111)", "303": "Supervisors, general office (4511, 4513, 4514, 4516, 4519, 4529)", "426": "Guards and police, except public service (5144)", "668": "Upholsterers (6853)", "307": "Supervisors, distribution, scheduling, and adjusting clerks (4522, 4524-4528)", "313": "Secretaries (4622)", "556": "Supervisors, painters, paperhangers, and plasterers (6315)", "557": "Supervisors, plumbers, pipefitters, and steamfitters (6316)", "317": "Hotel clerks (4643)", "319": "Receptionists (4645)", "683": "Electrical/electronic equipment assemblers (6867)", "684": "Msc precision workers, n.e.c. (6869)", "687": "Bakers (6872)", "567": "Carpenters (part 6422)", "448": "Supervisors, cleaning and building service workers (5241)", "453": "Janitors and cleaners (5244)", "577": "Electrical power installers and repairers (6433)", "458": "Hairdressers and cosmetologists (5253)", "461": "Guides (5255)", "346": "Mail preparing and paper handling machine operators (4723)", "105": "Therapists, n.e.c. (3039)", "18": "managers, properties and real estate (1353)", "483": "Marine life cultivation workers (5618)", "364": "Traffic, shipping, and receiving clerks (4753)", "125": "Sociology teachers (2224)", "24": "underwriters (1414)", "27": "personnel, training, and labor relations specialists (143)", "29": "buyers, wholesale and retail trade except farm products (1442)", "495": "Forestry workers, except logging (572)", "255": "Securities and financial services sales occupations (4124)", "135": "Business, commerce, and marketing teachers (2233)", "378": "Bill and account collectors (4786)", "499": "Hunters and trappers (584)", "137": "Art, drama, and music teachers (2235)", "35": "construction inspectors (1472)", "143": "English teachers (2238)", "265": "Sales workers, shoes (4351)", "266": "Sales workers, furniture and home furnishings (4348)", "389": "Administrative support occupations, n.e.c. (4787, 4799)", "43": "architects (161)", "274": "Sales workers, other commodities (4345, 4347, 4354, 4356, 4359, 4362, 4369)", "168": "Sociologists (1916)", "173": "Urban planners (192)", "79": "Forestry and conservation scientists (1852)", "184": "Technical writers (398)", "4": "chief executives and general administrators, public administration (112)", "7": "financial managers (122)", "704": "Operators, lathe and turning machine (7512)", "825": "Railroad brake, signal, and switch operators (8233)", "705": "Milling and planing machine operators (7313, 7513)", "844": "Operating engineers (8312)", "848": "Hoist and winch operators (8314)", "747": "Pressing machine operators (7657)", "749": "Miscellaneous textile machine operators (7459, 7659)", "508": "Aircraft engine mechanics (6113)", "877": "Stock handlers and baggers (8724)", "765": "Folding machine operators (7474, 7674)", "887": "Vehicle washers and equipment cleaners (875)", "407": "Private hhld cleaners and servants (502, 507, 509)", "533": "Miscellaneous electrical and electronic equipment repairers (6152, 6159)", "655": "Misc precision metal workers (6829)", "784": "Solderers and brazers (7333, 7533, 7717)", "666": "Dressmakers (part 6852, part 7752)", "305": "Supervisors, financial records processing (4521)", "547": "Specified mechanics and repairers, n.e.c. (6177, 6179)", "554": "Supervisors, carpenters and rel. workers (6313)", "675": "Hand molders and shapers, except jewelers (6861)", "434": "Bartenders (5212)", "439": "Kitchen workers, food preparation (5217)", "446": "Health aides, except nursing (5233)", "326": "Correspondence clerks (4663)", "206": "Radiologic technicians (365)", "327": "Order clerks (4664)", "454": "Elevator operators (5245)", "455": "Pest control occupations (5246)", "215": "Mechanical engineering technicians (3713)", "339": "Billing clerks (4715)", "224": "Chemical technicians (3831)", "466": "Family child care providers (part 5264)", "467": "Early childhood teacher's assistants (part 5264)", "227": "Air traffic controllers (392)", "348": "Telephone operators (4732)", "356": "Mail clerks, except postal service (4744)", "477": "Supervisors, farm workers (5611)", "119": "Economics teachers (2218)", "486": "Groundskeepers and gardeners, except farm (5622)", "124": "Political science teachers (2223)", "129": "Computer science teachers (2228)", "373": "Expediters (4758)", "494": "Supervisors, forestry and logging workers (571)", "496": "Timber cutting and logging occupations (573, 579)", "256": "Advertising and rel. sales occupations (4153)", "37": "management rel. occupations, n.e.c. (149)", "384": "Proofreaders (4792)", "264": "Sales workers, apparel (4346)", "386": "Statistical clerks (4794)", "147": "Theology teachers (2245)", "268": "Sales workers, hardware and building supplies (4353)", "149": "Home economics teachers (2247)", "154": "Postsecondary teachers, subject not specified", "155": "Teachers, prekindergarten and kindergarten (231)", "56": "Engineers, industrial (1634)", "63": "surveyors and mapping scientists (164)", "75": "Geologists and geodesists (1847)", "83": "Medical scientists (1855)", "87": "Optometrists (281)", "199": "Athletes (34)", "95": "Registered nurses (29)", "99": "Occupational therapists (3032)", "8": "personnel and labor relations managers (123)", "804": "Truck drivers (8212-8214)", "809": "Taxicab drivers and chauffeurs (8216)", "826": "Rail vehicle operators, n.e.c. (8239)", "708": "Drilling and boring machine operators (7318, 7518)", "709": "Grinding, abrading, buffing, and polishing machine operators (7322, 7324, 7522)", "723": "Metal plating machine operators (7343, 7543)", "614": "Drillers, oil well (652)", "856": "Industrial truck and tractor equipment operators (8318)", "737": "Miscellaneous printing machine operators (6849, 7449, 7649", "866": "Helpers, construction trades (8641-8645, 8648)", "514": "Automobile body and rel. repairers (6115)", "636": "Precision assemblers, metal (6812)", "759": "Painting and paint spraying machine operators (7669)", "764": "Washing, cleaning, and pickling machine operators (7673)", "766": "Furnace, kiln, and oven operators, except food (7675)", "526": "Hhld appliance and power tool repairers (6156)", "889": "Laborers, except construction (8769)", "527": "Telephone line installers and repairers (6157)", "657": "Cabinet makers and bench carpenters (6832)", "538": "Office machine repairers (6174)", "783": "Welders and cutters (7332, 7532, 7714)", "424": "Correctional institution officers (5133)", "787": "Hand molding, casting, and forming occupations (7754, 7755)", "304": "Supervisors, computer equipment operators (4512)", "549": "Not specified mechanics and repairers", "555": "Supervisors, electricians and power transmission installers (6314)", "797": "Production testers (783)", "798": "Production samplers and weighers (784)", "203": "Clinical laboratory technologists and technicians (362)", "204": "Dental hygienists (363)", "205": "Health record technologists and technicians (364)", "579": "Painters, construction and maintenance (6442)", "464": "Baggage porters and bellhops (5262)", "345": "Duplicating machine operators (4722)", "225": "Science technicians, n.e.c. (3832, 3833, 384, 389)", "226": "Airplane pilots and navigators (825)", "589": "Glaziers (6464)", "474": "Horticultural specialty farmers (5515)", "234": "Legal assistants (396)", "476": "Managers, horticultural specialty farms (5525)", "118": "Psychology teachers (2217)", "13": "managers, marketing, advertising, and public relations (125)", "17": "managers, food serving and lodging establishments (1351)", "21": "managers, service organizations, n.e.c. (127, 1352, 1354, part 1359)", "26": "management analysts (142)", "253": "Insurance sales occupations (4122)", "379": "General office clerks (463)", "146": "Social work teachers (2244)", "269": "Sales workers, parts (4367)", "278": "News vendors (4365)", "176": "Clergy (2042)", "178": "Lawyers and Judges", "186": "Musicians and composers (323)", "96": "Pharmacists (301)", "814": "Motor transportation occupations, n.e.c. (8219)", "824": "Locomotive operating occupations (8232)", "828": "Ship captains and mates, except fishing boats (part 8241, 8242)", "717": "Fabricating machine operators, n.e.c. (7339, 7539)", "719": "Molding and casting machine operators (7315, 7342, 7515, 7524)", "724": "Heat treating equipment operators (7344, 7544)", "845": "Longshore equipment operators (8313)", "853": "Excavating and loading machine operators (8316)", "735": "Photoengravers and lithographers (6842, 7444, 7644)", "867": "Helpers, surveyor (8646)", "509": "Small engine repairers (6114)", "753": "Cementing and gluing machine operators (7661)", "876": "Stevedores (8723)", "644": "Precision grinders, filers, and tool sharpeners (6816)", "768": "Crushing and grinding machine operators (part 7477, part 7677)", "414": "Supervisors, police and detectives (5112)", "659": "Misc precision woodworkers (6839)", "539": "Mechanical controls and valve repairers (6175)", "544": "Millwrights (6178)", "667": "Tailors (part 6852)", "789": "Hand painting, coating, and decorating occupations (7756)", "306": "Chief communications operators (4523)", "427": "Protective service occupations, n.e.c. (5149)", "308": "Computer operators (4612)", "795": "Miscellaneous hand working occupations (7758, 7759)", "433": "Supervisors, food preparation and service occupations(5211)", "796": "Production inspectors, checkers, and examiners (782, 787)", "315": "Typists (4624)", "799": "Graders and sorters, except agricultural (785)", "679": "Bookbinders (6844)", "318": "Transportation ticket and reservation agents (4644)", "563": "Brickmasons and stonemasons (part 6412, part 6413)", "329": "Library clerks (4694)", "693": "Adjusters and calibrators (6882)", "213": "Electrical and electronic technicians (3711)", "462": "Ushers (5256)", "103": "Physical therapists (3033)", "468": "Child care wrkrs, n.e.c. (part 5264)", "106": "Physicians' assistants (304)", "229": "Computer programmers (3971, 3972)", "235": "Technicians, n.e.c. (399)", "598": "Drillers, earth (6474)", "599": "Construction trades, n.e.c. (6467, 6475, 6476, 6479)", "359": "Dispatchers (4751)", "243": "Supervisors and Proprietors, Sales Occupations (40)", "365": "Stock and inventory clerks (4754)", "489": "Inspectors, agricultural products (5627)", "133": "Medical science teachers (2231)", "139": "Education teachers (2237)", "33": "purch. agents and buyers, n.e.c. (1449)", "34": "business and promotion agents (145)", "263": "Sales workers, motor vehicles and boats (4342, 4344)", "144": "Foreign language teachers (2242)", "275": "Sales counter clerks (4363)", "276": "Cashiers (4364)", "157": "Teachers, secondary school (233)", "58": "marine and naval architects (1637)", "65": "operations and systems researchers and analysts (172)", "66": "Actuaries (1732)", "68": "Mathematical scientists, n.e.c. (1739)", "69": "Physicists and astronomers (1842, 1843)", "175": "Recreation workers (2033)", "177": "Religious workers, n.e.c. (2049)", "188": "Painters, sculptors, craft-artists, and artist printmakers (325)", "189": "Photographers (326)", "194": "Artists, performers, and rel. workers, n.e.c. (328,329)", "905": "Persons whose current labor force status is unemployed and last job was Armed Forces", "713": "Forging machine operators (7319, 7519)", "714": "Numerical control machine operators (7326)", "715": "Miscellaneous metal, plastic, stone, and glass working machine operators (7329, 7529)", "843": "Supervisors, material moving equipment operators (812)", "849": "Crane and tower operators (8315)", "855": "Grader, dozer, and scraper operators (8317)", "745": "Shoe machine operators (7656)", "505": "Automobile mechanics (part 6111)", "506": "Auto mechanic apprentices (part 6111)", "507": "Bus, truck, and stationary engine mechanics (6112)", "874": "Production helpers (861, 862)", "755": "Extruding and forming machine operators (7463, 7663)", "635": "Tool and die mkr apprentices (part 6811)", "756": "Mixing and blending machine operators (7664)", "515": "Aircraft mechanics, except engine (6116)", "883": "Freight, stock, and material handlers, n.e.c. (8726)", "763": "Roasting and baking machine operators, food (7472, 7672)", "643": "Boilermakers (6814)", "523": "Electronic repairers, communications and industrial equipment (6151, 6153, 6155)", "645": "Patternmakers and model makers, metal (6817)", "525": "Data processing equipment repairers (6154)", "769": "Slicing and cutting machine operators (7478, 7678)", "649": "Engravers, metal (6823)", "773": "Motion picture projectionists (part 7479)", "535": "Camera, watch, and musical instrument repairers (6171, 6172)", "777": "Miscellaneous machine operators, n.e.c. (part 7479, 7665, 7679)", "417": "Firefighting occupations (5123)", "418": "Police and detectives, public service (5132)", "785": "Assemblers (772, 774)", "669": "Shoe repairers (6854)", "793": "Hand engraving and printing occupations (7757)", "553": "Supervisors, brickmasons, stonemasons, and tile setters (6312)", "676": "Patternmakers, lay-out workers, and cutters (6862)", "314": "Stenographers (4623)", "677": "Optical goods workers (6864, part 7477, part 7677)", "688": "Food batchmakers (6873, 6879)", "207": "Licensed practical nurses (366)", "695": "Power plant operators (part 693)", "576": "Electrician apprentices (part 6432)", "457": "Barbers (5252)", "338": "Payroll and timekeeping clerks (4713)", "463": "Public transportation attendants (5257)", "465": "Welfare service aides (5263)", "587": "Plumber, pipefitter, and steamfitter apprentices (part 645)", "228": "Broadcast equipment operators (393)", "594": "Paving, surfacing, and tamping equipment operators (6466)", "353": "Communications equipment operators, n.e.c. (4733, 4739)", "354": "Postal clerks, except mail carriers (4742)", "597": "Structural metal workers (6473)", "114": "Biological science teachers (2213)", "116": "Physics teachers (2215)", "117": "Natural science teachers, n.e.c. (2216)", "14": "admin, education and rel. fields (128)", "15": "managers, medicine and health (131)", "19": "funeral directors (part 1359)", "363": "Production coordinators (4752)", "488": "Grader and sorter, agricultural products (5625)", "126": "Social science teachers, n.e.c. (2225)", "128": "Math. science teachers (2227)", "374": "Material recording, scheduling, and distributing clerks, n.e.c. (4759)", "375": "Insurance adjusters, examiners, and investigators (4782)", "376": "Investigators and adjusters, except insurance (4783)", "498": "Fishers (583)", "258": "Sales engineers (421)", "385": "Data-entry keyers (4793)", "44": "aerospace engineers(1622)", "158": "Teachers, special education (235)", "163": "Counselors, Educational and Vocational (24)", "166": "Economists (1912)", "74": "Atmospheric and space scientists (1846)", "77": "Agricultural and food scientists (1853)", "85": "Dentists (262)", "198": "Announcers (333)", "98": "Respiratory therapists (3031)", "806": "Driver-sales workers (8218)", "703": "Set-up operators, lathe and turning machine (7312)", "707": "Rolling machine operators (7316, 7516)", "726": "Wood lathe, routing, and planing machine operators (7431, 7432, 7631, 7632)", "616": "Mining machine operators (654)", "516": "Heavy equipment mechanics (6117)", "519": "Machinery maintenance occupations (614)", "786": "Hand cutting and trimming occupations (7753)", "436": "Cooks (5214, 5215)", "449": "Maids and housemen (5242, 5249)", "573": "Drywall installers (6424)", "694": "Water and sewage treatment plant operators (691)", "575": "Electricians (part 6432)", "696": "Stationary engineers (part 693, 7668)", "214": "Industrial engineering technicians (3712)", "456": "Supervisors, personal service occupations (5251)", "699": "Miscellaneous plant and system operators (692, 694, 695, 696)", "217": "Drafting occupations (372)", "584": "Plasterers (6444)", "347": "Office mach. operators, n.e.c. (4729)", "595": "Roofers (6468)", "233": "Tool programmers, numerical control (3974)", "596": "Sheetmetal duct installers (6472)", "113": "Earth, environmental, and marine science teachers (2212)", "115": "Chemistry teachers (2214)", "485": "Supervisors, rel. agricultural occupations (5621)", "123": "History teachers (2222)", "366": "Meter readers (4755)", "22": "managers and administrators, n.e.c. (121, 126, 132-1343, 136-139)", "23": "accountants and auditors (1412)", "25": "other financial officers (1415, 1419)", "138": "Physical education teachers (2236)", "259": "Sales representatives, mining, manufacturing, and wholesale (423, 424)", "145": "Law teachers (2243)", "387": "Teachers' aides (4795)", "267": "Sales workers, radio, Tv, hi-fi, and appliances (4343, 4352)", "148": "Trade and industrial teachers (2246)", "45": "metallurgical and materials engineers (1623)", "48": "chemical engineers (1626)", "49": "nuclear engineers (1627)", "153": "Teachers, postsecondary, n.e.c. (2249)", "156": "Teachers, elementary school (232)", "277": "Street and door-to-door sales workers (4366)", "55": "Engineers, electrical and electronic (1633, 1636)", "57": "Engineers, mechanical (1635)", "283": "Demonstrators, promoters and models, sales (445)", "64": "computer systems analysts and scientists (171)", "174": "Social workers (2032)", "76": "Physical scientists, n.e.c. (1849)", "78": "Biological and life scientists (1854)", "84": "Physicians (261)", "88": "Podiatrists (283)", "195": "Editors and reporters (331)", "197": "Public relations specialists (332)", "97": "Dietitians (302)", "9": "purchasing managers (124)", "803": "Supervisors, motor vehicle operators (8111)", "706": "Punching and stamping press machine operators (7314, 7317, 7514, 7517)", "829": "Sailors and deckhands (8243)", "728": "Shaping and joining machine operators (7435, 7635)", "613": "Supervisors, extractive occupations (632)", "617": "Mining occupations, n.e.c. (656)", "503": "Supervisors, mechanics and repairers (60)", "628": "Supervisors, production occupations (67, 71)", "754": "Packaging and filling machine operators (7462, 7662)", "634": "Tool and die makers (part 6811)", "757": "Separating, filtering, and clarifying machine operators (7476, 7666, 7676)", "878": "Machine feeders and offbearers (8725)", "637": "Machinists (part 6813)", "758": "Compressing and compacting machine operators (7467, 7667)", "646": "Lay-out workers (6821)", "405": "Housekeepers and butlers (505)", "647": "Precious stones and metals workers (Jewelers) (6822, 6866)", "529": "Telephone installers and repairers (6158)", "653": "Sheet metal workers (part 6824)", "774": "Photographic process machine operators (6863, 6868, 7671)", "654": "Sheet metal wrkr apprentices (part 6824)", "415": "Supervisors, guards (5113)", "536": "Locksmiths and safe repairers (6173)", "416": "Fire inspection and fire prevention occupations (5122)", "658": "Furniture and wood finishers (6835)", "779": "Machine operators, not specified", "423": "Sheriffs, bailiffs, and other law enforcement officers(5134)", "425": "Crossing guards (5142)", "309": "Peripheral equipment operators (4613)", "678": "Dental laboratory and medical appliance technicians (6865)", "316": "Interviewers (4642)", "558": "Supervisors, construction, n.e.c. (6311, 6318)", "438": "Food counter, fountain and rel. occupations (5216)", "-1": "Not in Universe", "564": "Brickmason and stonemason apprentices (part 6412, part 6413)", "323": "Information clerks, n.e.c. (4649)", "565": "Tile setters, hard and soft (part 6414, part 6462)", "686": "Butchers and meat cutters (6871)", "566": "Carpet installers (part 6462)", "569": "Carpenter apprentices (part 6422)", "335": "File clerks (4696)", "336": "Records clerks (4699)", "337": "Bookkeepers, accounting, and auditing clerks (4712)", "218": "Surveying and mapping technicians (373)", "583": "Paperhangers (6443)", "343": "Cost and rate clerks (4716)", "344": "Billing, posting, and calculating machine operators (4718)", "104": "Speech therapists (3034)", "593": "Insulation workers (6465)", "355": "Mail carriers, postal service (4743)", "357": "Messengers (4745)", "479": "Farm workers (5612-5617)", "484": "Nursery workers (5619)", "368": "Weighers, measurers, checkers, and samplers (4756, 4757)", "254": "Real estate sales occupations (4123)", "134": "Health specialties teachers (2232)", "136": "Agriculture and forestry teachers (2234)", "36": "inspectors and compliance officers, except construction (1473)", "383": "Bank tellers (4791)", "47": "petroleum engineers (1625)", "53": "civil engineers (1628)", "54": "agricultural engineers (1632)", "59": "engineers, n.e.c. (1639)", "164": "Librarians (251)", "169": "Social scientists, n.e.c. (1913, 1914, 1919)", "67": "Statisticians (1733)", "73": "Chemists, except biochemists (1845)", "183": "Authors (321)", "185": "Designers (322)", "187": "Actors and directors (324)", "86": "Veterinarians (27)", "5": "administrators and officials, public administration (1132-1139)", "808": "Bus drivers (8215)", "813": "Parking lot attendants (874)", "823": "Railroad conductors and yardmasters (8113)", "834": "Bridge, lock, and lighthouse tenders (8245)", "733": "Miscellaneous woodworking machine operators (7434, 7439, 7634, 7639)", "736": "Typesetters and compositors (6841, 7642)", "738": "Winding and twisting machine operators (7451, 7651)", "739": "Knitting, looping, taping, and weaving machine operators (7452, 7652)", "743": "Textile cutting machine operators (7654)", "864": "Supervisors, handlers, equipment cleaners, and laborers, n.e.c. (85)", "744": "Textile sewing machine operators (7655)", "865": "Helpers, mechanics, and repairers (863)", "868": "Helpers, extractive occupations (865)", "748": "Laundering and dry cleaning machine operators (6855, 7658)", "869": "Construction laborers (871)", "885": "Garage and service station rel. occupations (873)", "888": "Hand packers and packagers (8761)", "406": "Child care workers, private hhld (506)", "534": "Heating, air conditioning, and refrigeration mechanics (616)", "656": "Patternmkrs and model makers, wood (6831)", "543": "Elevator installers and repairers (6176)", "674": "Misc precision apparel and fabric workers (6856, 6859, part 7752)", "435": "Waiters and waitresses (5213)", "443": "Waiters'/waitresses' assistants (5218)", "444": "Miscellaneous food preparation occupations (5219)", "445": "Dental assistants (5232)", "325": "Classified-ad clerks (4662)", "447": "Nursing aides, orderlies, and attendants (5236)", "689": "Inspectors, testers, and graders (6881, 828)", "328": "Personnel clerks, except payroll and timekeeping (4692)", "208": "Health technologists and technicians, n.e.c. (369)", "216": "Engineering technicians, n.e.c. (3719)", "459": "Attendants, amusement and recreation facilities (5254)", "585": "Plumbers, pipefitters, and steamfitters (part 645)", "223": "Biological technicians (382)", "588": "Concrete and terrazzo finishers (6463)", "469": "Personal service occupations, n.e.c. (5258, 5269)", "473": "Farmers, except horticultural (5512-5514)", "475": "Managers, farms, except horticultural (5522-5524)", "487": "Animal caretakers, except farm (5624)", "127": "Engineering teachers (2226)", "28": "purchasing agents and buyers, farm products (1443)", "497": "Captains and other officers, fishing vessels (part 8241)", "377": "Eligibility clerks, social welfare (4784)", "257": "Sales occupations, other business services (4152)", "46": "mining engineers (1624)", "159": "Teachers, n.e.c. (236, 239)", "284": "Auctioneers (447)", "285": "Sales support occupations, n.e.c. (444, 446, 449)", "165": "Archivists and curators (252)", "167": "Psychologists (1915)", "89": "Health diagnosing practitioners, n.e.c. (289)", "193": "Dancers (327)" } } }, "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)" } } }, "TJBOCC1": { "label": "JB: Occupation classification code", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "9": "purchasing managers (124)", "803": "Supervisors, motor vehicle operators (8111)", "823": "Railroad conductors and yardmasters (8113)", "706": "Punching and stamping press machine operators (7314, 7317, 7514, 7517)", "708": "Drilling and boring machine operators (7318, 7518)", "717": "Fabricating machine operators, n.e.c. (7339, 7539)", "719": "Molding and casting machine operators (7315, 7342, 7515, 7524)", "727": "Sawing machine operators (7433, 7633)", "853": "Excavating and loading machine operators (8316)", "736": "Typesetters and compositors (6841, 7642)", "865": "Helpers, mechanics, and repairers (863)", "747": "Pressing machine operators (7657)", "506": "Auto mechanic apprentices (part 6111)", "628": "Supervisors, production occupations (67, 71)", "749": "Miscellaneous textile machine operators (7459, 7659)", "508": "Aircraft engine mechanics (6113)", "509": "Small engine repairers (6114)", "876": "Stevedores (8723)", "514": "Automobile body and rel. repairers (6115)", "637": "Machinists (part 6813)", "885": "Garage and service station rel. occupations (873)", "887": "Vehicle washers and equipment cleaners (875)", "646": "Lay-out workers (6821)", "647": "Precious stones and metals workers (Jewelers) (6822, 6866)", "773": "Motion picture projectionists (part 7479)", "535": "Camera, watch, and musical instrument repairers (6171, 6172)", "659": "Misc precision woodworkers (6839)", "786": "Hand cutting and trimming occupations (7753)", "304": "Supervisors, computer equipment operators (4512)", "426": "Guards and police, except public service (5144)", "789": "Hand painting, coating, and decorating occupations (7756)", "313": "Secretaries (4622)", "555": "Supervisors, electricians and power transmission installers (6314)", "676": "Patternmakers, lay-out workers, and cutters (6862)", "435": "Waiters and waitresses (5213)", "318": "Transportation ticket and reservation agents (4644)", "439": "Kitchen workers, food preparation (5217)", "564": "Brickmason and stonemason apprentices (part 6412, part 6413)", "569": "Carpenter apprentices (part 6422)", "207": "Licensed practical nurses (366)", "694": "Water and sewage treatment plant operators (691)", "695": "Power plant operators (part 693)", "455": "Pest control occupations (5246)", "457": "Barbers (5252)", "344": "Billing, posting, and calculating machine operators (4718)", "227": "Air traffic controllers (392)", "469": "Personal service occupations, n.e.c. (5258, 5269)", "354": "Postal clerks, except mail carriers (4742)", "476": "Managers, horticultural specialty farms (5525)", "118": "Psychology teachers (2217)", "486": "Groundskeepers and gardeners, except farm (5622)", "489": "Inspectors, agricultural products (5627)", "21": "managers, service organizations, n.e.c. (127, 1352, 1354, part 1359)", "27": "personnel, training, and labor relations specialists (143)", "495": "Forestry workers, except logging (572)", "379": "General office clerks (463)", "259": "Sales representatives, mining, manufacturing, and wholesale (423, 424)", "43": "architects (161)", "274": "Sales workers, other commodities (4345, 4347, 4354, 4356, 4359, 4362, 4369)", "154": "Postsecondary teachers, subject not specified", "164": "Librarians (251)", "188": "Painters, sculptors, craft-artists, and artist printmakers (325)", "86": "Veterinarians (27)", "95": "Registered nurses (29)", "98": "Respiratory therapists (3031)", "99": "Occupational therapists (3032)", "8": "personnel and labor relations managers (123)", "806": "Driver-sales workers (8218)", "704": "Operators, lathe and turning machine (7512)", "843": "Supervisors, material moving equipment operators (812)", "723": "Metal plating machine operators (7343, 7543)", "845": "Longshore equipment operators (8313)", "855": "Grader, dozer, and scraper operators (8317)", "856": "Industrial truck and tractor equipment operators (8318)", "738": "Winding and twisting machine operators (7451, 7651)", "739": "Knitting, looping, taping, and weaving machine operators (7452, 7652)", "745": "Shoe machine operators (7656)", "869": "Construction laborers (871)", "635": "Tool and die mkr apprentices (part 6811)", "877": "Stock handlers and baggers (8724)", "878": "Machine feeders and offbearers (8725)", "639": "Machinist apprentices (part 6813)", "644": "Precision grinders, filers, and tool sharpeners (6816)", "534": "Heating, air conditioning, and refrigeration mechanics (616)", "536": "Locksmiths and safe repairers (6173)", "418": "Police and detectives, public service (5132)", "668": "Upholsterers (6853)", "309": "Peripheral equipment operators (4613)", "683": "Electrical/electronic equipment assemblers (6867)", "446": "Health aides, except nursing (5233)", "688": "Food batchmakers (6873, 6879)", "205": "Health record technologists and technicians (364)", "689": "Inspectors, testers, and graders (6881, 828)", "327": "Order clerks (4664)", "328": "Personnel clerks, except payroll and timekeeping (4692)", "573": "Drywall installers (6424)", "576": "Electrician apprentices (part 6432)", "215": "Mechanical engineering technicians (3713)", "217": "Drafting occupations (372)", "339": "Billing clerks (4715)", "584": "Plasterers (6444)", "343": "Cost and rate clerks (4716)", "587": "Plumber, pipefitter, and steamfitter apprentices (part 645)", "228": "Broadcast equipment operators (393)", "474": "Horticultural specialty farmers (5515)", "595": "Roofers (6468)", "233": "Tool programmers, numerical control (3974)", "596": "Sheetmetal duct installers (6472)", "113": "Earth, environmental, and marine science teachers (2212)", "234": "Legal assistants (396)", "477": "Supervisors, farm workers (5611)", "598": "Drillers, earth (6474)", "485": "Supervisors, rel. agricultural occupations (5621)", "488": "Grader and sorter, agricultural products (5625)", "368": "Weighers, measurers, checkers, and samplers (4756, 4757)", "127": "Engineering teachers (2226)", "253": "Insurance sales occupations (4122)", "374": "Material recording, scheduling, and distributing clerks, n.e.c. (4759)", "376": "Investigators and adjusters, except insurance (4783)", "377": "Eligibility clerks, social welfare (4784)", "258": "Sales engineers (421)", "35": "construction inspectors (1472)", "383": "Bank tellers (4791)", "389": "Administrative support occupations, n.e.c. (4787, 4799)", "45": "metallurgical and materials engineers (1623)", "46": "mining engineers (1624)", "53": "civil engineers (1628)", "58": "marine and naval architects (1637)", "68": "Mathematical scientists, n.e.c. (1739)", "178": "Lawyers and Judges", "74": "Atmospheric and space scientists (1846)", "83": "Medical scientists (1855)", "87": "Optometrists (281)", "89": "Health diagnosing practitioners, n.e.c. (289)", "4": "chief executives and general administrators, public administration (112)", "703": "Set-up operators, lathe and turning machine (7312)", "826": "Rail vehicle operators, n.e.c. (8239)", "828": "Ship captains and mates, except fishing boats (part 8241, 8242)", "724": "Heat treating equipment operators (7344, 7544)", "849": "Crane and tower operators (8315)", "734": "Printing press operators (7443, 7643)", "735": "Photoengravers and lithographers (6842, 7444, 7644)", "743": "Textile cutting machine operators (7654)", "503": "Supervisors, mechanics and repairers (60)", "868": "Helpers, extractive occupations (865)", "748": "Laundering and dry cleaning machine operators (6855, 7658)", "507": "Bus, truck, and stationary engine mechanics (6112)", "875": "Garbage collectors (8722)", "755": "Extruding and forming machine operators (7463, 7663)", "515": "Aircraft mechanics, except engine (6116)", "758": "Compressing and compacting machine operators (7467, 7667)", "766": "Furnace, kiln, and oven operators, except food (7675)", "405": "Housekeepers and butlers (505)", "406": "Child care workers, private hhld (506)", "656": "Patternmkrs and model makers, wood (6831)", "415": "Supervisors, guards (5113)", "783": "Welders and cutters (7332, 7532, 7714)", "423": "Sheriffs, bailiffs, and other law enforcement officers(5134)", "667": "Tailors (part 6852)", "553": "Supervisors, brickmasons, stonemasons, and tile setters (6312)", "314": "Stenographers (4623)", "677": "Optical goods workers (6864, part 7477, part 7677)", "316": "Interviewers (4642)", "317": "Hotel clerks (4643)", "-1": "Not in Universe", "684": "Msc precision workers, n.e.c. (6869)", "204": "Dental hygienists (363)", "449": "Maids and housemen (5242, 5249)", "213": "Electrical and electronic technicians (3711)", "214": "Industrial engineering technicians (3712)", "337": "Bookkeepers, accounting, and auditing clerks (4712)", "459": "Attendants, amusement and recreation facilities (5254)", "462": "Ushers (5256)", "467": "Early childhood teacher's assistants (part 5264)", "105": "Therapists, n.e.c. (3039)", "106": "Physicians' assistants (304)", "597": "Structural metal workers (6473)", "115": "Chemistry teachers (2214)", "363": "Production coordinators (4752)", "484": "Nursery workers (5619)", "243": "Supervisors and Proprietors, Sales Occupations (40)", "125": "Sociology teachers (2224)", "129": "Computer science teachers (2228)", "23": "accountants and auditors (1412)", "28": "purchasing agents and buyers, farm products (1443)", "134": "Health specialties teachers (2232)", "255": "Securities and financial services sales occupations (4124)", "256": "Advertising and rel. sales occupations (4153)", "34": "business and promotion agents (145)", "147": "Theology teachers (2245)", "155": "Teachers, prekindergarten and kindergarten (231)", "277": "Street and door-to-door sales workers (4366)", "157": "Teachers, secondary school (233)", "163": "Counselors, Educational and Vocational (24)", "166": "Economists (1912)", "177": "Religious workers, n.e.c. (2049)", "73": "Chemists, except biochemists (1845)", "88": "Podiatrists (283)", "194": "Artists, performers, and rel. workers, n.e.c. (328,329)", "195": "Editors and reporters (331)", "198": "Announcers (333)", "199": "Athletes (34)", "804": "Truck drivers (8212-8214)", "813": "Parking lot attendants (874)", "824": "Locomotive operating occupations (8232)", "829": "Sailors and deckhands (8243)", "713": "Forging machine operators (7319, 7519)", "714": "Numerical control machine operators (7326)", "725": "Misc metal and plastic processing machine operators (7349, 7549)", "867": "Helpers, surveyor (8646)", "505": "Automobile mechanics (part 6111)", "883": "Freight, stock, and material handlers, n.e.c. (8726)", "523": "Electronic repairers, communications and industrial equipment (6151, 6153, 6155)", "765": "Folding machine operators (7474, 7674)", "774": "Photographic process machine operators (6863, 6868, 7671)", "413": "Supervisors, firefighting and fire prevention occupations(5111)", "655": "Misc precision metal workers (6829)", "414": "Supervisors, police and detectives (5112)", "416": "Fire inspection and fire prevention occupations (5122)", "784": "Solderers and brazers (7333, 7533, 7717)", "547": "Specified mechanics and repairers, n.e.c. (6177, 6179)", "306": "Chief communications operators (4523)", "308": "Computer operators (4612)", "796": "Production inspectors, checkers, and examiners (782, 787)", "434": "Bartenders (5212)", "556": "Supervisors, painters, paperhangers, and plasterers (6315)", "315": "Typists (4624)", "325": "Classified-ad clerks (4662)", "567": "Carpenters (part 6422)", "453": "Janitors and cleaners (5244)", "575": "Electricians (part 6432)", "699": "Miscellaneous plant and system operators (692, 694, 695, 696)", "216": "Engineering technicians, n.e.c. (3719)", "458": "Hairdressers and cosmetologists (5253)", "338": "Payroll and timekeeping clerks (4713)", "224": "Chemical technicians (3831)", "466": "Family child care providers (part 5264)", "353": "Communications equipment operators, n.e.c. (4733, 4739)", "355": "Mail carriers, postal service (4743)", "356": "Mail clerks, except postal service (4744)", "357": "Messengers (4745)", "117": "Natural science teachers, n.e.c. (2216)", "13": "managers, marketing, advertising, and public relations (125)", "15": "managers, medicine and health (131)", "364": "Traffic, shipping, and receiving clerks (4753)", "365": "Stock and inventory clerks (4754)", "25": "other financial officers (1415, 1419)", "29": "buyers, wholesale and retail trade except farm products (1442)", "496": "Timber cutting and logging occupations (573, 579)", "135": "Business, commerce, and marketing teachers (2233)", "498": "Fishers (583)", "378": "Bill and account collectors (4786)", "499": "Hunters and trappers (584)", "36": "inspectors and compliance officers, except construction (1473)", "264": "Sales workers, apparel (4346)", "148": "Trade and industrial teachers (2246)", "55": "Engineers, electrical and electronic (1633, 1636)", "173": "Urban planners (192)", "175": "Recreation workers (2033)", "176": "Clergy (2042)", "75": "Geologists and geodesists (1847)", "183": "Authors (321)", "186": "Musicians and composers (323)", "96": "Pharmacists (301)", "825": "Railroad brake, signal, and switch operators (8233)", "844": "Operating engineers (8312)", "733": "Miscellaneous woodworking machine operators (7434, 7439, 7634, 7639)", "615": "Explosives workers (653)", "859": "Misc material moving equipment operators (8319)", "864": "Supervisors, handlers, equipment cleaners, and laborers, n.e.c. (85)", "744": "Textile sewing machine operators (7655)", "874": "Production helpers (861, 862)", "634": "Tool and die makers (part 6811)", "636": "Precision assemblers, metal (6812)", "517": "Farm equipment mechanics (6118)", "525": "Data processing equipment repairers (6154)", "526": "Hhld appliance and power tool repairers (6156)", "769": "Slicing and cutting machine operators (7478, 7678)", "654": "Sheet metal wrkr apprentices (part 6824)", "657": "Cabinet makers and bench carpenters (6832)", "424": "Correctional institution officers (5133)", "305": "Supervisors, financial records processing (4521)", "669": "Shoe repairers (6854)", "549": "Not specified mechanics and repairers", "674": "Misc precision apparel and fabric workers (6856, 6859, part 7752)", "797": "Production testers (783)", "436": "Cooks (5214, 5215)", "557": "Supervisors, plumbers, pipefitters, and steamfitters (6316)", "319": "Receptionists (4645)", "443": "Waiters'/waitresses' assistants (5218)", "203": "Clinical laboratory technologists and technicians (362)", "687": "Bakers (6872)", "448": "Supervisors, cleaning and building service workers (5241)", "218": "Surveying and mapping technicians (373)", "461": "Guides (5255)", "583": "Paperhangers (6443)", "464": "Baggage porters and bellhops (5262)", "589": "Glaziers (6464)", "475": "Managers, farms, except horticultural (5522-5524)", "599": "Construction trades, n.e.c. (6467, 6475, 6476, 6479)", "479": "Farm workers (5612-5617)", "26": "management analysts (142)", "497": "Captains and other officers, fishing vessels (part 8241)", "138": "Physical education teachers (2236)", "139": "Education teachers (2237)", "33": "purch. agents and buyers, n.e.c. (1449)", "263": "Sales workers, motor vehicles and boats (4342, 4344)", "265": "Sales workers, shoes (4351)", "386": "Statistical clerks (4794)", "145": "Law teachers (2243)", "266": "Sales workers, furniture and home furnishings (4348)", "278": "News vendors (4365)", "57": "Engineers, mechanical (1635)", "169": "Social scientists, n.e.c. (1913, 1914, 1919)", "63": "surveyors and mapping scientists (164)", "64": "computer systems analysts and scientists (171)", "66": "Actuaries (1732)", "67": "Statisticians (1733)", "185": "Designers (322)", "187": "Actors and directors (324)", "189": "Photographers (326)", "84": "Physicians (261)", "5": "administrators and officials, public administration (1132-1139)", "7": "financial managers (122)", "809": "Taxicab drivers and chauffeurs (8216)", "834": "Bridge, lock, and lighthouse tenders (8245)", "715": "Miscellaneous metal, plastic, stone, and glass working machine operators (7329, 7529)", "848": "Hoist and winch operators (8314)", "616": "Mining machine operators (654)", "753": "Cementing and gluing machine operators (7661)", "759": "Painting and paint spraying machine operators (7669)", "645": "Patternmakers and model makers, metal (6817)", "768": "Crushing and grinding machine operators (part 7477, part 7677)", "533": "Miscellaneous electrical and electronic equipment repairers (6152, 6159)", "539": "Mechanical controls and valve repairers (6175)", "787": "Hand molding, casting, and forming occupations (7754, 7755)", "795": "Miscellaneous hand working occupations (7758, 7759)", "554": "Supervisors, carpenters and rel. workers (6313)", "558": "Supervisors, construction, n.e.c. (6311, 6318)", "438": "Food counter, fountain and rel. occupations (5216)", "323": "Information clerks, n.e.c. (4649)", "208": "Health technologists and technicians, n.e.c. (369)", "329": "Library clerks (4694)", "456": "Supervisors, personal service occupations (5251)", "463": "Public transportation attendants (5257)", "585": "Plumbers, pipefitters, and steamfitters (part 645)", "103": "Physical therapists (3033)", "104": "Speech therapists (3034)", "588": "Concrete and terrazzo finishers (6463)", "226": "Airplane pilots and navigators (825)", "347": "Office mach. operators, n.e.c. (4729)", "468": "Child care wrkrs, n.e.c. (part 5264)", "594": "Paving, surfacing, and tamping equipment operators (6466)", "116": "Physics teachers (2215)", "119": "Economics teachers (2218)", "19": "funeral directors (part 1359)", "483": "Marine life cultivation workers (5618)", "124": "Political science teachers (2223)", "487": "Animal caretakers, except farm (5624)", "494": "Supervisors, forestry and logging workers (571)", "254": "Real estate sales occupations (4123)", "136": "Agriculture and forestry teachers (2234)", "37": "management rel. occupations, n.e.c. (149)", "146": "Social work teachers (2244)", "47": "petroleum engineers (1625)", "48": "chemical engineers (1626)", "275": "Sales counter clerks (4363)", "54": "agricultural engineers (1632)", "59": "engineers, n.e.c. (1639)", "284": "Auctioneers (447)", "65": "operations and systems researchers and analysts (172)", "76": "Physical scientists, n.e.c. (1849)", "78": "Biological and life scientists (1854)", "97": "Dietitians (302)", "905": "Persons whose current labor force status is unemployed and last job was Armed Forces", "808": "Bus drivers (8215)", "707": "Rolling machine operators (7316, 7516)", "833": "Marine engineers (8244)", "726": "Wood lathe, routing, and planing machine operators (7431, 7432, 7631, 7632)", "614": "Drillers, oil well (652)", "737": "Miscellaneous printing machine operators (6849, 7449, 7649", "754": "Packaging and filling machine operators (7462, 7662)", "519": "Machinery maintenance occupations (614)", "764": "Washing, cleaning, and pickling machine operators (7673)", "404": "Cooks, private household (504)", "888": "Hand packers and packagers (8761)", "889": "Laborers, except construction (8769)", "527": "Telephone line installers and repairers (6157)", "407": "Private hhld cleaners and servants (502, 507, 509)", "529": "Telephone installers and repairers (6158)", "658": "Furniture and wood finishers (6835)", "779": "Machine operators, not specified", "538": "Office machine repairers (6174)", "785": "Assemblers (772, 774)", "425": "Crossing guards (5142)", "427": "Protective service occupations, n.e.c. (5149)", "793": "Hand engraving and printing occupations (7757)", "433": "Supervisors, food preparation and service occupations(5211)", "675": "Hand molders and shapers, except jewelers (6861)", "798": "Production samplers and weighers (784)", "799": "Graders and sorters, except agricultural (785)", "679": "Bookbinders (6844)", "444": "Miscellaneous food preparation occupations (5219)", "693": "Adjusters and calibrators (6882)", "454": "Elevator operators (5245)", "696": "Stationary engineers (part 693, 7668)", "579": "Painters, construction and maintenance (6442)", "345": "Duplicating machine operators (4722)", "346": "Mail preparing and paper handling machine operators (4723)", "348": "Telephone operators (4732)", "229": "Computer programmers (3971, 3972)", "359": "Dispatchers (4751)", "17": "managers, food serving and lodging establishments (1351)", "18": "managers, properties and real estate (1353)", "128": "Math. science teachers (2227)", "133": "Medical science teachers (2231)", "375": "Insurance adjusters, examiners, and investigators (4782)", "384": "Proofreaders (4792)", "143": "English teachers (2238)", "385": "Data-entry keyers (4793)", "267": "Sales workers, radio, Tv, hi-fi, and appliances (4343, 4352)", "49": "nuclear engineers (1627)", "276": "Cashiers (4364)", "156": "Teachers, elementary school (232)", "159": "Teachers, n.e.c. (236, 239)", "56": "Engineers, industrial (1634)", "167": "Psychologists (1915)", "77": "Agricultural and food scientists (1853)", "85": "Dentists (262)", "197": "Public relations specialists (332)", "6": "administrators, protective services (1131)", "814": "Motor transportation occupations, n.e.c. (8219)", "705": "Milling and planing machine operators (7313, 7513)", "709": "Grinding, abrading, buffing, and polishing machine operators (7322, 7324, 7522)", "728": "Shaping and joining machine operators (7435, 7635)", "729": "Nailing and tacking machine operators (7636)", "613": "Supervisors, extractive occupations (632)", "617": "Mining occupations, n.e.c. (656)", "866": "Helpers, construction trades (8641-8645, 8648)", "756": "Mixing and blending machine operators (7664)", "757": "Separating, filtering, and clarifying machine operators (7476, 7666, 7676)", "516": "Heavy equipment mechanics (6117)", "518": "Industrial machinery repairers (613)", "763": "Roasting and baking machine operators, food (7472, 7672)", "643": "Boilermakers (6814)", "403": "Launderers and ironers (503)", "649": "Engravers, metal (6823)", "653": "Sheet metal workers (part 6824)", "777": "Miscellaneous machine operators, n.e.c. (part 7479, 7665, 7679)", "417": "Firefighting occupations (5123)", "543": "Elevator installers and repairers (6176)", "544": "Millwrights (6178)", "303": "Supervisors, general office (4511, 4513, 4514, 4516, 4519, 4529)", "666": "Dressmakers (part 6852, part 7752)", "307": "Supervisors, distribution, scheduling, and adjusting clerks (4522, 4524-4528)", "678": "Dental laboratory and medical appliance technicians (6865)", "563": "Brickmasons and stonemasons (part 6412, part 6413)", "565": "Tile setters, hard and soft (part 6414, part 6462)", "686": "Butchers and meat cutters (6871)", "445": "Dental assistants (5232)", "566": "Carpet installers (part 6462)", "326": "Correspondence clerks (4663)", "447": "Nursing aides, orderlies, and attendants (5236)", "206": "Radiologic technicians (365)", "335": "File clerks (4696)", "577": "Electrical power installers and repairers (6433)", "336": "Records clerks (4699)", "223": "Biological technicians (382)", "465": "Welfare service aides (5263)", "225": "Science technicians, n.e.c. (3832, 3833, 384, 389)", "593": "Insulation workers (6465)", "473": "Farmers, except horticultural (5512-5514)", "114": "Biological science teachers (2213)", "235": "Technicians, n.e.c. (399)", "14": "admin, education and rel. fields (128)", "123": "History teachers (2222)", "366": "Meter readers (4755)", "126": "Social science teachers, n.e.c. (2225)", "22": "managers and administrators, n.e.c. (121, 126, 132-1343, 136-139)", "24": "underwriters (1414)", "373": "Expediters (4758)", "257": "Sales occupations, other business services (4152)", "137": "Art, drama, and music teachers (2235)", "144": "Foreign language teachers (2242)", "387": "Teachers' aides (4795)", "268": "Sales workers, hardware and building supplies (4353)", "269": "Sales workers, parts (4367)", "149": "Home economics teachers (2247)", "44": "aerospace engineers(1622)", "153": "Teachers, postsecondary, n.e.c. (2249)", "158": "Teachers, special education (235)", "283": "Demonstrators, promoters and models, sales (445)", "285": "Sales support occupations, n.e.c. (444, 446, 449)", "165": "Archivists and curators (252)", "168": "Sociologists (1916)", "69": "Physicists and astronomers (1842, 1843)", "174": "Social workers (2032)", "79": "Forestry and conservation scientists (1852)", "184": "Technical writers (398)", "193": "Dancers (327)" } } }, "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)" } } }, "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" } } }, "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": "30.0", "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": "30.0", "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" } } }, "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 in household" } ] } }, "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)" } } }, "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)" } } }, "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" } } }, "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" } } }, "AR37": { "label": "GI: Allocation flag for ER37", "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" } } }, "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 (SSIGP, etc.)", "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" } } }, "EAST3A": { "label": "AS: Mutual funds owned", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "-1": "Not in Universe", "1": "Yes", "2": "No" } } }, "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" } } }, "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" } } }, "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 markt deposit", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "None or not in universe" }, "range": [ { "min": "1", "max": "2200", "description": "Dollars" } ] } }, "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" } } }, "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" } } }, "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": "999999.9999", "description": "Weight of rel. subfamily reference person" } ] } }, "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" } } }, "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" } } }, "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" } ] } }, "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" } } }, "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 employee association 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 employee association contract", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "2": "No", "1": "Yes", "-1": "Not in Universe" } } }, "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" } } }, "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" } } }, "EHIYNGKD": { "label": "HI: Coverage of younger child (under 18) outside the hhld", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "2": "No, not covered", "-1": "Not in Universe", "1": "Yes, covered" } } }, "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" } } }, "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, Perkins, SLS)", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "-1": "Not in Universe", "1": "Received", "2": "Did not receive" } } }, "EBUSCNTR": { "label": "LF: Number of businesses owned during reference period", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "-1": "Not in Universe", "0": "Contingent business" }, "range": [ { "min": "1", "max": "25", "description": "Number of businesses" } ] } }, "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" } } }, "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)", "4": "Statistical or logical imputation using previous wave data" } } }, "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" } } }, "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)" } } }, "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" } } }, "EAST2B": { "label": "AS: Savings account owned", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "-1": "Not in Universe", "1": "Yes", "2": "No" } } }, "EAST2A": { "label": "AS: Interest bearing checking account owned", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Yes", "2": "No", "-1": "Not in Universe" } } }, "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" } } }, "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": "6900", "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" } } }, "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" } } }, "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 hhlder nonfamily hhld", "5": "Nonfamily hh - Female hhlder nonfamily hhlder", "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": "1299", "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" } } }, "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": "1299", "description": "Person number" } ] } }, "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)" } } }, "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", "1": "Statistical imputation (hot deck)", "2": "Cold deck imputation", "0": "Not imputed" } } }, "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" } } }, "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)" } } }, "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": { "3": "Some weeks 35+ and some weeks less than 35, all weeks equal to or greater than 1", "0": "Did not work", "4": "Some weeks 35+, some 1-34 hours, some 0 hours", "1": "All weeks 35+", "2": "All weeks 1-34 hours", "-1": "Not in Universe", "5": "At least 1, but not all, weeks 35+ hours, all other weeks 0 hours", "6": "At least 1 week, but not all weeks, 1 to 34 hours; all other weeks 0 hours" } } }, "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)" } } }, "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)" } } }, "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" } } }, "AR53": { "label": "GI: Allocation flag for ER53", "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" } } }, "AR50": { "label": "GI: Allocation flag for ER50", "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" } } }, "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" } } }, "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": { "47": "Doctorate degree (For example: PhD, EdD)", "-1": "Not in Universe", "41": "Diploma or certificate from a voc, tech, trade or bus school beyond high school", "46": "Professional School Degree (For example: MD,DDS,DVM,LLB,JD)", "36": "10th Grade", "37": "11th Grade", "40": "Some College But No Degree", "42": "Associate degree in college - Occupational/vocational program", "45": "Master's degree (For example: MA, MS, MEng, MSW, MBA)", "35": "9th Grade", "38": "12th grade", "33": "5th Or 6th Grade", "44": "Bachelors degree (For example: BA, AB, BS)", "34": "7th Or 8th Grade", "39": "High school graduate - high school diploma or equivalent (for ex: GED)", "31": "Less Than 1st Grade", "32": "1st, 2nd, 3rd or 4th grade", "43": "Associate Degree in college - Academic program" } } }, "THVETS": { "label": "HH: Total Household Veterans Payments Recode", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "range": [ { "min": "0", "max": "150000", "description": "Dollar amount" } ] } }, "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" } } }, "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": { "3": "Unrelated Subfamily", "5": "Secondary individual", "1": "Primary family (including those w/ rel. subfamilies)", "4": "Primary Individual" } } }, "ECKJT": { "label": "AS: Jointly owned interest bearing 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" } } }, "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" } } }, "TBSOCC1": { "label": "BS: Occupation code", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "7": "financial managers (122)", "814": "Motor transportation occupations, n.e.c. (8219)", "824": "Locomotive operating occupations (8232)", "828": "Ship captains and mates, except fishing boats (part 8241, 8242)", "717": "Fabricating machine operators, n.e.c. (7339, 7539)", "727": "Sawing machine operators (7433, 7633)", "856": "Industrial truck and tractor equipment operators (8318)", "745": "Shoe machine operators (7656)", "505": "Automobile mechanics (part 6111)", "869": "Construction laborers (871)", "874": "Production helpers (861, 862)", "876": "Stevedores (8723)", "514": "Automobile body and rel. repairers (6115)", "756": "Mixing and blending machine operators (7664)", "636": "Precision assemblers, metal (6812)", "517": "Farm equipment mechanics (6118)", "759": "Painting and paint spraying machine operators (7669)", "519": "Machinery maintenance occupations (614)", "883": "Freight, stock, and material handlers, n.e.c. (8726)", "645": "Patternmakers and model makers, metal (6817)", "525": "Data processing equipment repairers (6154)", "888": "Hand packers and packagers (8761)", "526": "Hhld appliance and power tool repairers (6156)", "654": "Sheet metal wrkr apprentices (part 6824)", "655": "Misc precision metal workers (6829)", "779": "Machine operators, not specified", "659": "Misc precision woodworkers (6839)", "547": "Specified mechanics and repairers, n.e.c. (6177, 6179)", "434": "Bartenders (5212)", "315": "Typists (4624)", "203": "Clinical laboratory technologists and technicians (362)", "566": "Carpet installers (part 6462)", "328": "Personnel clerks, except payroll and timekeeping (4692)", "449": "Maids and housemen (5242, 5249)", "343": "Cost and rate clerks (4716)", "474": "Horticultural specialty farmers (5515)", "596": "Sheetmetal duct installers (6472)", "477": "Supervisors, farm workers (5611)", "116": "Physics teachers (2215)", "118": "Psychology teachers (2217)", "119": "Economics teachers (2218)", "19": "funeral directors (part 1359)", "368": "Weighers, measurers, checkers, and samplers (4756, 4757)", "128": "Math. science teachers (2227)", "21": "managers, service organizations, n.e.c. (127, 1352, 1354, part 1359)", "25": "other financial officers (1415, 1419)", "26": "management analysts (142)", "27": "personnel, training, and labor relations specialists (143)", "134": "Health specialties teachers (2232)", "379": "General office clerks (463)", "259": "Sales representatives, mining, manufacturing, and wholesale (423, 424)", "139": "Education teachers (2237)", "36": "inspectors and compliance officers, except construction (1473)", "265": "Sales workers, shoes (4351)", "148": "Trade and industrial teachers (2246)", "274": "Sales workers, other commodities (4345, 4347, 4354, 4356, 4359, 4362, 4369)", "155": "Teachers, prekindergarten and kindergarten (231)", "283": "Demonstrators, promoters and models, sales (445)", "167": "Psychologists (1915)", "169": "Social scientists, n.e.c. (1913, 1914, 1919)", "83": "Medical scientists (1855)", "194": "Artists, performers, and rel. workers, n.e.c. (328,329)", "99": "Occupational therapists (3032)", "4": "chief executives and general administrators, public administration (112)", "829": "Sailors and deckhands (8243)", "833": "Marine engineers (8244)", "715": "Miscellaneous metal, plastic, stone, and glass working machine operators (7329, 7529)", "724": "Heat treating equipment operators (7344, 7544)", "739": "Knitting, looping, taping, and weaving machine operators (7452, 7652)", "747": "Pressing machine operators (7657)", "516": "Heavy equipment mechanics (6117)", "644": "Precision grinders, filers, and tool sharpeners (6816)", "765": "Folding machine operators (7474, 7674)", "534": "Heating, air conditioning, and refrigeration mechanics (616)", "656": "Patternmkrs and model makers, wood (6831)", "536": "Locksmiths and safe repairers (6173)", "416": "Fire inspection and fire prevention occupations (5122)", "418": "Police and detectives, public service (5132)", "539": "Mechanical controls and valve repairers (6175)", "784": "Solderers and brazers (7333, 7533, 7717)", "789": "Hand painting, coating, and decorating occupations (7756)", "433": "Supervisors, food preparation and service occupations(5211)", "554": "Supervisors, carpenters and rel. workers (6313)", "796": "Production inspectors, checkers, and examiners (782, 787)", "564": "Brickmason and stonemason apprentices (part 6412, part 6413)", "323": "Information clerks, n.e.c. (4649)", "444": "Miscellaneous food preparation occupations (5219)", "326": "Correspondence clerks (4663)", "207": "Licensed practical nurses (366)", "458": "Hairdressers and cosmetologists (5253)", "579": "Painters, construction and maintenance (6442)", "461": "Guides (5255)", "465": "Welfare service aides (5263)", "224": "Chemical technicians (3831)", "345": "Duplicating machine operators (4722)", "587": "Plumber, pipefitter, and steamfitter apprentices (part 645)", "104": "Speech therapists (3034)", "105": "Therapists, n.e.c. (3039)", "113": "Earth, environmental, and marine science teachers (2212)", "355": "Mail carriers, postal service (4743)", "599": "Construction trades, n.e.c. (6467, 6475, 6476, 6479)", "117": "Natural science teachers, n.e.c. (2216)", "17": "managers, food serving and lodging establishments (1351)", "365": "Stock and inventory clerks (4754)", "486": "Groundskeepers and gardeners, except farm (5622)", "124": "Political science teachers (2223)", "487": "Animal caretakers, except farm (5624)", "489": "Inspectors, agricultural products (5627)", "29": "buyers, wholesale and retail trade except farm products (1442)", "494": "Supervisors, forestry and logging workers (571)", "374": "Material recording, scheduling, and distributing clerks, n.e.c. (4759)", "375": "Insurance adjusters, examiners, and investigators (4782)", "135": "Business, commerce, and marketing teachers (2233)", "138": "Physical education teachers (2236)", "63": "surveyors and mapping scientists (164)", "64": "computer systems analysts and scientists (171)", "174": "Social workers (2032)", "186": "Musicians and composers (323)", "188": "Painters, sculptors, craft-artists, and artist printmakers (325)", "198": "Announcers (333)", "823": "Railroad conductors and yardmasters (8113)", "713": "Forging machine operators (7319, 7519)", "834": "Bridge, lock, and lighthouse tenders (8245)", "723": "Metal plating machine operators (7343, 7543)", "734": "Printing press operators (7443, 7643)", "615": "Explosives workers (653)", "737": "Miscellaneous printing machine operators (6849, 7449, 7649", "617": "Mining occupations, n.e.c. (656)", "865": "Helpers, mechanics, and repairers (863)", "508": "Aircraft engine mechanics (6113)", "878": "Machine feeders and offbearers (8725)", "758": "Compressing and compacting machine operators (7467, 7667)", "885": "Garage and service station rel. occupations (873)", "887": "Vehicle washers and equipment cleaners (875)", "533": "Miscellaneous electrical and electronic equipment repairers (6152, 6159)", "658": "Furniture and wood finishers (6835)", "666": "Dressmakers (part 6852, part 7752)", "787": "Hand molding, casting, and forming occupations (7754, 7755)", "425": "Crossing guards (5142)", "669": "Shoe repairers (6854)", "553": "Supervisors, brickmasons, stonemasons, and tile setters (6312)", "797": "Production testers (783)", "556": "Supervisors, painters, paperhangers, and plasterers (6315)", "438": "Food counter, fountain and rel. occupations (5216)", "206": "Radiologic technicians (365)", "327": "Order clerks (4664)", "575": "Electricians (part 6432)", "576": "Electrician apprentices (part 6432)", "336": "Records clerks (4699)", "218": "Surveying and mapping technicians (373)", "463": "Public transportation attendants (5257)", "223": "Biological technicians (382)", "226": "Airplane pilots and navigators (825)", "589": "Glaziers (6464)", "106": "Physicians' assistants (304)", "228": "Broadcast equipment operators (393)", "233": "Tool programmers, numerical control (3974)", "475": "Managers, farms, except horticultural (5522-5524)", "597": "Structural metal workers (6473)", "484": "Nursery workers (5619)", "364": "Traffic, shipping, and receiving clerks (4753)", "496": "Timber cutting and logging occupations (573, 579)", "378": "Bill and account collectors (4786)", "33": "purch. agents and buyers, n.e.c. (1449)", "35": "construction inspectors (1472)", "37": "management rel. occupations, n.e.c. (149)", "383": "Bank tellers (4791)", "384": "Proofreaders (4792)", "264": "Sales workers, apparel (4346)", "145": "Law teachers (2243)", "146": "Social work teachers (2244)", "389": "Administrative support occupations, n.e.c. (4787, 4799)", "149": "Home economics teachers (2247)", "43": "architects (161)", "48": "chemical engineers (1626)", "49": "nuclear engineers (1627)", "156": "Teachers, elementary school (232)", "56": "Engineers, industrial (1634)", "58": "marine and naval architects (1637)", "59": "engineers, n.e.c. (1639)", "67": "Statisticians (1733)", "69": "Physicists and astronomers (1842, 1843)", "173": "Urban planners (192)", "79": "Forestry and conservation scientists (1852)", "183": "Authors (321)", "89": "Health diagnosing practitioners, n.e.c. (289)", "95": "Registered nurses (29)", "98": "Respiratory therapists (3031)", "808": "Bus drivers (8215)", "704": "Operators, lathe and turning machine (7512)", "719": "Molding and casting machine operators (7315, 7342, 7515, 7524)", "843": "Supervisors, material moving equipment operators (812)", "729": "Nailing and tacking machine operators (7636)", "855": "Grader, dozer, and scraper operators (8317)", "735": "Photoengravers and lithographers (6842, 7444, 7644)", "738": "Winding and twisting machine operators (7451, 7651)", "744": "Textile sewing machine operators (7655)", "503": "Supervisors, mechanics and repairers (60)", "753": "Cementing and gluing machine operators (7661)", "875": "Garbage collectors (8722)", "877": "Stock handlers and baggers (8724)", "515": "Aircraft mechanics, except engine (6116)", "757": "Separating, filtering, and clarifying machine operators (7476, 7666, 7676)", "518": "Industrial machinery repairers (613)", "406": "Child care workers, private hhld (506)", "777": "Miscellaneous machine operators, n.e.c. (part 7479, 7665, 7679)", "423": "Sheriffs, bailiffs, and other law enforcement officers(5134)", "309": "Peripheral equipment operators (4613)", "314": "Stenographers (4623)", "678": "Dental laboratory and medical appliance technicians (6865)", "317": "Hotel clerks (4643)", "318": "Transportation ticket and reservation agents (4644)", "329": "Library clerks (4694)", "215": "Mechanical engineering technicians (3713)", "459": "Attendants, amusement and recreation facilities (5254)", "584": "Plasterers (6444)", "225": "Science technicians, n.e.c. (3832, 3833, 384, 389)", "234": "Legal assistants (396)", "114": "Biological science teachers (2213)", "115": "Chemistry teachers (2214)", "133": "Medical science teachers (2231)", "255": "Securities and financial services sales occupations (4124)", "256": "Advertising and rel. sales occupations (4153)", "137": "Art, drama, and music teachers (2235)", "34": "business and promotion agents (145)", "386": "Statistical clerks (4794)", "387": "Teachers' aides (4795)", "268": "Sales workers, hardware and building supplies (4353)", "45": "metallurgical and materials engineers (1623)", "153": "Teachers, postsecondary, n.e.c. (2249)", "275": "Sales counter clerks (4363)", "278": "News vendors (4365)", "53": "civil engineers (1628)", "54": "agricultural engineers (1632)", "285": "Sales support occupations, n.e.c. (444, 446, 449)", "65": "operations and systems researchers and analysts (172)", "66": "Actuaries (1732)", "73": "Chemists, except biochemists (1845)", "76": "Physical scientists, n.e.c. (1849)", "184": "Technical writers (398)", "809": "Taxicab drivers and chauffeurs (8216)", "825": "Railroad brake, signal, and switch operators (8233)", "707": "Rolling machine operators (7316, 7516)", "844": "Operating engineers (8312)", "726": "Wood lathe, routing, and planing machine operators (7431, 7432, 7631, 7632)", "868": "Helpers, extractive occupations (865)", "507": "Bus, truck, and stationary engine mechanics (6112)", "634": "Tool and die makers (part 6811)", "639": "Machinist apprentices (part 6813)", "643": "Boilermakers (6814)", "764": "Washing, cleaning, and pickling machine operators (7673)", "403": "Launderers and ironers (503)", "766": "Furnace, kiln, and oven operators, except food (7675)", "404": "Cooks, private household (504)", "405": "Housekeepers and butlers (505)", "653": "Sheet metal workers (part 6824)", "417": "Firefighting occupations (5123)", "538": "Office machine repairers (6174)", "543": "Elevator installers and repairers (6176)", "785": "Assemblers (772, 774)", "786": "Hand cutting and trimming occupations (7753)", "304": "Supervisors, computer equipment operators (4512)", "305": "Supervisors, financial records processing (4521)", "426": "Guards and police, except public service (5144)", "308": "Computer operators (4612)", "435": "Waiters and waitresses (5213)", "436": "Cooks (5214, 5215)", "557": "Supervisors, plumbers, pipefitters, and steamfitters (6316)", "316": "Interviewers (4642)", "679": "Bookbinders (6844)", "565": "Tile setters, hard and soft (part 6414, part 6462)", "687": "Bakers (6872)", "325": "Classified-ad clerks (4662)", "446": "Health aides, except nursing (5233)", "567": "Carpenters (part 6422)", "694": "Water and sewage treatment plant operators (691)", "213": "Electrical and electronic technicians (3711)", "335": "File clerks (4696)", "699": "Miscellaneous plant and system operators (692, 694, 695, 696)", "338": "Payroll and timekeeping clerks (4713)", "346": "Mail preparing and paper handling machine operators (4723)", "467": "Early childhood teacher's assistants (part 5264)", "595": "Roofers (6468)", "235": "Technicians, n.e.c. (399)", "356": "Mail clerks, except postal service (4744)", "598": "Drillers, earth (6474)", "357": "Messengers (4745)", "359": "Dispatchers (4751)", "363": "Production coordinators (4752)", "127": "Engineering teachers (2226)", "129": "Computer science teachers (2228)", "23": "accountants and auditors (1412)", "373": "Expediters (4758)", "495": "Forestry workers, except logging (572)", "254": "Real estate sales occupations (4123)", "377": "Eligibility clerks, social welfare (4784)", "136": "Agriculture and forestry teachers (2234)", "257": "Sales occupations, other business services (4152)", "266": "Sales workers, furniture and home furnishings (4348)", "147": "Theology teachers (2245)", "276": "Cashiers (4364)", "157": "Teachers, secondary school (233)", "165": "Archivists and curators (252)", "168": "Sociologists (1916)", "175": "Recreation workers (2033)", "77": "Agricultural and food scientists (1853)", "185": "Designers (322)", "88": "Podiatrists (283)", "195": "Editors and reporters (331)", "197": "Public relations specialists (332)", "97": "Dietitians (302)", "905": "Persons whose current labor force status is unemployed and last job was Armed Forces", "5": "administrators and officials, public administration (1132-1139)", "6": "administrators, protective services (1131)", "9": "purchasing managers (124)", "803": "Supervisors, motor vehicle operators (8111)", "806": "Driver-sales workers (8218)", "703": "Set-up operators, lathe and turning machine (7312)", "706": "Punching and stamping press machine operators (7314, 7317, 7514, 7517)", "709": "Grinding, abrading, buffing, and polishing machine operators (7322, 7324, 7522)", "845": "Longshore equipment operators (8313)", "853": "Excavating and loading machine operators (8316)", "736": "Typesetters and compositors (6841, 7642)", "866": "Helpers, construction trades (8641-8645, 8648)", "628": "Supervisors, production occupations (67, 71)", "749": "Miscellaneous textile machine operators (7459, 7659)", "754": "Packaging and filling machine operators (7462, 7662)", "637": "Machinists (part 6813)", "523": "Electronic repairers, communications and industrial equipment (6151, 6153, 6155)", "646": "Lay-out workers (6821)", "647": "Precious stones and metals workers (Jewelers) (6822, 6866)", "768": "Crushing and grinding machine operators (part 7477, part 7677)", "889": "Laborers, except construction (8769)", "527": "Telephone line installers and repairers (6157)", "769": "Slicing and cutting machine operators (7478, 7678)", "407": "Private hhld cleaners and servants (502, 507, 509)", "413": "Supervisors, firefighting and fire prevention occupations(5111)", "414": "Supervisors, police and detectives (5112)", "544": "Millwrights (6178)", "668": "Upholsterers (6853)", "306": "Chief communications operators (4523)", "307": "Supervisors, distribution, scheduling, and adjusting clerks (4522, 4524-4528)", "555": "Supervisors, electricians and power transmission installers (6314)", "677": "Optical goods workers (6864, part 7477, part 7677)", "799": "Graders and sorters, except agricultural (785)", "439": "Kitchen workers, food preparation (5217)", "319": "Receptionists (4645)", "684": "Msc precision workers, n.e.c. (6869)", "445": "Dental assistants (5232)", "205": "Health record technologists and technicians (364)", "569": "Carpenter apprentices (part 6422)", "573": "Drywall installers (6424)", "455": "Pest control occupations (5246)", "214": "Industrial engineering technicians (3712)", "456": "Supervisors, personal service occupations (5251)", "337": "Bookkeepers, accounting, and auditing clerks (4712)", "585": "Plumbers, pipefitters, and steamfitters (part 645)", "103": "Physical therapists (3033)", "348": "Telephone operators (4732)", "469": "Personal service occupations, n.e.c. (5258, 5269)", "593": "Insulation workers (6465)", "14": "admin, education and rel. fields (128)", "485": "Supervisors, rel. agricultural occupations (5621)", "366": "Meter readers (4755)", "125": "Sociology teachers (2224)", "126": "Social science teachers, n.e.c. (2225)", "253": "Insurance sales occupations (4122)", "376": "Investigators and adjusters, except insurance (4783)", "385": "Data-entry keyers (4793)", "267": "Sales workers, radio, Tv, hi-fi, and appliances (4343, 4352)", "269": "Sales workers, parts (4367)", "44": "aerospace engineers(1622)", "46": "mining engineers (1624)", "277": "Street and door-to-door sales workers (4366)", "68": "Mathematical scientists, n.e.c. (1739)", "74": "Atmospheric and space scientists (1846)", "87": "Optometrists (281)", "193": "Dancers (327)", "804": "Truck drivers (8212-8214)", "813": "Parking lot attendants (874)", "826": "Rail vehicle operators, n.e.c. (8239)", "708": "Drilling and boring machine operators (7318, 7518)", "728": "Shaping and joining machine operators (7435, 7635)", "614": "Drillers, oil well (652)", "616": "Mining machine operators (654)", "743": "Textile cutting machine operators (7654)", "864": "Supervisors, handlers, equipment cleaners, and laborers, n.e.c. (85)", "506": "Auto mechanic apprentices (part 6111)", "748": "Laundering and dry cleaning machine operators (6855, 7658)", "755": "Extruding and forming machine operators (7463, 7663)", "635": "Tool and die mkr apprentices (part 6811)", "763": "Roasting and baking machine operators, food (7472, 7672)", "649": "Engravers, metal (6823)", "773": "Motion picture projectionists (part 7479)", "774": "Photographic process machine operators (6863, 6868, 7671)", "535": "Camera, watch, and musical instrument repairers (6171, 6172)", "657": "Cabinet makers and bench carpenters (6832)", "783": "Welders and cutters (7332, 7532, 7714)", "667": "Tailors (part 6852)", "427": "Protective service occupations, n.e.c. (5149)", "549": "Not specified mechanics and repairers", "793": "Hand engraving and printing occupations (7757)", "674": "Misc precision apparel and fabric workers (6856, 6859, part 7752)", "313": "Secretaries (4622)", "676": "Patternmakers, lay-out workers, and cutters (6862)", "798": "Production samplers and weighers (784)", "204": "Dental hygienists (363)", "688": "Food batchmakers (6873, 6879)", "447": "Nursing aides, orderlies, and attendants (5236)", "693": "Adjusters and calibrators (6882)", "695": "Power plant operators (part 693)", "454": "Elevator operators (5245)", "577": "Electrical power installers and repairers (6433)", "457": "Barbers (5252)", "216": "Engineering technicians, n.e.c. (3719)", "464": "Baggage porters and bellhops (5262)", "588": "Concrete and terrazzo finishers (6463)", "347": "Office mach. operators, n.e.c. (4729)", "229": "Computer programmers (3971, 3972)", "594": "Paving, surfacing, and tamping equipment operators (6466)", "479": "Farm workers (5612-5617)", "15": "managers, medicine and health (131)", "18": "managers, properties and real estate (1353)", "22": "managers and administrators, n.e.c. (121, 126, 132-1343, 136-139)", "24": "underwriters (1414)", "28": "purchasing agents and buyers, farm products (1443)", "499": "Hunters and trappers (584)", "258": "Sales engineers (421)", "263": "Sales workers, motor vehicles and boats (4342, 4344)", "143": "English teachers (2238)", "144": "Foreign language teachers (2242)", "154": "Postsecondary teachers, subject not specified", "158": "Teachers, special education (235)", "159": "Teachers, n.e.c. (236, 239)", "55": "Engineers, electrical and electronic (1633, 1636)", "57": "Engineers, mechanical (1635)", "284": "Auctioneers (447)", "166": "Economists (1912)", "176": "Clergy (2042)", "177": "Religious workers, n.e.c. (2049)", "75": "Geologists and geodesists (1847)", "78": "Biological and life scientists (1854)", "187": "Actors and directors (324)", "86": "Veterinarians (27)", "199": "Athletes (34)", "96": "Pharmacists (301)", "8": "personnel and labor relations managers (123)", "705": "Milling and planing machine operators (7313, 7513)", "714": "Numerical control machine operators (7326)", "725": "Misc metal and plastic processing machine operators (7349, 7549)", "848": "Hoist and winch operators (8314)", "849": "Crane and tower operators (8315)", "733": "Miscellaneous woodworking machine operators (7434, 7439, 7634, 7639)", "613": "Supervisors, extractive occupations (632)", "859": "Misc material moving equipment operators (8319)", "867": "Helpers, surveyor (8646)", "509": "Small engine repairers (6114)", "529": "Telephone installers and repairers (6158)", "415": "Supervisors, guards (5113)", "303": "Supervisors, general office (4511, 4513, 4514, 4516, 4519, 4529)", "424": "Correctional institution officers (5133)", "795": "Miscellaneous hand working occupations (7758, 7759)", "675": "Hand molders and shapers, except jewelers (6861)", "558": "Supervisors, construction, n.e.c. (6311, 6318)", "-1": "Not in Universe", "683": "Electrical/electronic equipment assemblers (6867)", "563": "Brickmasons and stonemasons (part 6412, part 6413)", "443": "Waiters'/waitresses' assistants (5218)", "686": "Butchers and meat cutters (6871)", "689": "Inspectors, testers, and graders (6881, 828)", "448": "Supervisors, cleaning and building service workers (5241)", "208": "Health technologists and technicians, n.e.c. (369)", "453": "Janitors and cleaners (5244)", "696": "Stationary engineers (part 693, 7668)", "217": "Drafting occupations (372)", "339": "Billing clerks (4715)", "462": "Ushers (5256)", "583": "Paperhangers (6443)", "344": "Billing, posting, and calculating machine operators (4718)", "466": "Family child care providers (part 5264)", "468": "Child care wrkrs, n.e.c. (part 5264)", "227": "Air traffic controllers (392)", "473": "Farmers, except horticultural (5512-5514)", "353": "Communications equipment operators, n.e.c. (4733, 4739)", "354": "Postal clerks, except mail carriers (4742)", "476": "Managers, horticultural specialty farms (5525)", "13": "managers, marketing, advertising, and public relations (125)", "483": "Marine life cultivation workers (5618)", "243": "Supervisors and Proprietors, Sales Occupations (40)", "123": "History teachers (2222)", "488": "Grader and sorter, agricultural products (5625)", "497": "Captains and other officers, fishing vessels (part 8241)", "498": "Fishers (583)", "47": "petroleum engineers (1625)", "163": "Counselors, Educational and Vocational (24)", "164": "Librarians (251)", "178": "Lawyers and Judges", "189": "Photographers (326)", "84": "Physicians (261)", "85": "Dentists (262)" } } }, "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": { "328": "Personnel clerks, except payroll and timekeeping (4692)", "696": "Stationary engineers (part 693, 7668)", "213": "Electrical and electronic technicians (3711)", "456": "Supervisors, personal service occupations (5251)", "577": "Electrical power installers and repairers (6433)", "339": "Billing clerks (4715)", "223": "Biological technicians (382)", "229": "Computer programmers (3971, 3972)", "595": "Roofers (6468)", "476": "Managers, horticultural specialty farms (5525)", "114": "Biological science teachers (2213)", "599": "Construction trades, n.e.c. (6467, 6475, 6476, 6479)", "483": "Marine life cultivation workers (5618)", "129": "Computer science teachers (2228)", "253": "Insurance sales occupations (4122)", "269": "Sales workers, parts (4367)", "159": "Teachers, n.e.c. (236, 239)", "283": "Demonstrators, promoters and models, sales (445)", "165": "Archivists and curators (252)", "166": "Economists (1912)", "74": "Atmospheric and space scientists (1846)", "75": "Geologists and geodesists (1847)", "79": "Forestry and conservation scientists (1852)", "187": "Actors and directors (324)", "84": "Physicians (261)", "806": "Driver-sales workers (8218)", "813": "Parking lot attendants (874)", "705": "Milling and planing machine operators (7313, 7513)", "708": "Drilling and boring machine operators (7318, 7518)", "713": "Forging machine operators (7319, 7519)", "734": "Printing press operators (7443, 7643)", "735": "Photoengravers and lithographers (6842, 7444, 7644)", "739": "Knitting, looping, taping, and weaving machine operators (7452, 7652)", "745": "Shoe machine operators (7656)", "628": "Supervisors, production occupations (67, 71)", "634": "Tool and die makers (part 6811)", "514": "Automobile body and rel. repairers (6115)", "877": "Stock handlers and baggers (8724)", "516": "Heavy equipment mechanics (6117)", "518": "Industrial machinery repairers (613)", "519": "Machinery maintenance occupations (614)", "526": "Hhld appliance and power tool repairers (6156)", "527": "Telephone line installers and repairers (6157)", "653": "Sheet metal workers (part 6824)", "533": "Miscellaneous electrical and electronic equipment repairers (6152, 6159)", "423": "Sheriffs, bailiffs, and other law enforcement officers(5134)", "795": "Miscellaneous hand working occupations (7758, 7759)", "436": "Cooks (5214, 5215)", "319": "Receptionists (4645)", "444": "Miscellaneous food preparation occupations (5219)", "446": "Health aides, except nursing (5233)", "205": "Health record technologists and technicians (364)", "695": "Power plant operators (part 693)", "455": "Pest control occupations (5246)", "337": "Bookkeepers, accounting, and auditing clerks (4712)", "224": "Chemical technicians (3831)", "466": "Family child care providers (part 5264)", "346": "Mail preparing and paper handling machine operators (4723)", "347": "Office mach. operators, n.e.c. (4729)", "474": "Horticultural specialty farmers (5515)", "354": "Postal clerks, except mail carriers (4742)", "475": "Managers, farms, except horticultural (5522-5524)", "355": "Mail carriers, postal service (4743)", "117": "Natural science teachers, n.e.c. (2216)", "17": "managers, food serving and lodging establishments (1351)", "18": "managers, properties and real estate (1353)", "484": "Nursery workers (5619)", "243": "Supervisors and Proprietors, Sales Occupations (40)", "487": "Animal caretakers, except farm (5624)", "128": "Math. science teachers (2227)", "21": "managers, service organizations, n.e.c. (127, 1352, 1354, part 1359)", "376": "Investigators and adjusters, except insurance (4783)", "135": "Business, commerce, and marketing teachers (2233)", "379": "General office clerks (463)", "33": "purch. agents and buyers, n.e.c. (1449)", "383": "Bank tellers (4791)", "385": "Data-entry keyers (4793)", "43": "architects (161)", "274": "Sales workers, other commodities (4345, 4347, 4354, 4356, 4359, 4362, 4369)", "63": "surveyors and mapping scientists (164)", "68": "Mathematical scientists, n.e.c. (1739)", "178": "Lawyers and Judges", "78": "Biological and life scientists (1854)", "189": "Photographers (326)", "85": "Dentists (262)", "199": "Athletes (34)", "95": "Registered nurses (29)", "96": "Pharmacists (301)", "825": "Railroad brake, signal, and switch operators (8233)", "706": "Punching and stamping press machine operators (7314, 7317, 7514, 7517)", "717": "Fabricating machine operators, n.e.c. (7339, 7539)", "843": "Supervisors, material moving equipment operators (812)", "844": "Operating engineers (8312)", "615": "Explosives workers (653)", "505": "Automobile mechanics (part 6111)", "747": "Pressing machine operators (7657)", "868": "Helpers, extractive occupations (865)", "869": "Construction laborers (871)", "749": "Miscellaneous textile machine operators (7459, 7659)", "878": "Machine feeders and offbearers (8725)", "637": "Machinists (part 6813)", "885": "Garage and service station rel. occupations (873)", "644": "Precision grinders, filers, and tool sharpeners (6816)", "766": "Furnace, kiln, and oven operators, except food (7675)", "888": "Hand packers and packagers (8761)", "768": "Crushing and grinding machine operators (part 7477, part 7677)", "769": "Slicing and cutting machine operators (7478, 7678)", "534": "Heating, air conditioning, and refrigeration mechanics (616)", "783": "Welders and cutters (7332, 7532, 7714)", "426": "Guards and police, except public service (5144)", "433": "Supervisors, food preparation and service occupations(5211)", "315": "Typists (4624)", "318": "Transportation ticket and reservation agents (4644)", "448": "Supervisors, cleaning and building service workers (5241)", "208": "Health technologists and technicians, n.e.c. (369)", "458": "Hairdressers and cosmetologists (5253)", "579": "Painters, construction and maintenance (6442)", "345": "Duplicating machine operators (4722)", "593": "Insulation workers (6465)", "116": "Physics teachers (2215)", "118": "Psychology teachers (2217)", "124": "Political science teachers (2223)", "488": "Grader and sorter, agricultural products (5625)", "27": "personnel, training, and labor relations specialists (143)", "28": "purchasing agents and buyers, farm products (1443)", "499": "Hunters and trappers (584)", "265": "Sales workers, shoes (4351)", "145": "Law teachers (2243)", "266": "Sales workers, furniture and home furnishings (4348)", "146": "Social work teachers (2244)", "45": "metallurgical and materials engineers (1623)", "47": "petroleum engineers (1625)", "49": "nuclear engineers (1627)", "158": "Teachers, special education (235)", "284": "Auctioneers (447)", "65": "operations and systems researchers and analysts (172)", "173": "Urban planners (192)", "183": "Authors (321)", "185": "Designers (322)", "86": "Veterinarians (27)", "194": "Artists, performers, and rel. workers, n.e.c. (328,329)", "98": "Respiratory therapists (3031)", "803": "Supervisors, motor vehicle operators (8111)", "814": "Motor transportation occupations, n.e.c. (8219)", "703": "Set-up operators, lathe and turning machine (7312)", "726": "Wood lathe, routing, and planing machine operators (7431, 7432, 7631, 7632)", "855": "Grader, dozer, and scraper operators (8317)", "864": "Supervisors, handlers, equipment cleaners, and laborers, n.e.c. (85)", "756": "Mixing and blending machine operators (7664)", "639": "Machinist apprentices (part 6813)", "643": "Boilermakers (6814)", "764": "Washing, cleaning, and pickling machine operators (7673)", "403": "Launderers and ironers (503)", "649": "Engravers, metal (6823)", "774": "Photographic process machine operators (6863, 6868, 7671)", "413": "Supervisors, firefighting and fire prevention occupations(5111)", "539": "Mechanical controls and valve repairers (6175)", "424": "Correctional institution officers (5133)", "425": "Crossing guards (5142)", "555": "Supervisors, electricians and power transmission installers (6314)", "439": "Kitchen workers, food preparation (5217)", "684": "Msc precision workers, n.e.c. (6869)", "443": "Waiters'/waitresses' assistants (5218)", "323": "Information clerks, n.e.c. (4649)", "567": "Carpenters (part 6422)", "449": "Maids and housemen (5242, 5249)", "694": "Water and sewage treatment plant operators (691)", "454": "Elevator operators (5245)", "214": "Industrial engineering technicians (3712)", "699": "Miscellaneous plant and system operators (692, 694, 695, 696)", "338": "Payroll and timekeeping clerks (4713)", "461": "Guides (5255)", "463": "Public transportation attendants (5257)", "584": "Plasterers (6444)", "344": "Billing, posting, and calculating machine operators (4718)", "103": "Physical therapists (3033)", "225": "Science technicians, n.e.c. (3832, 3833, 384, 389)", "105": "Therapists, n.e.c. (3039)", "227": "Air traffic controllers (392)", "234": "Legal assistants (396)", "123": "History teachers (2222)", "486": "Groundskeepers and gardeners, except farm (5622)", "22": "managers and administrators, n.e.c. (121, 126, 132-1343, 136-139)", "23": "accountants and auditors (1412)", "24": "underwriters (1414)", "374": "Material recording, scheduling, and distributing clerks, n.e.c. (4759)", "495": "Forestry workers, except logging (572)", "258": "Sales engineers (421)", "139": "Education teachers (2237)", "35": "construction inspectors (1472)", "36": "inspectors and compliance officers, except construction (1473)", "37": "management rel. occupations, n.e.c. (149)", "44": "aerospace engineers(1622)", "153": "Teachers, postsecondary, n.e.c. (2249)", "155": "Teachers, prekindergarten and kindergarten (231)", "55": "Engineers, electrical and electronic (1633, 1636)", "56": "Engineers, industrial (1634)", "163": "Counselors, Educational and Vocational (24)", "167": "Psychologists (1915)", "83": "Medical scientists (1855)", "87": "Optometrists (281)", "193": "Dancers (327)", "97": "Dietitians (302)", "99": "Occupational therapists (3032)", "905": "Persons whose current labor force status is unemployed and last job was Armed Forces", "804": "Truck drivers (8212-8214)", "829": "Sailors and deckhands (8243)", "728": "Shaping and joining machine operators (7435, 7635)", "737": "Miscellaneous printing machine operators (6849, 7449, 7649", "738": "Winding and twisting machine operators (7451, 7651)", "748": "Laundering and dry cleaning machine operators (6855, 7658)", "507": "Bus, truck, and stationary engine mechanics (6112)", "874": "Production helpers (861, 862)", "754": "Packaging and filling machine operators (7462, 7662)", "875": "Garbage collectors (8722)", "636": "Precision assemblers, metal (6812)", "758": "Compressing and compacting machine operators (7467, 7667)", "765": "Folding machine operators (7474, 7674)", "645": "Patternmakers and model makers, metal (6817)", "654": "Sheet metal wrkr apprentices (part 6824)", "777": "Miscellaneous machine operators, n.e.c. (part 7479, 7665, 7679)", "787": "Hand molding, casting, and forming occupations (7754, 7755)", "427": "Protective service occupations, n.e.c. (5149)", "307": "Supervisors, distribution, scheduling, and adjusting clerks (4522, 4524-4528)", "553": "Supervisors, brickmasons, stonemasons, and tile setters (6312)", "796": "Production inspectors, checkers, and examiners (782, 787)", "434": "Bartenders (5212)", "438": "Food counter, fountain and rel. occupations (5216)", "563": "Brickmasons and stonemasons (part 6412, part 6413)", "687": "Bakers (6872)", "204": "Dental hygienists (363)", "327": "Order clerks (4664)", "576": "Electrician apprentices (part 6432)", "217": "Drafting occupations (372)", "459": "Attendants, amusement and recreation facilities (5254)", "583": "Paperhangers (6443)", "585": "Plumbers, pipefitters, and steamfitters (part 645)", "468": "Child care wrkrs, n.e.c. (part 5264)", "106": "Physicians' assistants (304)", "353": "Communications equipment operators, n.e.c. (4733, 4739)", "596": "Sheetmetal duct installers (6472)", "235": "Technicians, n.e.c. (399)", "598": "Drillers, earth (6474)", "115": "Chemistry teachers (2214)", "15": "managers, medicine and health (131)", "365": "Stock and inventory clerks (4754)", "126": "Social science teachers, n.e.c. (2225)", "127": "Engineering teachers (2226)", "25": "other financial officers (1415, 1419)", "133": "Medical science teachers (2231)", "377": "Eligibility clerks, social welfare (4784)", "263": "Sales workers, motor vehicles and boats (4342, 4344)", "387": "Teachers' aides (4795)", "267": "Sales workers, radio, Tv, hi-fi, and appliances (4343, 4352)", "268": "Sales workers, hardware and building supplies (4353)", "46": "mining engineers (1624)", "156": "Teachers, elementary school (232)", "278": "News vendors (4365)", "57": "Engineers, mechanical (1635)", "58": "marine and naval architects (1637)", "285": "Sales support occupations, n.e.c. (444, 446, 449)", "169": "Social scientists, n.e.c. (1913, 1914, 1919)", "69": "Physicists and astronomers (1842, 1843)", "176": "Clergy (2042)", "197": "Public relations specialists (332)", "4": "chief executives and general administrators, public administration (112)", "7": "financial managers (122)", "824": "Locomotive operating occupations (8232)", "704": "Operators, lathe and turning machine (7512)", "833": "Marine engineers (8244)", "856": "Industrial truck and tractor equipment operators (8318)", "616": "Mining machine operators (654)", "743": "Textile cutting machine operators (7654)", "876": "Stevedores (8723)", "517": "Farm equipment mechanics (6118)", "759": "Painting and paint spraying machine operators (7669)", "883": "Freight, stock, and material handlers, n.e.c. (8726)", "529": "Telephone installers and repairers (6158)", "773": "Motion picture projectionists (part 7479)", "414": "Supervisors, police and detectives (5112)", "415": "Supervisors, guards (5113)", "417": "Firefighting occupations (5123)", "538": "Office machine repairers (6174)", "785": "Assemblers (772, 774)", "305": "Supervisors, financial records processing (4521)", "668": "Upholsterers (6853)", "669": "Shoe repairers (6854)", "314": "Stenographers (4623)", "798": "Production samplers and weighers (784)", "557": "Supervisors, plumbers, pipefitters, and steamfitters (6316)", "799": "Graders and sorters, except agricultural (785)", "558": "Supervisors, construction, n.e.c. (6311, 6318)", "-1": "Not in Universe", "689": "Inspectors, testers, and graders (6881, 828)", "206": "Radiologic technicians (365)", "569": "Carpenter apprentices (part 6422)", "329": "Library clerks (4694)", "693": "Adjusters and calibrators (6882)", "575": "Electricians (part 6432)", "215": "Mechanical engineering technicians (3713)", "462": "Ushers (5256)", "464": "Baggage porters and bellhops (5262)", "469": "Personal service occupations, n.e.c. (5258, 5269)", "594": "Paving, surfacing, and tamping equipment operators (6466)", "357": "Messengers (4745)", "13": "managers, marketing, advertising, and public relations (125)", "19": "funeral directors (part 1359)", "485": "Supervisors, rel. agricultural occupations (5621)", "125": "Sociology teachers (2224)", "496": "Timber cutting and logging occupations (573, 579)", "255": "Securities and financial services sales occupations (4124)", "498": "Fishers (583)", "257": "Sales occupations, other business services (4152)", "138": "Physical education teachers (2236)", "384": "Proofreaders (4792)", "264": "Sales workers, apparel (4346)", "144": "Foreign language teachers (2242)", "147": "Theology teachers (2245)", "148": "Trade and industrial teachers (2246)", "277": "Street and door-to-door sales workers (4366)", "157": "Teachers, secondary school (233)", "53": "civil engineers (1628)", "164": "Librarians (251)", "66": "Actuaries (1732)", "76": "Physical scientists, n.e.c. (1849)", "184": "Technical writers (398)", "186": "Musicians and composers (323)", "188": "Painters, sculptors, craft-artists, and artist printmakers (325)", "88": "Podiatrists (283)", "195": "Editors and reporters (331)", "198": "Announcers (333)", "5": "administrators and officials, public administration (1132-1139)", "8": "personnel and labor relations managers (123)", "9": "purchasing managers (124)", "809": "Taxicab drivers and chauffeurs (8216)", "823": "Railroad conductors and yardmasters (8113)", "826": "Rail vehicle operators, n.e.c. (8239)", "707": "Rolling machine operators (7316, 7516)", "834": "Bridge, lock, and lighthouse tenders (8245)", "714": "Numerical control machine operators (7326)", "715": "Miscellaneous metal, plastic, stone, and glass working machine operators (7329, 7529)", "848": "Hoist and winch operators (8314)", "849": "Crane and tower operators (8315)", "859": "Misc material moving equipment operators (8319)", "744": "Textile sewing machine operators (7655)", "865": "Helpers, mechanics, and repairers (863)", "867": "Helpers, surveyor (8646)", "755": "Extruding and forming machine operators (7463, 7663)", "635": "Tool and die mkr apprentices (part 6811)", "757": "Separating, filtering, and clarifying machine operators (7476, 7666, 7676)", "763": "Roasting and baking machine operators, food (7472, 7672)", "887": "Vehicle washers and equipment cleaners (875)", "404": "Cooks, private household (504)", "646": "Lay-out workers (6821)", "407": "Private hhld cleaners and servants (502, 507, 509)", "658": "Furniture and wood finishers (6835)", "784": "Solderers and brazers (7333, 7533, 7717)", "304": "Supervisors, computer equipment operators (4512)", "667": "Tailors (part 6852)", "547": "Specified mechanics and repairers, n.e.c. (6177, 6179)", "789": "Hand painting, coating, and decorating occupations (7756)", "549": "Not specified mechanics and repairers", "675": "Hand molders and shapers, except jewelers (6861)", "313": "Secretaries (4622)", "797": "Production testers (783)", "678": "Dental laboratory and medical appliance technicians (6865)", "316": "Interviewers (4642)", "565": "Tile setters, hard and soft (part 6414, part 6462)", "686": "Butchers and meat cutters (6871)", "203": "Clinical laboratory technologists and technicians (362)", "325": "Classified-ad clerks (4662)", "326": "Correspondence clerks (4663)", "335": "File clerks (4696)", "104": "Speech therapists (3034)", "588": "Concrete and terrazzo finishers (6463)", "589": "Glaziers (6464)", "228": "Broadcast equipment operators (393)", "473": "Farmers, except horticultural (5512-5514)", "233": "Tool programmers, numerical control (3974)", "113": "Earth, environmental, and marine science teachers (2212)", "597": "Structural metal workers (6473)", "356": "Mail clerks, except postal service (4744)", "479": "Farm workers (5612-5617)", "364": "Traffic, shipping, and receiving clerks (4753)", "368": "Weighers, measurers, checkers, and samplers (4756, 4757)", "373": "Expediters (4758)", "494": "Supervisors, forestry and logging workers (571)", "134": "Health specialties teachers (2232)", "497": "Captains and other officers, fishing vessels (part 8241)", "378": "Bill and account collectors (4786)", "386": "Statistical clerks (4794)", "48": "chemical engineers (1626)", "154": "Postsecondary teachers, subject not specified", "276": "Cashiers (4364)", "59": "engineers, n.e.c. (1639)", "64": "computer systems analysts and scientists (171)", "67": "Statisticians (1733)", "174": "Social workers (2032)", "175": "Recreation workers (2033)", "89": "Health diagnosing practitioners, n.e.c. (289)", "6": "administrators, protective services (1131)", "709": "Grinding, abrading, buffing, and polishing machine operators (7322, 7324, 7522)", "724": "Heat treating equipment operators (7344, 7544)", "845": "Longshore equipment operators (8313)", "727": "Sawing machine operators (7433, 7633)", "853": "Excavating and loading machine operators (8316)", "733": "Miscellaneous woodworking machine operators (7434, 7439, 7634, 7639)", "613": "Supervisors, extractive occupations (632)", "614": "Drillers, oil well (652)", "508": "Aircraft engine mechanics (6113)", "509": "Small engine repairers (6114)", "753": "Cementing and gluing machine operators (7661)", "515": "Aircraft mechanics, except engine (6116)", "523": "Electronic repairers, communications and industrial equipment (6151, 6153, 6155)", "647": "Precious stones and metals workers (Jewelers) (6822, 6866)", "406": "Child care workers, private hhld (506)", "655": "Misc precision metal workers (6829)", "656": "Patternmkrs and model makers, wood (6831)", "779": "Machine operators, not specified", "659": "Misc precision woodworkers (6839)", "543": "Elevator installers and repairers (6176)", "544": "Millwrights (6178)", "303": "Supervisors, general office (4511, 4513, 4514, 4516, 4519, 4529)", "666": "Dressmakers (part 6852, part 7752)", "306": "Chief communications operators (4523)", "674": "Misc precision apparel and fabric workers (6856, 6859, part 7752)", "554": "Supervisors, carpenters and rel. workers (6313)", "435": "Waiters and waitresses (5213)", "677": "Optical goods workers (6864, part 7477, part 7677)", "317": "Hotel clerks (4643)", "683": "Electrical/electronic equipment assemblers (6867)", "688": "Food batchmakers (6873, 6879)", "573": "Drywall installers (6424)", "453": "Janitors and cleaners (5244)", "336": "Records clerks (4699)", "457": "Barbers (5252)", "216": "Engineering technicians, n.e.c. (3719)", "218": "Surveying and mapping technicians (373)", "343": "Cost and rate clerks (4716)", "465": "Welfare service aides (5263)", "587": "Plumber, pipefitter, and steamfitter apprentices (part 645)", "467": "Early childhood teacher's assistants (part 5264)", "226": "Airplane pilots and navigators (825)", "348": "Telephone operators (4732)", "477": "Supervisors, farm workers (5611)", "359": "Dispatchers (4751)", "119": "Economics teachers (2218)", "14": "admin, education and rel. fields (128)", "363": "Production coordinators (4752)", "366": "Meter readers (4755)", "489": "Inspectors, agricultural products (5627)", "26": "management analysts (142)", "29": "buyers, wholesale and retail trade except farm products (1442)", "254": "Real estate sales occupations (4123)", "375": "Insurance adjusters, examiners, and investigators (4782)", "256": "Advertising and rel. sales occupations (4153)", "136": "Agriculture and forestry teachers (2234)", "137": "Art, drama, and music teachers (2235)", "259": "Sales representatives, mining, manufacturing, and wholesale (423, 424)", "34": "business and promotion agents (145)", "143": "English teachers (2238)", "389": "Administrative support occupations, n.e.c. (4787, 4799)", "149": "Home economics teachers (2247)", "275": "Sales counter clerks (4363)", "54": "agricultural engineers (1632)", "168": "Sociologists (1916)", "177": "Religious workers, n.e.c. (2049)", "73": "Chemists, except biochemists (1845)", "77": "Agricultural and food scientists (1853)", "808": "Bus drivers (8215)", "828": "Ship captains and mates, except fishing boats (part 8241, 8242)", "719": "Molding and casting machine operators (7315, 7342, 7515, 7524)", "723": "Metal plating machine operators (7343, 7543)", "725": "Misc metal and plastic processing machine operators (7349, 7549)", "729": "Nailing and tacking machine operators (7636)", "736": "Typesetters and compositors (6841, 7642)", "617": "Mining occupations, n.e.c. (656)", "503": "Supervisors, mechanics and repairers (60)", "866": "Helpers, construction trades (8641-8645, 8648)", "506": "Auto mechanic apprentices (part 6111)", "525": "Data processing equipment repairers (6154)", "405": "Housekeepers and butlers (505)", "889": "Laborers, except construction (8769)", "535": "Camera, watch, and musical instrument repairers (6171, 6172)", "536": "Locksmiths and safe repairers (6173)", "657": "Cabinet makers and bench carpenters (6832)", "416": "Fire inspection and fire prevention occupations (5122)", "418": "Police and detectives, public service (5132)", "786": "Hand cutting and trimming occupations (7753)", "308": "Computer operators (4612)", "309": "Peripheral equipment operators (4613)", "793": "Hand engraving and printing occupations (7757)", "676": "Patternmakers, lay-out workers, and cutters (6862)", "556": "Supervisors, painters, paperhangers, and plasterers (6315)", "679": "Bookbinders (6844)", "564": "Brickmason and stonemason apprentices (part 6412, part 6413)", "445": "Dental assistants (5232)", "566": "Carpet installers (part 6462)", "447": "Nursing aides, orderlies, and attendants (5236)", "207": "Licensed practical nurses (366)" } } }, "APATYP1": { "label": "GI: Allocation flag for EPATYP1", "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" } } }, "APATYP2": { "label": "GI: Allocation flag for EPATYP2", "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)" } } }, "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": "8800", "description": "Amount in dollars" } ] } }, "APATYP3": { "label": "GI: Allocation flag for EPATYP3", "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" } } }, "APATYP4": { "label": "GI: Allocation flag for EPATYP4", "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" } } }, "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" } } }, "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" } } }, "ABLKLRSN": { "label": "GI: Allocation flag for RBLKLRSN", "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" } } }, "RWB2R1": { "label": "GI: First reason for applying for WIC the 2nd time", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "4": "Separated or divorced from spouse/parent", "8": "Just got around to applying", "7": "Just learned about program", "3": "Began receiving for another dependent", "5": "Loss of job/wages/other income", "2": "Pregnancy/birth of child", "-1": "Not in Universe", "6": "Loss of other support income", "9": "Became disabled", "10": "Other, specify" } } }, "RWB2R2": { "label": "GI: Second reason for applying for WIC the 2nd time", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "2": "Pregnancy/birth of child", "8": "Just got around to applying", "9": "Became disabled", "4": "Separated or divorced from spouse/parent", "6": "Loss of other support income", "10": "Other, specify", "7": "Just learned about program", "-1": "Not in Universe", "3": "Began receiving for another dependent", "5": "Loss of job/wages/other income" } } }, "WPFINWGT": { "label": "WW: Person weight", "predicateType": "int", "group": "N/A", "limit": 0, "is-weight": true }, "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)" } } }, "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" } } }, "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" } } }, "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" } ] } }, "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": "-4000", "max": "24000", "description": "Dollars" } ] } }, "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" } } }, "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)" } } }, "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" } } }, "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)" } } }, "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": "1299", "description": "Person number" } ] } }, "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)" } } }, "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": "1299", "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 Survivor", "1": "Disability", "3": "Survivor", "-1": "Not in Universe" } } }, "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": "105", "description": "Stratum Code" } ] } }, "EPPFLAG": { "label": "LF: Flag denoting imputation of person labor force data", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Yes", "-1": "Not in universe or 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": "5500", "description": "Dollars" } ] } }, "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" } ] } }, "A09AMT": { "label": "GI: Allocation flag for T09AMT", "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" } } }, "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" } } }, "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" } ] } }, "AAFSRVDI": { "label": "AF: Allocation flag for EAFSRVDI", "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" } } }, "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" } ] } }, "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)" } } }, "A07AMT": { "label": "GI: Allocation flag for T07AMT", "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" } } }, "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": "50000", "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": "50000", "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": "10400", "description": "Amount in dollars" } ] } }, "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", "29": "Missouri", "54": "West Virginia", "17": "Illinois", "18": "Indiana", "41": "Oregon", "25": "Massachusetts", "51": "Virginia", "36": "New York", "40": "Oklahoma", "02": "Alaska", "27": "Minnesota", "09": "Connecticut", "30": "Montana", "10": "Delaware", "55": "Wisconsin", "19": "Iowa", "61": "Maine, Vermont", "04": "Arizona", "26": "Michigan", "05": "Arkansas", "28": "Mississippi", "31": "Nebraska", "11": "DC", "33": "New Hampshire", "35": "New Mexico", "21": "Kentucky", "22": "Louisiana", "48": "Texas", "08": "Colorado", "16": "Idaho", "39": "Ohio", "45": "South Carolina", "62": "North Dakota, South Dakota, Wyoming", "20": "Kansas", "01": "Alabama", "24": "Maryland", "06": "California", "53": "Washington", "34": "New Jersey", "13": "Georgia", "15": "Hawaii", "37": "North Carolina", "44": "Rhode Island", "32": "Nevada", "12": "Florida", "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": "7100", "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 EEMPSIZ1", "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" } } }, "EPOPSTAT": { "label": "PE: Population status based on age in fourth ref. 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)" } } }, "T26AMT": { "label": "GI: Amount of pass-through child support payments", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "None or not in universe" }, "range": [ { "min": "1", "max": "99999", "description": "Amount in dollars" } ] } }, "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" } } }, "THEARN": { "label": "HH: Total household earned income", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "range": [ { "min": "0", "max": "1500000", "description": "Dollar amount" } ] } }, "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)" } } }, "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" } } }, "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" } } }, "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" } ] } }, "TSFPOV": { "label": "SF: Low income cutoff for this related subfamily", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "Not In Universe" }, "range": [ { "min": "1", "max": "40000", "description": "Dollar amount" } ] } }, "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" } ] } }, "ARNDUP2": { "label": "AS: Allocation flag for TRNDUP2.", "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" } } }, "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" } ] } }, "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" } } }, "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" } } }, "THNONCSH": { "label": "HH: Total Household Noncash Income Recode", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "range": [ { "min": "0", "max": "150000", "description": "Dollar amount" } ] } }, "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" } ] } }, "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" } } }, "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)" } } }, "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)" } } }, "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" } } }, "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)" } } }, "EPATYP2": { "label": "GI: Receipt of general assistance (ISS Code 21)", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "-1": "Not in Universe", "1": "Yes", "2": "No" } } }, "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" } } }, "EPATYP1": { "label": "GI: Receipt of AFDC (ISS Code 20)", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "2": "No", "1": "Yes", "-1": "Not in Universe" } } }, "EPATYP4": { "label": "GI: Receipt of other public assistance (ISS Code 24)", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "-1": "Not in Universe", "1": "Yes", "2": "No" } } }, "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" } } }, "EPATYP3": { "label": "GI: Receipt of energy assistance (ISS Code 19)", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Yes", "-1": "Not in Universe", "2": "No" } } }, "RFS1": { "label": "GI: Reason for stopping Food Stamps the first time", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "4": "Other, specify", "2": "Because of family changes", "-1": "Not in Universe", "1": "Became ineligible because of increased income", "3": "Still eligible but could/chose not to collect" } } }, "ER07": { "label": "GI: Receipt of Other Unemployment Comp. (ISS Code 7)", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Yes", "2": "No", "-1": "Not in Universe" } } }, "ETYPMOM": { "label": "PE: Type of child to mother", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Biological or natural 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" } } }, "RFS2": { "label": "GI: Reason for stopping Food Stamps the second time", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "2": "Because of family changes", "3": "Still eligible but could/chose not to collect", "-1": "Not in Universe", "4": "Other, specify", "1": "Became ineligible because of increased income" } } }, "ER09": { "label": "GI: Receipt of Black Lung payments (ISS Code 9)", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "2": "No", "-1": "Not in Universe", "1": "Yes" } } }, "SPANEL": { "label": "SU: Sample Code - Indicates Panel Year", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1996": "Panel Year" } } }, "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)" } } }, "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)", "10": "Enrolled in college, but not working towards a degree", "1": "Elementary grades 1-8", "2": "High school grades 9-12", "7": "College year 5 (first year graduate or professional school)", "9": "Vocational, technical, or business school beyond high school level", "3": "College year 1 (freshman)", "8": "College year 6+ (second year or or higher in grad. or professional school)", "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)", "4": "Statistical or logical imputation using previous wave data", "1": "Statistical imputation (hot deck)" } } }, "RAB2R1": { "label": "GI: First reason for applying for AFDC the 2nd time", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "6": "Loss of other support income", "4": "Separated or divorced from spouse/parent", "7": "Just learned about program", "10": "Other, specify", "3": "Began receiving for another dependent", "-1": "Not in Universe", "5": "Loss of job/wages/other income", "2": "Pregnancy/birth of child", "8": "Just got around to applying", "9": "Became disabled" } } }, "WFFINWGT": { "label": "WW: 'WPFINWGT' for head of family", "predicateType": "int", "group": "N/A", "limit": 0, "is-weight": true, "values": { "range": [ { "min": "0.0", "max": "999999.9999", "description": "Person weight for family reference person" } ] } }, "RAB2R2": { "label": "GI: Second reason for applying for AFDC the 2nd time", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "6": "Loss of other support income", "4": "Separated or divorced from spouse/parent", "-1": "Not in Universe", "7": "Just learned about program", "10": "Other, specify", "9": "Became disabled", "2": "Pregnancy/birth of child", "3": "Began receiving for another dependent", "5": "Loss of job/wages/other income", "8": "Just got around to applying" } } }, "TPRFTB1": { "label": "BS: Net profit or loss", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "None or not in universe" }, "range": [ { "min": "-2500", "max": "17450", "description": "Dollars" } ] } }, "RWS2": { "label": "GI: Reason for stopping WIC the second time", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "4": "Other, specify", "-1": "Not in Universe", "1": "Became ineligible because of increased income", "3": "Still eligible but could/chose not to collect", "2": "Because of family changes" } } }, "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" } } }, "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" } } }, "RWS1": { "label": "GI: Reason for stopping WIC the first time", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "-1": "Not in Universe", "1": "Became ineligible because of increased income", "2": "Because of family changes", "4": "Other, specify", "3": "Still eligible but could/chose not to collect" } } }, "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" } ] } }, "TPRFTB2": { "label": "BS: Net profit or loss", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "0": "None or not in universe" }, "range": [ { "min": "-2500", "max": "17450", "description": "Dollars" } ] } }, "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" } } }, "ASOWNDIV": { "label": "AS: Allocation flag for TSOWNDIV", "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": "Statistical or logical imputation using previous wave data" } } }, "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" } } }, "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" } } }, "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" } } }, "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 AFDC", "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" } } }, "TSBDATE1": { "label": "BS: Date operation of business began", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "-1": "Not in Universe" }, "range": [ { "min": "19260101", "max": "20000228", "description": "Date" } ] } }, "TSBDATE2": { "label": "BS: Date operation of business began", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "-1": "Not in Universe" }, "range": [ { "min": "19260101", "max": "20000228", "description": "Date" } ] } }, "TFAFDC": { "label": "FA: Total Family Aid to Families w/Dependent Children", "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 AFDC,ADC (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" } } }, "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" } } }, "ER26": { "label": "GI: Receipt of Pass Through Child Support Payments", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "2": "No", "1": "Yes", "-1": "Not in Universe" } } }, "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", "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" } } }, "EAST1A": { "label": "AS: U.S. governement savings bonds owned", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Yes", "2": "No", "-1": "Not in Universe" } } }, "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" } } }, "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": "3300", "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" } } }, "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" } } }, "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)" } } }, "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" } ] } }, "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)" } } }, "RENRLMA": { "label": "ED: Full period enrollment status", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Yes", "2": "No", "-1": "Not in Universe" } } }, "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" } } }, "ER12": { "label": "GI: Receipt of Employer/Union Temp. Sickness Benefits", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "2": "No", "1": "Yes", "-1": "Not in Universe" } } }, "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" } } }, "ERSEND2": { "label": "JB: Main reason stopped work", "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", "-1": "Not in Universe", "8": "Discharged/fired", "12": "Quit to take another job", "2": "Retirement or old age", "10": "Employer, sold business", "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" } } }, "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" } } }, "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" } } }, "ERSEND1": { "label": "JB: Main reason stopped working", "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", "14": "Unsatisfactory work arrangements (hours,pay,etc)", "15": "Quit for some other reason", "11": "Job was temporary and ended", "-1": "Not in Universe", "2": "Retirement or old age", "3": "Childcare problems", "6": "Own injury", "10": "Employer, sold business" } } }, "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" } } }, "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" } } }, "ER42": { "label": "GI: Receipt of draw from IRA/Keough/401k or Thrift Plan", "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)", "2": "Cold deck imputation", "4": "Statistical or logical imputation using previous wave data" } } }, "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)" } } }, "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)" } } }, "RCUTYP04": { "label": "PE: State SSI coverage flag", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Yes, covered", "2": "No, not covered" } } }, "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" } } }, "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" } } }, "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" } } }, "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)", "4": "Statistical or logical imputation using previous wave data", "2": "Cold deck imputation" } } }, "EDISABL": { "label": "LF: Had a physical or mental work-limiting 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": "43600", "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", "0": "Not imputed", "1": "Statistical imputation (hot deck)", "4": "Statistical or logical imputation using previous wave data" } } }, "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", "0": "0 weeks (that is, did not look for work or not on layoff)", "2": "2 weeks", "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" } } }, "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" } } }, "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" } } }, "ER37": { "label": "GI: Receipt of Estates or Trusts (ISS Code 37)", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "1": "Yes", "2": "No", "-1": "Not in Universe" } } }, "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" } } }, "EPATYN": { "label": "GI: Receipt of AFDC, welfare, or public assistance", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "2": "No", "-1": "Not in Universe", "1": "Yes" } } }, "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": "4800", "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": "19260101", "max": "20000228", "description": "Date" } ] } }, "TEJDATE2": { "label": "JB: Ending date of job", "predicateType": "int", "group": "N/A", "limit": 0, "values": { "item": { "-1": "Not in Universe" }, "range": [ { "min": "19260101", "max": "20000228", "description": "Date" } ] } } } }