Yes No Not in Universe No Yes Not in Universe Cold deck imputation Statistical imputation (hot deck) Statistical or logical imputation using previous wave data Logical imputation (derivation) Not imputed Not imputed Statistical imputation (hot deck) Cold deck imputation Statistical or logical imputation using previous wave data Logical imputation (derivation) Yes Not in universe or not applicable Statistical or logical imputation using previous wave data Logical imputation (derivation) Cold deck imputation Not imputed Statistical imputation (hot deck) Longitudinal statistical imputation (hot deck) Statistical or logical imputation using previous wave data Statistical imputation (hot deck) Cold deck imputation Logical imputation (derivation) Longitudinal logical imputation (derivation) Not imputed Statistical imputation(hot deck) Cold deck Not imputed Imputed based on previous wave data Logical imputation(derivation) Other service (All other periods) May 1975 to August 1980 September 1980 to July 1990 August 1990 to present (including Persian Gulf War) Vietnam Era (Aug '64 - April '75) Don't know Refused Not answered No, not covered Yes, covered No, not covered Yes, covered Statistical imputation (hot deck) Cold deck imputation Statistical or logical imputation using previous wave data Logical imputation (derivation) Not imputed Statistical imputation(hot deck) Logical imputation(derivation) Not imputed Cold deck Statistical imputation(hot deck) Cold deck Logical imputation(derivation) Not imputed Suppressed Statistical imputation (hot deck) Not imputed Statistical or logical imputation using previous wave data Logical imputation (derivation) Cold deck imputation Other, specify Still eligible but could/chose not to collect Because of family changes Became Ineligible because program requirements not met Eligibility ran out because of time limits Became ineligible because of increased income Not in Universe None or not in universe Dollar amount Yes, covered No, not covered May 1975 to August 1980 Other service (All other periods) Not answered No other periods of service August 1990 to present (including Persian Gulf War) September 1980 to July 1990 Vietnam Era (Aug '64 - April '75) No other periods of service August 1990 to present (including Persian Gulf War) Vietnam Era (Aug '64 - April '75) Other service (All other periods) Not answered September 1980 to July 1990 May 1975 to August 1980 No, not covered Yes, covered No other periods of service August 1990 to present (including Persian Gulf War) Other service (All other periods) Not answered Vietnam Era (Aug '64 - April '75) September 1980 to July 1990 May 1975 to August 1980 Yes, covered No, not covered None or not in universe Amount in dollars Not answered May 1975 to August 1980 Other service (All other periods) September 1980 to July 1990 Vietnam Era (Aug '64 - April '75) August 1990 to present (including Persian Gulf War) No other periods of service No, not covered Yes, covered Not universe Yes No Cold deck imputation Logical imputation (derivation) Statistical or logical imputation using previous wave data Not imputed Statistical imputation (hot deck) Yes No Not in Universe Logical imputation (derivation) Cold deck imputation Not imputed Statistical or logical imputation using previous wave data Statistical imputation (hot deck) No Yes Not in Universe Yes No Not in Universe Yes No Not in Universe Not imputed Logical imputation (derivation) Statistical or logical imputation using previous wave data Statistical imputation (hot deck) Cold deck imputation Not in Universe No Yes Not in Universe No Yes On layoff (temporary or indefinite) Own injury Bad weather Participated in a job-sharing arrangement Taking care of children On vacation/personal days Labor Dispute Other Own illness/injury/medical problems Pregnancy/childbirth Not in Universe Slack work or business conditions New job to begin within 30 days Not imputed Cold deck Logical imputation(derivation) Statistical imputation(hot deck) None or not in universe Dollar amount Statistical or logical imputation using previous wave data Cold deck imputation Logical imputation (derivation) Not imputed Statistical imputation (hot deck) Yes Not in Universe No Not in Universe Year received associate degree None or not in universe Dollar amount Had never been employed before work limitation began Not in Universe Month Not in Universe No Yes None or not in universe Amount in dollars Statistical imputation (hot deck) Cold deck imputation Logical imputation (derivation) Statistical or logical imputation using previous wave data Not imputed None or not in universe Dollar amount No Not in Universe Yes Yes Not in Universe No Alone Not in Universe Partnership Statistical imputation (hot deck) Logical imputation (derivation) Not imputed Statistical or logical imputation using previous wave data Cold deck imputation Logical imputation (derivation) Statistical or logical imputation using previous wave data Statistical imputation (hot deck) Not imputed Cold deck imputation Not imputed Statistical imputation(hot deck) Logical imputation(derivation) Cold deck Imputed based on previous wave data Not in Universe Because of family changes Eligibility ran out because of time limits Became ineligible because of increased income Became Ineligible because program requirements not met Still eligible but could/chose not to collect Other, specify Number of children None or not in universe Amount in dollars Yes Not in Universe No Cold deck imputation Logical imputation(derivation) Not imputed Statistical or logical imputation using previous wave data Statistical imputation(hot deck) No, not covered Yes, covered Not imputed Logical imputation(derivation) Statistical or logical imputation using previous wave data Statistical imputation(hot deck) Cold deck imputation Alone Partnership Not in Universe Cold deck imputation Not imputed Logical imputation(derivation) Statistical imputation(hot deck) Statistical or logical imputation using previous wave data No Not in Universe Yes Logical imputation(derivation) Statistical or logical imputation using previous wave data Cold deck imputation Not imputed Statistical imputation(hot deck) Not imputed Cold deck imputation Statistical imputation(hot deck) Logical imputation(derivation) Statistical or logical imputation using previous wave data Calendar month None or not in universe Amount in dollars None or not in universe Amount in dollars No job/bus - not looking and not on layoff With job/bus - working With job/bus - on layoff, absent without pay Not in Universe With job/bus - not on layoff, absent without pay No job/bus - looking for work or on layoff With job/bus - on layoff, absent without pay Not in Universe With job/bus - not on layoff, absent without pay No job/bus - looking for work or on layoff With job/bus - working No job/bus - not looking and not on layoff No job/bus - not looking and not on layoff No job/bus - looking for work or on layoff With job/bus - not on layoff, absent without pay With job/bus - on layoff, absent without pay With job/bus - working Not in Universe No job/bus - not looking and not on layoff With job/bus - on layoff, absent without pay Not in Universe With job/bus - not on layoff, absent without pay With job/bus - working No job/bus - looking for work or on layoff With job/bus - working With job/bus - on layoff, absent without pay No job/bus - looking for work or on layoff No job/bus - not looking and not on layoff Not in Universe With job/bus - not on layoff, absent without pay Yes Not in Universe Logical imputation (derivation) Statistical or logical imputation using previous wave data Statistical imputation (hot deck) Not imputed Cold deck imputation Statistical imputation(hot deck) Logical imputation(derivation) Imputed based on previous wave data Not imputed Cold deck Calendar year Not imputed Cold deck Statistical imputation(hot deck) Logical imputation(derivation) Not in Universe Had never been employed before work limitation began Year Over 65 Not in Universe Other, specify Became disabled/blind Not in Universe Became disabled/blind Over 65 Other, specify Cold deck imputation Statistical or logical imputation using previous wave data Logical imputation (derivation) Not imputed Statistical imputation (hot deck) None or not in universe Dollar amount Logical imputation (derivation) Statistical imputation (hot deck) Statistical or logical imputation using previous wave data Not imputed Cold deck imputation Weight Logical imputation(derivation) Statistical imputation(hot deck) Imputed based on previous wave data Not imputed Cold deck Imputed based on previous wave data Statistical imputation(hot deck) Cold deck Logical imputation(derivation) Not imputed Person became limited before age 16 Not in Universe Month the person became limited Survivor Not in Universe No payment received Retirement and survivor Disability and Survivor Disability, retirement, and survivor Disability and retirement Disability Retirement Suppressed Dollar amount Statistical imputation (hot deck) Logical imputation (derivation) Not imputed Statistical or logical imputation using previous wave data Cold deck imputation Disability Not in Universe No payment received Suppressed Yes No Not in Universe Dollar amount Not imputed Cold deck Statistical imputation(hot deck) Logical imputation(derivation) Yes Not answered No Don't know Refused Retired Disabled Not in Universe Spouse or dependent child Widowed or surviving child Some other reason One, attached 50 or more 10-19 One, detached Not in Universe 5-9 Suppressed Two 20-49 3:4 Logical imputation (derivation) Not imputed Cold deck imputation Statistical imputation (hot deck) Statistical or logical imputation using previous wave data Disabled Spouse or dependent child Some other reason Retired Not in Universe Persons providing only one reason Widowed or surviving child Interview (self) Noninterview - pseudo Type Z. Left sample during the reference period Children under 15 during reference period Noninterview - Type Z Interview (proxy) No, not covered Yes, covered Yes, covered No, not covered None or not in universe Dollars Number of persons in household Not in Universe Hours Not in Universe Hours Not imputed Cold deck imputation Statistical imputation(hot deck) Logical imputation(derivation) Statistical or logical imputation using previous wave data Yes No Not in Universe Not imputed Statistical imputation(hot deck) Cold deck Logical imputation(derivation) Not imputed Cold deck imputation Statistical imputation(hot deck) Logical imputation(derivation) Statistical or logical imputation using previous wave data Statistical or logical imputation using previous wave data Not imputed Statistical imputation(hot deck) Logical imputation(derivation) Cold deck imputation None or not in universe Dollar amount Less than 1 full day 1 Day to 1 week Not in Universe More than 1 week No Yes Not in Universe Cold deck Logical imputation(derivation) Not imputed Statistical imputation(hot deck) Imputed based on previous wave data No Yes Not in Universe None or not in universe Amount in dollars Yes No Not in Universe Not imputed Logical imputation (derivation) Statistical or logical imputation using previous wave data Cold deck imputation Statistical imputation (hot deck) More than 1 week Not in Universe 1 Day to 1 week Less than 1 full day Not imputed Logical imputation (derivation) Longitudinal logical imputation (derivation) Longitudinal statistical imputation (hot deck) Cold deck imputation Statistical or logical imputation using previous wave data Statistical imputation (hot deck) Statistical or logical imputation using previous wave data Longitudinal logical imputation (derivation) Not imputed Cold deck imputation Logical imputation (derivation) Statistical imputation (hot deck) Longitudinal statistical imputation (hot deck) Statistical imputation(hot deck) Not imputed Logical imputation(derivation) Cold deck Suppressed Suppressed Number of recipients Suppressed None or not in universe Amount in dollars Suppressed None or not in universe Dollars None or not in universe Dollar amount Cold deck imputation Not imputed Logical imputation(derivation) Statistical imputation(hot deck) Statistical or logical imputation using previous wave data Not in Universe Yes No Not imputed Statistical or logical imputation using previous wave data Cold deck imputation Logical imputation(derivation) Statistical imputation(hot deck) No Not in Universe Yes Suppressed Thyroid trouble or goiter Other Cancer Deafness or serious trouble hearing Tumor, cyst or growth Kidney stones or chronic kidney trouble Arthritis or rheumatism Back or spine problems (including chronic stiffness or deformity of the back or spine) Broken bone/fracture Senility/Dementia/Alzheimer's Disease Speech Disorder Diabetes High blood pressure (hypertension) Learning disability Lung or respiratory, tuberculosis or other lung trouble Stroke Heart trouble, hardening the arteries (arteriosclerosis) Hernia or spinal injury Mental or emotional problem or disorder Alcohol or drug problem or disorder AIDS or AIDS Related Condition (ARC) Cerebral Palsy Not in Universe Mental retardation Epilepsy Paralysis of any kind Stomach trouble Stiffness or deformity of the foot, leg, arm, or hand Head or spinal cord injury Blindness or vision problems (difficulty seeing a newspaper, even with glasses) Missing legs, feet, arms, hands, or fingers No Yes Not in Universe Statistical imputation(hot deck) Cold deck Logical imputation(derivation) Not imputed Statistical or logical imputation using previous wave data Not imputed Logical imputation (derivation) Cold deck imputation Statistical imputation (hot deck) Logical imputation(derivation) Not imputed Cold deck Statistical imputation(hot deck) Because of family changes Became Ineligible because program requirements not met Not in Universe Other, specify Still eligible but could/chose not to collect Became ineligible because of increased income Eligibility ran out because of time limits Became ineligible because of increased income Still eligible but could/chose not to collect Other, specify Became Ineligible because program requirements not met Eligibility ran out because of time limits Not in Universe Because of family changes Disability, retirement, and survivor Disability and Survivor Retirement and survivor Survivor Disability and retirement No payment received Disability Retirement Not in Universe Dollar amount Cold deck imputation Longitudinal statistical imputation (hot deck) Statistical imputation (hot deck) Longitudinal logical imputation (derivation) Logical imputation (derivation) Statistical or logical imputation using previous wave data Not imputed None or not in universe Amount in dollars Yes No Not in Universe Not in Universe Yes No Suvivor Not in Universe Retirement and survivor Disability and Survivor Retirement Disability, retirement, and survivor No payment received Disability Disability and retirement Not imputed Statistical or logical imputation using previous wave data Statistical imputation (hot deck) Cold deck imputation Logical imputation (derivation) Cold deck imputation Not imputed Logical imputation (derivation) Statistical or logical imputation using previous wave data Statistical imputation (hot deck) November August March April May January February December October July September June Not imputed Cold deck imputation Statistical imputation (hot deck) Logical imputation (derivation) Statistical or logical imputation using previous wave data Cold deck imputation Not imputed Logical imputation(derivation) Statistical imputation(hot deck) Statistical or logical imputation using previous wave data Statistical imputation(hot deck) Statistical or logical imputation using previous wave data Not imputed Cold deck imputation Logical imputation(derivation) Not in Universe No Yes Statistical imputation (hot deck) Statistical or logical imputation using previous wave data Not imputed Cold deck imputation Logical imputation (derivation) No mother in household Person number Not In Universe Dollar amount None or not in universe Dollars Yes Not in Universe No Always lived there Not in universe or not a valid year given Respondent didn't supply valid month Month moved into the previous home None or not in universe Dollars Statistical imputation (hot deck) Cold deck imputation Logical imputation (derivation) Statistical or logical imputation using previous wave data Not imputed Not in Universe Yes No Imputed based on previous wave data Cold deck Statistical imputation(hot deck) Not imputed Logical imputation(derivation) Statistical imputation (hot deck) Cold deck imputation Logical imputation (derivation) Statistical or logical imputation using previous wave data Not imputed Became disabled Other, specify Not in Universe Just got around to applying Pregnancy/birth of child Loss of other support income Loss of job/wages/other income Began receiving for another dependent Separated or divorced from spouse/parent Just learned about program Statistical imputation (hot deck) Logical imputation (derivation) Not imputed Cold deck imputation Statistical or logical imputation using previous wave data Not in Universe Other, specify Loss of other support income Began receiving for another dependent Separated or divorced from spouse/parent Loss of job/wages/other income Became disabled Just got around to applying Just learned about program Pregnancy/birth of child Cold deck Statistical imputation(hot deck) Logical imputation(derivation) Not imputed Yes No No Yes Not in Universe None or not in universe Dollars Not imputed Logical imputation (derivation) Cold deck imputation Statistical or logical imputation using previous wave data Statistical imputation (hot deck) Statistical imputation(hot deck) Logical imputation(derivation) Cold deck Not imputed None or not in universe Amount in dollars No spouse in subfamily Not in Universe Person number of spouse of related subfamily reference person With his/her own father In his/her own household In foster care/foster family Refused In an institution (hospital) Other Don't know In school dormitory With an adoptive parent(s) In correctional facility With his/her own grandparent(s) With other relatives Deceased Not in Universe In this household Statistical imputation (hot deck) Logical imputation (derivation) Cold deck imputation Statistical or logical imputation using previous wave data Not imputed Cold deck imputation Logical imputation (derivation) Not imputed Statistical or logical imputation using previous wave data Statistical imputation (hot deck) Not imputed Cold deck imputation Statistical or logical imputation using previous wave data Statistical imputation(hot deck) Logical imputation(derivation) Yes Not in Universe No Yes No Not in Universe Not imputed Statistical imputation (hot deck) Cold deck imputation Logical imputation (derivation) Logical imputation(derivation) Not imputed Statistical imputation(hot deck) Cold deck imputation Statistical or logical imputation using previous wave data None or not in universe Amount in dollars Survivor Disability and Survivor Disability Disability and retirement Not in Universe No payment received Disability, retirement, and survivor Retirement Retirement and survivor Statistical imputation (hot deck) Logical imputation (derivation) Cold deck imputation Not imputed Statistical or logical imputation using previous wave data Veteran's Pension Not in Universe Other Veteran's Payments Service-connected disability compensation Survivor Benefits Yes Not in Universe No In universe Not in Universe Statistical or logical imputation using previous wave data Statistical imputation (hot deck) Cold deck imputation Logical imputation (derivation) Not imputed Not imputed Statistical imputation (hot deck) Logical imputation (derivation) Statistical or logical imputation using previous wave data Cold deck imputation Cold deck imputation Statistical imputation(hot deck) Not imputed Logical imputation(derivation) Statistical or logical imputation using previous wave data No Yes Not in Universe Not in Universe No payment received Retirement and survivor Disability, retirement, and survivor Disability and Survivor Retirement Disability Survivor Disability and retirement Change occurred No change occurred Not imputed Statistical or logical imputation using previous wave data Logical imputation(derivation) Cold deck imputation Statistical imputation(hot deck) Not imputed Cold deck imputation Statistical imputation(hot deck) Statistical or logical imputation using previous wave data Logical imputation(derivation) No Not in Universe Yes Logical imputation(derivation) No imputation Cold deck Imputed based on previous wave data Statistical imputation(hot deck) Not in Universe In universe Statistical imputation(hot deck) Cold deck imputation Not imputed Logical imputation(derivation) Not imputed Statistical imputation(hot deck) Logical imputation(derivation) Cold deck imputation Statistical or logical imputation using previous wave data Statistical imputation(hot deck) Logical imputation(derivation) Statistical or logical imputation using previous wave data Cold deck imputation Not imputed Statistical imputation(hot deck) Logical imputation(derivation) No imputation Imputed based on previous wave data Cold deck Cold deck imputation Not imputed Statistical or logical imputation using previous wave data Statistical imputation (hot deck) Logical imputation (derivation) No imputation Logical imputation(derivation) Statistical imputation(hot deck) Imputed based on previous wave data Cold deck Statistical imputation(hot deck) Logical imputation(derivation) No imputation Imputed based on previous wave data Cold deck Other Military/VA health care CHAMPVA Privately purchased TRICARE/CHAMPUS Not in Universe Current employer or work Former employer Union Cold deck imputation Logical imputation(derivation) Not imputed Statistical imputation(hot deck) Contingent workers Not in Universe Number of jobs held during the reference period None or not in universe Dollar amount Suppressed No Not in Universe Yes Statistical imputation(hot deck) Cold deck Logical imputation(derivation) Not imputed No Not in Universe Yes Suppressed Suppressed Yes Not in Universe No Not in Universe Yes No Cold deck Logical imputation(derivation) Imputed based on previous wave data No imputation Statistical imputation(hot deck) Statistical imputation(hot deck) Cold deck Imputed based on previous wave data Logical imputation(derivation) No imputation Suppressed No imputation Cold deck Logical imputation(derivation) Statistical imputation(hot deck) Imputed based on previous wave data Cold deck Statistical imputation(hot deck) Logical imputation(derivation) Imputed based on previous wave data No imputation Statistical imputation(hot deck) Not imputed Cold deck Logical imputation(derivation) Imputed based on previous wave data No imputation Statistical imputation(hot deck) Logical imputation(derivation) Imputed based on previous wave data Cold deck No imputation Imputed based on previous wave data Statistical imputation(hot deck) Logical imputation(derivation) Cold deck No children Not in Universe Number of children Not in Universe Year of first marriage Imputed based on previous wave data No imputation Statistical imputation(hot deck) Cold deck Logical imputation(derivation) Logical imputation(derivation) Cold deck Not imputed Statistical imputation(hot deck) Suppressed Statistical imputation (hot deck) Statistical or logical imputation using previous wave data Not imputed Cold deck imputation Logical imputation (derivation) Yes Not in Universe No Logical imputation(derivation) No imputation Imputed based on previous wave data Cold deck Statistical imputation(hot deck) Cold deck Imputed based on previous wave data Logical imputation(derivation) No imputation Statistical imputation(hot deck) Not imputed Logical imputation Statistical imputation (hot deck) Cold deck imputation Statistical imputation(hot deck) Logical imputation(derivation) Imputed based on previous wave data No imputation Cold deck Logical imputation(derivation) Statistical imputation(hot deck) Imputed based on previous wave data No imputation Cold deck None or not in universe Amount in dollars Logical imputation (derivation) Statistical or logical imputation using previous wave data Not imputed Cold deck imputation Statistical imputation (hot deck) Statistical imputation (hot deck) Logical imputation (derivation) Cold deck imputation Statistical or logical imputation using previous wave data Not imputed Not in Universe Yr last enrolled in post secondary institution Imputed based on previous wave data No imputation Cold deck Statistical imputation(hot deck) Logical imputation(derivation) No imputation Logical imputation(derivation) Cold deck Imputed based on previous wave data Statistical imputation(hot deck) Logical imputation Not imputed Statistical imputation (hot deck) Cold deck imputation Cold deck No imputation Imputed based on previous wave data Statistical imputation(hot deck) Logical imputation(derivation) Statistical imputation(hot deck) No imputation Logical imputation(derivation) Imputed based on previous wave data Cold deck None Part All Not in Universe Imputed based on previous wave data Logical imputation(derivation) Statistical imputation(hot deck) Cold deck No imputation No imputation Cold deck Statistical imputation(hot deck) Logical imputation(derivation) Imputed based on previous wave data Not imputed Cold deck Imputed based on previous wave data Statistical imputation(hot deck) Logical imputation(derivation) No imputation Statistical imputation(hot deck) Cold deck Logical imputation(derivation) Imputed based on previous wave data None or not in universe Dollars Logical imputation(derivation) Statistical imputation(hot deck) Imputed based on previous wave data Cold deck No imputation Logical imputation(derivation) No imputation Statistical imputation(hot deck) Imputed based on previous wave data Cold deck Logical imputation(derivation) No imputation Cold deck Statistical imputation(hot deck) Imputed based on previous wave data Imputed based on previous wave data No imputation Statistical imputation(hot deck) Logical imputation(derivation) Cold deck Has never been able to work at a job Not in Universe Month Yes No Not in Universe Cold deck imputation Not imputed Logical imputation Statistical imputation (hot deck) Cold deck imputation Logical imputation(derivation) Statistical or logical imputation using previous wave data Statistical imputation(hot deck) Not imputed None or not in universe Amount in dollars Cold deck imputation Statistical imputation(hot deck) Logical imputation(derivation) Not imputed Statistical or logical imputation using previous wave data With a job all month, absent from work without pay 1+ weeks, absence not due to layoff No job all month, on layoff or looking for work all weeks. No job, no time on layoff and no time looking for work. With job all month, absent from work without pay 1+ weeks, absence due to layoff With job at least 1 but not all weeks, some weeks on layoff or looking for work With a job entire month, worked all weeks. Not in Universe With a job at least 1 but not all weeks, no time on layoff and no time looking for work No job, at least one but not all weeks on layoff or looking for work None or not in universe Dollars Pregnancy/birth of child Separated or divorced from spouse/parent Loss of other support income Loss of job/wages/other income Became disabled Began receiving for another dependent Not in Universe Just learned about program Just got around to applying Other, specify Pregnancy/birth of child Other, specify Began receiving for another dependent Separated or divorced from spouse/parent Just got around to applying Became disabled Not in Universe Just learned about program Loss of job/wages/other income Loss of other support income Logical imputation(derivation) Statistical or logical imputation using previous wave data Not imputed Statistical imputation(hot deck) Cold deck imputation Logical imputation (derivation) Statistical or logical imputation using previous wave data Not imputed Statistical imputation (hot deck) Cold deck imputation Not answered Refused No Don't know Yes Not imputed Statistical imputation(hot deck) Statistical or logical imputation using previous wave data Cold deck imputation Logical imputation(derivation) Dollar amount Statistical imputation(hot deck) Imputed based on previous wave data No imputation Cold deck Logical imputation(derivation) No imputation Statistical imputation(hot deck) Imputed based on previous wave data Cold deck Logical imputation(derivation) None or not in universe Dollars Statistical imputation(hot deck) Logical imputation(derivation) No imputation Cold deck Imputed based on previous wave data Not in Universe Uninsured Other or invalid code Retired or disabled worker Missing code Spouse of retired or disabled worker Widow of retired or disabled worker Adult disabled as a child Imputed based on previous wave data Statistical imputation(hot deck) Logical imputation(derivation) No imputation Cold deck Cold deck imputation Logical imputation(derivation) Not imputed Statistical imputation(hot deck) Statistical or logical imputation using previous wave data Statistical or logical imputation using previous wave data Not imputed Statistical imputation(hot deck) Logical imputation(derivation) Cold deck imputation Male Headed Headed by Husband/Wife Female Headed None or not in universe Amount in dollars Yes No Not in Universe Statistical or logical imputation using previous wave data Not imputed Statistical imputation (hot deck) Cold deck imputation Logical imputation (derivation) Logical imputation (derivation) No imputation Statistical or logical imputation using previous wave data Cold deck imputation Statistical imputation (hot deck) Unable to identify person number of partner Not in Universe Person number of partner Unable to identify person number of partner Not in Universe Person number of partner No Lump Sum Regular distribution Not in Universe Both No, not covered Not in Universe Yes, covered Statistical imputation(hot deck) Cold deck Not imputed Logical imputation(derivation) Not in Universe Job ID Suppressed Not imputed Logical imputation (derivation) Statistical imputation (hot deck) Statistical or logical imputation using previous wave data Cold deck imputation New to sample Nonmover Moved, different state Moved, same county Moved, different county within same state Moved, unable to follow (Type D) Moved, out of scope (Type C) Not in Universe Job ID None or not in universe Dollars Logical imputation(derivation) Statistical imputation(hot deck) Not imputed Cold deck Not imputed Statistical imputation(hot deck) Cold deck Logical imputation(derivation) Statistical imputation (hot deck) Logical imputation (derivation) Statistical or logical imputation using previous wave data Cold deck imputation Not imputed Logical imputation(derivation) Not imputed Cold deck Statistical imputation(hot deck) Not in Universe Yes No Logical imputation (derivation) Not imputed Cold deck imputation Statistical imputation (hot deck) Longitudinal statistical imputation (hot deck) Longitudinal logical imputation (derivation) Statistical or logical imputation using previous wave data Logical imputation(derivation) Statistical imputation(hot deck) Not imputed Cold deck imputation Statistical or logical imputation using previous wave data None or not in universe Amount in dollars Statistical imputation(hot deck) Cold deck Not imputed Logical imputation(derivation) Imputed based on previous wave data Statistical imputation (hot deck) Logical imputation (derivation) Not imputed Cold deck imputation Not in Universe Yes No Cold deck imputation Statistical or logical imputation using previous wave data Statistical imputation(hot deck) Logical imputation(derivation) Not imputed No Yes Not in Universe Person number Yes Not universe No Statistical or logical imputation using previous wave data Not imputed Cold deck imputation Longitudinal statistical imputation (hot deck) Longitudinal logical imputation (derivation) Statistical imputation (hot deck) Logical imputation (derivation) Not in Universe Other Permanent resident Not imputed Cold deck imputation Statistical imputation (hot deck) Logical imputation (derivation) Statistical or logical imputation using previous wave data Not in Universe Unable to identify person number of partner Person number of partner None or not in universe Dollars Not imputed Statistical imputation (hot deck) Cold deck imputation Logical imputation Unable to identify person number of partner Not in Universe Person number of partner Suppressed None or not in universe Amount in dollars Suppressed Hu In Rooming House Hu In Nontransient Hotel, Motel, Etc. Mobile Home or trailer with one or more permanent rooms added GQ - Quarters not HU in rooming or boarding house GQ - Student quarters in college dormitory GQ - Unit not permanent in transient hotel, motel, etc HU permanent, in transient hotel, motel, etc Hu Not Specified Above Group quarters unit not specified above Suppressed HU in House, apartment, flat Mobile home or trailer with no permanent room added GQ - Unoccupied tent or trailer site Yes Not in Universe No Yes No Not in Universe Yes Not in Universe No Not imputed Statistical imputation (hot deck) Logical imputation (derivation) Cold deck imputation Statistical or logical imputation using previous wave data Not imputed Statistical imputation(hot deck) Cold deck Logical imputation(derivation) Not imputed Cold deck imputation Statistical or logical imputation using previous wave data Statistical imputation (hot deck) Logical imputation (derivation) Dollar amount Not in Universe Number training activities lasting 1 hour or more None or not in universe Dollar amount Suppressed Not in Universe Different types of training activities ge 1 hr. Not imputed Logical imputation (derivation) Statistical imputation (hot deck) Statistical or logical imputation using previous wave data Cold deck imputation Loss of other support income Not in Universe Just got around to applying Began receiving for another dependent Became disabled Loss of job/wages/other income Other, specify Pregnancy/birth of child Just learned about program Separated or divorced from spouse/parent Separated or divorced from spouse/parent Just got around to applying Loss of other support income Other, specify Pregnancy/birth of child Loss of job/wages/other income Just learned about program Began receiving for another dependent Not in Universe Became disabled Pregnancy/childbirth Not in Universe On layoff (temporary or indefinite) Not interested in working at a job Going to school Unable to work because of chronic health condition or disablity Other Retired Temporarily unable to work because of an injury Temporarily not able to work because of an illness Taking care of children/other persons Unable to find work None or not in universe Dollars Unable to identify person number of partner Not in Universe Person number of partner Cold deck Statistical imputation(hot deck) Not imputed Logical imputation(derivation) Imputed based on previous wave data Not in Universe Unable to identify person number of partner Person number of partner Business General Academic or college preparatory Vocational Not in Universe Other Logical imputation(derivation) Statistical imputation(hot deck) Cold deck Imputed based on previous wave data Not imputed None or not in universe Amount in dollars Pregnancy/birth of child Loss of other support income Loss of job/wages/other income Became disabled Just learned about program Separated or divorced from spouse/parent Began receiving for another dependent Not in Universe Other, specify Just got around to applying Pregnancy/birth of child Began receiving for another dependent Loss of job/wages/other income Loss of other support income Just learned about program Just got around to applying Other, specify Became disabled Not in Universe Separated or divorced from spouse/parent Logical imputation (derivation) Not imputed Cold deck imputation Statistical or logical imputation using previous wave data Statistical imputation (hot deck) Separation or divorce Moved to type C household Moved outside of U.S. Deceased Institutionalized On active duty in the Armed Forces Marriage Listed in error in prior wave Not answered Became employed/unemployed Due to job change - other Other Not in Universe Year received master/professional/doctorate degree Not in Universe Divorce Widowhood Metro Residual Cold deck imputation Logical imputation (derivation) Statistical imputation (hot deck) Not imputed Statistical or logical imputation using previous wave data Statistical imputation (hot deck) Not imputed Cold deck imputation Logical imputation Cold deck Logical imputation(derivation) Not imputed Statistical imputation(hot deck) Yes No Not in Universe In the home On the job Somewhere else During service in the Armed Forces Not in Universe Pregnancy/birth of child Loss of job/wages/other income Separated or divorced from spouse/parent Loss of other support income Became disabled Began receiving for another dependent Just learned about program Other, specify Not in Universe Just got around to applying Not in Universe hours per week On the job- taught by someone outside the organization Away from the job Not in Universe On the job- taught by someone from the organization OTHER Just got around to applying Loss of job/wages/other income Became disabled Loss of other support income Just learned about program Pregnancy/birth of child Began receiving for another dependent Not in Universe Other, specify Separated or divorced from spouse/parent Not in Universe hours per week Hotel and Restaurant Management Home Economics Marketing and Distribution Auto mechanics Drafting Transportation and Materials Moving Business/Office Management Agriculture/Forestry/Horticulture Food Service Not in Universe Construction Trades Cosmetology Metal Working Refrigeration, Heating, or Air Conditioning Health Care Police/Protective Services Aviation other Computer and Information Services Electronics Vocational rehabilitation center Not in Universe High school Four-year college or university Business, technical, or vocational school Correspondence course Two-year or community college At current or previous employer's place of work Sheltered workshop Other Suppressed Dollar amount Suppressed Divorce Widowhood Not in Universe Germany Caribbean Saudi Arabia Hungary Turkey Holland Palestine Florida Sweden Ecuador Maryland Ghana Canada Montana New Jersey Elsewhere Honduras Oregon Pennsylvania China South Africa Bahamas Iraq Austria Czechoslovakia Denmark Ireland/Eire Alabama Spain England Egypt Ethiopia Kentucky Northern Ireland Peru Nebraska New Mexico Mexico Lived here since birth Oklahoma Texas Bangladesh Burma Barbados USSR Fiji Trinidad and Tobago Philippines U.S. Virgin Islands Thailand California Romania Argentina Chile Switzerland Colombia Illinois Uruguay Minnesota Czech Republic Nigeria Tennessee Utah Hong Kong Indonesia Israel Jordan Grenada Australia Russia Syria Arizona Poland Scotland Yugoslavia South America Europe Mississippi Slovakia/Slovak Republic Guatemala Morocco Afghanistan Cuba North Dakota, South Dakota, Wyoming Armenia Guam Lao Jamaica Pakistan Ukraine New Zealand Alaska Asia Norway Pacific Islands Brazil Indiana Massachusetts Venezuela Missouri Kenya North Carolina El Salvador Ohio Rhode Island Cambodia Japan Dominica Dominican Republic Latvia American Samoa Haiti Belgium France Greece Colorado Azores Delaware Bolivia Guyana Bermuda North America Nevada Belize Virginia India Korea/South Korea Maine, Vermont Lebanon Malaysia North Africa Puerto Rico Vietnam Portugal Middle East DC Georgia Hawaii Great Britain Iowa Kansas Michigan New Hampshire Nicaragua Central America Not in Universe South Carolina Washington Iran Other Africa Finland Singapore Taiwan Italy Arkansas Connecticut Idaho Louisiana New York Costa Rica Panama West Virginia Wisconsin Lithuania Scranton--Wilkes-Barre--Hazelton, PA Indianapolis, IN Boston-Worcester-Lawrence, MA-NH Baton Rouge, LA Rockford, IL El Paso, TX New Orleans, LA Mobile, AL Las Vegas, AZ Detroit-Ann Arbor-Flint, MI Santa Barbara-Santa Maria-Lompoc, CA Albequerque, NM Lakeland-Winter Haven, FL San Francisco-Oakland-San Jose, CA Sacramento-Yolo, CA Kansas City, KS Harrisburg-Lebanon-Carlisle, PA Salt Lake City-Ogden, UT Bakersfield, CA Syracuse, NY Albany-Schenectady-Troy, NY Charlotte-Gastonia-Rock Hill, NC Rochester, NY Pittsburgh, PA Knoxville, TN Lexington, KY St. Louis, IL Fort Myers-Cape Coral, FL Austin-San Marcos, TX Madison, WI Dallas-Fort Worth, TX Phoenix-Mesa, AZ Dayton-Springfield, OH Montgomery, AL Buffalo-Niagara Falls, NY Allentown-Bethlehem-Easton, PA Colorado Springs, CO Portland-Salem, OR-WA Columbus, OH Cleveland-Akron, OH Honolulu, HI San Antonio, TX Fort Wayne, IN Minneapolis-St. Paul, WI Charleston-North Charleston, SC Springfield, MA San Diego, CA Seattle-Tacoma-Bremerton, WA Pensacola, FL Fort Pierce-Port St. Lucie, FL Fresno, CA Melbourne-Titusville-Palm Bay, FL Lancaster, PA McAllen-Edinburg-Mission, TX Tampa-St. Petersburg-Clearwater, FL Greensville-Spartansburg-Anderson, SC Los Angeles-Riverside-Orange County, CA Miami-Fort Laudersale, FL Nashville, TN Lansing-East Lansing, MI Toledo, OH Stockton-Lodi, CA Washington-Baltimore, DC Greensboro--Winston-Salem--High Point, NC Not in MSA/CMSA/PMSA or not identifiable Richmond-Petersburg, VA Provo-Orem, UT Raleigh-Durham-Chapel Hill, NC Orlando, FL Sarasota-Bradenton, FL Utica-Rome, NY Memphis, MS Reading, PA Cincinnati-Hamilton, OH Fayetville, NC Chicago-Gary-Kenosha (excl.PMSA 3740), IL Charleston, WV Killeen-Temple, TX Modesto, CA Norfolk-Virginia Beach-Newport News, VA Beaumont-Port Arthur, TX Des Moines, IA Jacksonville, FL NY-NJ-LI, NJ Eugene-Springfield, OR Daytona Beach, FL Philadelphia-Wilmington-Atlantic City, NJ Grand Rapids-Muskegon-Holland, MI Atlanta, GA Johnson City-Kingsport-Bristol, TN Birmingham, AL Corpus Christi, TX West Palm Beach-Boca Raton, FL Louisville, KY Houston-Galveston-Brazoria, TX Tulsa, OK Denver-Boulder-Greeley, CO Milwuakee-Racine, WI Oklahoma City, OK Birth Job change - other From outside the U.S. Lived at this address before sample person{s} entered From an institution Other Not answered From Armed Forces barracks Due to separation or divorce Should have been listed as member in previous wave Became employed/unemployed Marriage Returned to household after missing one or more waves Persons with EFKIND 2 or 3 Person number of spouse of family ref. person Statistical or logical imputation using previous wave data Logical imputation (derivation) Statistical imputation (hot deck) Cold deck imputation Not imputed None or not in universe Dollars Not in Universe Health insurance coverage unit Not imputed Statistical imputation (hot deck) Logical imputation Cold deck imputation Cold deck imputation Logical imputation (derivation) Statistical imputation (hot deck) Statistical or logical imputation using previous wave data Not imputed Dollar amount Not in Universe Health insurance coverage unit Not in Universe Yes No Not in Universe Health insurance coverage unit Not imputed Cold deck imputation Longitudinal logical imputation (derivation) Logical imputation (derivation) Statistical imputation (hot deck) Longitudinal statistical imputation (hot deck) Statistical or logical imputation using previous wave data Suppressed Not imputed Cold deck imputation Logical imputation(derivation) Statistical imputation(hot deck) Statistical or logical imputation using previous wave data Calendar year of reference month Not In Universe Person number Statistical or logical imputation using previous wave data Not imputed Logical imputation(derivation) Statistical imputation(hot deck) Cold deck imputation Not In Universe Person number Not in Universe Yes No Cold deck Not imputed Statistical imputation(hot deck) Logical imputation(derivation) Not imputed Statistical imputation(hot deck) Logical imputation(derivation) Statistical or logical imputation using previous wave data Cold deck imputation Logical imputation(derivation) Cold deck imputation Statistical or logical imputation using previous wave data Not imputed Statistical imputation(hot deck) None or not in universe Amount in dollars None or not in universe Dollars Statistical imputation(hot deck) Cold deck imputation Statistical or logical imputation using previous wave data Not imputed Logical imputation(derivation) Cold deck imputation Statistical or logical imputation using previous wave data Statistical imputation (hot deck) Not imputed Logical imputation (derivation) Cold deck imputation Logical imputation(derivation) Not imputed Statistical imputation(hot deck) Statistical or logical imputation using previous wave data Statistical imputation(hot deck) Cold deck Not imputed Logical imputation(derivation) No Not in Universe Yes Yes No Not in Universe Statistical imputation(hot deck) Not imputed Cold deck Logical imputation(derivation) Imputed based on previous wave data No Not in Universe Yes Always lived there Respondent didn't supply valid year Not in Universe Year moved into the previous home Not in Universe Number of persons in this related subfamily Suppressed Statistical imputation (hot deck) Statistical or logical imputation using previous wave data Logical imputation (derivation) Cold deck imputation Not imputed Logical imputation Not imputed Statistical imputation (hot deck) Cold deck imputation Section 8 Some other government program Not in Universe No Not in Universe Yes Not reported Disability and retirement Disability Not in Universe Retirement Retirement and survivor Survivor Disability and Survivor Disability, retirement, and survivor No payment received Slack work or material shortage Taking care of children/other persons Temporarily not able to work full-time because of illness Full-time workweek is less than 35 hours Participated in a job sharing arrangement Not in Universe Other On vacation In school Temporarily unable to work full-time because of injury Unable to work full-time due to chronic health condition/disability Could not find full-time job Wanted to work part time Not in Universe Yes No None or not in universe Amount in dollars Logical imputation (derivation) Statistical or logical imputation using previous wave data Not imputed Cold deck imputation Statistical imputation (hot deck) No Not in Universe Yes Not imputed Cold deck imputation Logical imputation Statistical imputation (hot deck) Number of families None or not in universe Amount in dollars Not in Universe Still eligible but could/chose not to collect Eligibility ran out because of time limits Because of family changes Became ineligible because of increased income Became Ineligible because program requirements not met Other, specify Became Ineligible because program requirements not met Eligibility ran out because of time limits Other, specify Became ineligible because of increased income Because of family changes Not in Universe Still eligible but could/chose not to collect None or not in universe Dollars Statistical imputation (hot deck) Not imputed Cold deck imputation Logical imputation (derivation) Statistical or logical imputation using previous wave data Yes Not in Universe No No Not in Universe Yes Statistical imputation (hot deck) Logical imputation (derivation) Not imputed Cold deck imputation Yes Not in Universe No Yes Not in Universe No Not in Universe Yes No Statistical imputation (hot deck) Not imputed Cold deck imputation Logical imputation (derivation) Statistical or logical imputation using previous wave data Yes Not in Universe No Related Subfamily Not in Universe Statistical imputation (hot deck) Logical imputation (derivation) Cold deck imputation Not imputed Statistical or logical imputation using previous wave data Suppressed Cases exempt from sample cut Logical imputation(derivation) Not imputed Statistical imputation(hot deck) Cold deck Dollar amount Not imputed Statistical or logical imputation using previous wave data Cold deck imputation Logical imputation(derivation) Statistical imputation(hot deck) Statistical imputation(hot deck) Logical imputation(derivation) Not imputed Cold deck imputation Statistical or logical imputation using previous wave data Statistical imputation(hot deck) Logical imputation(derivation) Imputed based on previous wave data Not imputed Cold deck Statistical imputation(hot deck) Not imputed Statistical or logical imputation using previous wave data Cold deck imputation Logical imputation(derivation) Not in Universe Year of last marriage Statistical imputation (hot deck) Statistical or logical imputation using previous wave data Not imputed Cold deck imputation Logical imputation (derivation) Statistical imputation(hot deck) Imputed based on previous wave data Not imputed Cold deck Logical imputation(derivation) Statistical or logical imputation using previous wave data Not imputed Cold deck imputation Logical imputation (derivation) Statistical imputation (hot deck) Not imputed Cold deck Statistical imputation(hot deck) Logical imputation(derivation) None or not in universe Dollars Not imputed Cold deck imputation Logical imputation (derivation) Statistical imputation (hot deck) Statistical or logical imputation using previous wave data Not in Universe Yes No Not imputed Statistical imputation(hot deck) Logical imputation(derivation) Cold deck Residence this month not in sample at intrvw - no data transferred Res. this mo. in sample but nonintrvw - no program data coll Res. this mo. not in sample at intrvw - program data transferred Res. this mo. was intrvwed address - program data collected Not in Universe Medicaid coverage unit Not imputed Cold deck imputation Statistical imputation (hot deck) Logical imputation (derivation) Statistical or logical imputation using previous wave data Statistical or logical imputation using previous wave data Not imputed Statistical imputation (hot deck) Cold deck imputation Logical imputation (derivation) None or not in universe Dollars None or not in universe Dollars None or not in universe Amount in dollars Cold deck imputation Not imputed Statistical or logical imputation using previous wave data Longitudinal statistical imputation (hot deck) Longitudinal logical imputation (derivation) Statistical imputation (hot deck) Logical imputation (derivation) Yes No Not in Universe Not in Universe Yes, covered No, not covered American Indian, Aleut, or Eskimo Black Asian or Pacific Islander White Imputed based on previous wave data Cold deck Not imputed Logical imputation(derivation) Statistical imputation(hot deck) Cold deck Statistical imputation(hot deck) Not imputed Logical imputation(derivation) Imputed based on previous wave data Not imputed Cold deck imputation Logical imputation (derivation) Statistical or logical imputation using previous wave data Statistical imputation (hot deck) Art/Architecture Business/Management Communications Foreign Languages Math/Statistics Not in Universe other Law Nature Sciences(Biological and Physical) Agriculture Computer and Information Sciences Social Sciences/History Engineering Education Philosophy/Religion/Theology Liberal Arts/Humanities Medicine/Dentistry Nursing/Pharmacy/Public Health Psychology English/Literature Cold deck imputation Logical imputation (derivation) Statistical or logical imputation using previous wave data Statistical imputation (hot deck) Not imputed Logical imputation(derivation) Imputed based on previous wave data Not imputed Cold deck Statistical imputation(hot deck) Cold deck Logical imputation(derivation) Not imputed Statistical imputation(hot deck) Dollar amount Not in Universe No Yes Not imputed Statistical imputation (hot deck) Cold deck imputation Logical imputation (derivation) Statistical or logical imputation using previous wave data Statistical imputation (hot deck) Cold deck imputation Not imputed Logical imputation (derivation) Statistical or logical imputation using previous wave data Yes Not in Universe No 100+ employees Not in Universe Under 25 employees 25 to 99 employees Not in Universe Year of second marriage 100+ employees Under 25 employees 25 to 99 employees Not in Universe Statistical or logical imputation using previous wave data Cold deck imputation Not imputed Statistical imputation (hot deck) Logical imputation (derivation) Not imputed Cold deck imputation Statistical or logical imputation using previous wave data Statistical imputation (hot deck) Logical imputation (derivation) Suppressed No Yes Not in Universe None or not in universe Amount in dollars Statistical imputation (hot deck) Statistical or logical imputation using previous wave data Cold deck imputation Logical imputation (derivation) Not imputed In universe Not in Universe Reference person with related persons in household Other non-relative of reference person Parent of reference person Brother/sister of reference person Unmarried partner of reference person Roomer/boarder Grandchild of reference person Housemate/roommate Reference Person without related persons in household Other relative of reference person Spouse of reference person Child of reference person Foster child of reference person No Not in Universe Yes Yes Not in Universe No Not in Universe Number of months Statistical or logical imputation using previous wave data Not imputed Statistical imputation (hot deck) Logical imputation (derivation) Longitudinal logical imputation (derivation) Cold deck imputation Longitudinal statistical imputation (hot deck) Not imputed Statistical or logical imputation using previous wave data Statistical imputation (hot deck) Cold deck imputation Logical imputation (derivation) Not imputed Logical imputation(derivation) Imputed based on previous wave data Statistical imputation(hot deck) Cold deck Suppressed Dollar amount Logical imputation (derivation) Statistical imputation (hot deck) Statistical or logical imputation using previous wave data Cold deck imputation Not imputed Not in Universe Number of children Not in Universe Guardian not in household Person number Cold deck imputation Logical imputation (derivation) Statistical imputation (hot deck) Not imputed Statistical or logical imputation using previous wave data Not imputed Statistical or logical imputation using previous wave data Statistical imputation (hot deck) Cold deck imputation Logical imputation (derivation) Not imputed Statistical imputation (hot deck) Logical imputation Cold deck imputation Not imputed Cold deck imputation Statistical imputation(hot deck) Statistical or logical imputation using previous wave data Logical imputation(derivation) None or not in universe Amount in dollars No Not in Universe Yes Logical imputation (derivation) Statistical or logical imputation using previous wave data Not imputed Statistical imputation (hot deck) Cold deck imputation Not imputed Statistical imputation(hot deck) Logical imputation(derivation) Cold deck imputation Statistical or logical imputation using previous wave data Statistical or logical imputation using previous wave data Statistical imputation(hot deck) Cold deck imputation Not imputed Logical imputation(derivation) None or not in universe Dollars School OTHER Own Temporary Illness Not in Universe Not reported Waiting for a new job to begin Mover, no longer located in same fr's area TYPE-D, moved address unknown TYPE-C, other (specify) TYPE-A, insufficient parital TYPE-A, temporarily absent (ta) Complete partial - TYPE-Z; no futher followup TYPE-C, living in armed forces barracks TYPE-C, no Wave 1 persons remaining in household Merged with another SIPP household TYPE-C, on active duty in Armed Forces TYPE-C, no one over age 15 years in household TYPE-A, language problem Mover, new address located in same fr's area TYPE-D, moved within U.S. but outside SIPP TYPE-C, sample adjustment TYPE-C, hh deceased Completed interview TYPE-A, hh refused TYPE-A, other occupied (specify) TYPE-A, no one home (noh) TYPE-C, moved out of country TYPE-B, entire hh institut. or temp. ineligible Compl. partial- missing data; no TYPE-Z Statistical imputation (hot deck) Logical imputation (derivation) Statistical or logical imputation using previous wave data Not imputed Cold deck imputation Covered both in own name and by someone else's plan Covered by someone else's plan Not covered Covered in own name Statistical imputation (hot deck) Not imputed Cold deck imputation Logical imputation (derivation) Statistical or logical imputation using previous wave data Statistical imputation (hot deck) Not imputed Logical imputation (derivation) Cold deck imputation Statistical or logical imputation using previous wave data Not imputed Cold deck imputation Logical imputation(derivation) Statistical imputation(hot deck) Statistical or logical imputation using previous wave data Statistical imputation(hot deck) Logical imputation(derivation) Not imputed Cold deck No Not in Universe Yes Cold deck imputation Not imputed Statistical or logical imputation using previous wave data Logical imputation(derivation) Statistical imputation(hot deck) Suppressed Cold deck Longitudinal statistical imputation (hot deck) Longitudinal logical imputation (derivation) Statistical imputation(hot deck) Statistical or logical imputation using previous wave data Not imputed Logical imputation(derivation) Statistical or logical imputation using previous wave data Cold deck imputation Logical imputation (derivation) Statistical imputation (hot deck) Not imputed Cold deck imputation Statistical or logical imputation using previous wave data Statistical imputation (hot deck) Not imputed Logical imputation (derivation) Not in Universe Biological or natural child Stepchild Adopted child Not imputed Statistical imputation(hot deck) Cold deck imputation Logical imputation(derivation) Statistical or logical imputation using previous wave data Longitudinal month Yes Not in Universe No Suppressed Suppressed Suppressed More than 1 week 1 Day to 1 week Less than 1 full day Currently in training Not in Universe No Not in Universe Yes Yes No Not in Universe Cold deck imputation Statistical imputation (hot deck) Statistical or logical imputation using previous wave data Not imputed Logical imputation (derivation) Yes No Not in Universe None or not in universe Dollar amount Suppressed Dollar amount None or not in universe Amount in dollars Social Sciences/History Visual and Commercial Arts Police/Protective Services Health Sciences Education Liberal Art/Humanities Other Agriculture/Forestry/Horticulture Other Vocational/Technical Studies Engineering/Drafting Not in Universe Computer and Information Services Nature Sciences(Biological and Physical) Business/Office Management Communications None or not in universe Amount in dollars No Yes Not in Universe No Not in Universe Yes Suppressed Yes No Not in Universe No Yes Not in Universe Not imputed Longitudinal logical imputation (derivation) Longitudinal statistical imputation (hot deck) Statistical imputation (hot deck) Cold deck imputation Statistical or logical imputation using previous wave data Logical imputation (derivation) No Yes Not in Universe No Yes Not in Universe Statistical imputation (hot deck) Not imputed Cold deck imputation Logical imputation (derivation) Statistical or logical imputation using previous wave data Not in Universe Yes No Not in Universe Took course Didn't take courses Took course Not in Universe Didn't take courses Took course Not in Universe Didn't take courses Didn't take courses Took course Not in Universe Took course Not in Universe Didn't take courses Not in Universe Didn't take courses Took course Not in Universe Took course Didn't take courses Yes No Not in Universe Reduced-price breakfast Not in Universe Free breakfast Cold deck imputation Logical imputation (derivation) Not imputed Statistical or logical imputation using previous wave data Statistical imputation (hot deck) Logical imputation (derivation) Statistical imputation (hot deck) Cold deck imputation No imputation Statistical or logical imputation using previous wave data Self or family Not in Universe Current or previous employer Federal, state, or local government program OTHER Yes No Not in Universe OTHER Self or family Current or previous employer Federal, state, or local government program Not in Universe Statistical or logical imputation using previous wave data Statistical imputation (hot deck) Cold deck imputation Logical imputation (derivation) Not imputed Not imputed Statistical or logical imputation using previous wave data Cold deck imputation Logical imputation (derivation) Statistical imputation (hot deck) Not imputed Statistical or logical imputation using previous wave data Statistical imputation (hot deck) Cold deck imputation Logical imputation (derivation) None or not in universe Dollars None or not in universe Dollars In universe Not in Universe None or not in universe Amount in dollars Less than 1 full year old Number of years old Change occurred No change occurred Statistical or logical imputation using previous wave data Cold deck imputation Not imputed Logical imputation (derivation) Statistical imputation (hot deck) Cold deck imputation Logical imputation (derivation) Statistical imputation (hot deck) Not imputed Statistical or logical imputation using previous wave data Not in Universe Always lived in this state Respondent didn't supply valid year Always lived there Year moved into this state Not imputed Cold deck Logical imputation(derivation) Statistical imputation(hot deck) Cold deck imputation Not imputed Statistical imputation (hot deck) Logical imputation (derivation) Statistical or logical imputation using previous wave data Not imputed Statistical imputation(hot deck) Cold deck Logical imputation(derivation) None or not in universe Amount in dollars Not in Universe 25:99 employees Under 25 employees 100+ employees Under 25 employees 25:99 employees 100+ employees Not in Universe Not imputed Logical imputation(derivation) Statistical or logical imputation using previous wave data Statistical imputation(hot deck) Cold deck imputation Statistical imputation (hot deck) Logical imputation (derivation) Not imputed Cold deck imputation Statistical or logical imputation using previous wave data No Not in Universe Yes Not in Universe Abut the same hours Fewer hours than the last job More hours than the last job Dollar amount Cold deck imputation Statistical imputation (hot deck) Logical imputation Not imputed Statistical or logical imputation using previous wave data Logical imputation (derivation) Not imputed Statistical imputation (hot deck) Cold deck imputation Statistical or logical imputation using previous wave data Not imputed Statistical imputation (hot deck) Cold deck imputation Logical imputation (derivation) Statistical imputation (hot deck) Statistical or logical imputation using previous wave data Not imputed Cold deck imputation Logical imputation (derivation) Not in Universe Married four or more times Married thrice Married once Married twice Cold deck imputation Not imputed Logical imputation (derivation) Statistical or logical imputation using previous wave data Statistical imputation (hot deck) Dollar amount Once a week Twice a month On commission Not reported Once every two weeks Some other way Not in Universe Unpaid in a family business or farm Once a month Suppressed Not in Universe No marital path Marital path available Not imputed Statistical or logical imputation using previous wave data Cold deck imputation Logical imputation (derivation) Statistical imputation (hot deck) Not imputed Statistical imputation (hot deck) Cold deck imputation Logical imputation Not in Universe Year of first separation Not in Universe No Yes Not in Universe Number of months Statistical or logical imputation using previous wave data Statistical imputation(hot deck) Not imputed Logical imputation(derivation) Cold deck imputation Statistical imputation(hot deck) Statistical or logical imputation using previous wave data Cold deck imputation Not imputed Logical imputation(derivation) Sequence Number School/training Own injury Quit for some other reason To start other business/take job Season ended for a seasonal business Childcare problems Not in Universe Sold business or transferred ownership Retirement or old age Own illness Went bankrupt/business failed Other family/personal problems Own injury Childcare problems Other family/personal problems Sold business or transferred ownership Quit for some other reason Not in Universe School/training Went bankrupt/business failed Retirement or old age Own illness To start other business/take job Season ended for a seasonal business None or not in universe Monthly rent Dollar amount No Not in Universe Yes Not in Universe Yes No Logical imputation (derivation) Longitudinal logical imputation (derivation) Not imputed Statistical imputation (hot deck) Statistical or logical imputation using previous wave data Longitudinal statistical imputation (hot deck) Cold deck imputation Yes No Not universe None or not in universe Dollar amount Not in Universe Number of child(ren) Once every two weeks On commission Once a week Not reported Twice a month Some other way Once a month Not in Universe Unpaid in a family business or farm Logical imputation(derivation) Statistical imputation(hot deck) Cold deck imputation Statistical or logical imputation using previous wave data Not imputed Logical imputation(derivation) Statistical or logical imputation using previous wave data Not imputed Statistical imputation(hot deck) Cold deck imputation Suppressed None or not in universe Amount in dollars Yes Not in Universe No Suvivor Not in Universe No payment received Suppressed Suppressed Not in Universe Enrolled part-time Not enrolled Enrolled full-time Number of own children under 18 Not in Universe Year of first termination Rotation of data collection Not in Universe Date Medicaid Children's Health Insurance Program (CHIP) Not in Universe Other public health insurance Not in Universe Date Statistical or logical imputation using previous wave data Statistical imputation (hot deck) Longitudinal logical imputation (derivation) Cold deck Longitudinal statistical imputation (hot deck) Not imputed Logical imputation(derivation) In universe Not in Universe Not imputed Cold deck Logical imputation(derivation) Statistical imputation(hot deck) Not in Universe Age in years Cold deck Logical imputation(derivation) Statistical imputation(hot deck) Not imputed Not in Universe months Separated Never Married Married, spouse present Widowed Divorced Married, spouse absent Not in Universe months In universe Not in Universe Cold deck imputation Statistical or logical imputation using previous wave data Not imputed Statistical imputation (hot deck) Logical imputation (derivation) Not in Universe No Yes Statistical imputation (hot deck) Cold deck imputation Statistical or logical imputation using previous wave data Not imputed Logical imputation (derivation) Statistical imputation(hot deck) Logical imputation(derivation) Not imputed Cold deck imputation Statistical or logical imputation using previous wave data No Yes Not in Universe Not In Universe Person number Half sample code Not In Universe Person number Always lived there Respondent didn't supply valid year Not in Universe Year moved into the current home Statistical imputation (hot deck) Statistical or logical imputation using previous wave data Logical imputation (derivation) Cold deck imputation Not imputed Logical imputation(derivation) Not imputed Statistical imputation(hot deck) Cold deck Yes No Not in Universe Entry address ID Statistical or logical imputation using previous wave data Not imputed Cold deck imputation Logical imputation (derivation) Statistical imputation (hot deck) Not imputed Logical imputation(derivation) Statistical imputation(hot deck) Cold deck Not in Universe Yes No Over 65 Not in Universe Became disabled/blind Other, specify None or not in universe Amount in dollars Statistical imputation (hot deck) Not imputed Cold deck imputation Statistical or logical imputation using previous wave data Logical imputation (derivation) Other, specify Over 65 Not in Universe Became disabled/blind No Not in Universe Yes Suppressed Logical imputation (derivation) Statistical or logical imputation using previous wave data Not imputed Cold deck imputation Statistical imputation (hot deck) Not imputed Cold deck imputation Statistical imputation (hot deck) Logical imputation (derivation) Statistical or logical imputation using previous wave data No Not in Universe Yes None or not in universe Amount in dollars Yes, covered No, not covered Not in Universe Cold deck Not imputed Statistical imputation(hot deck) Logical imputation(derivation) Imputed based on previous wave data Statistical imputation (hot deck) Cold deck imputation Not imputed Logical imputation None or not in universe Amount in dollars Dollar amount Cold deck imputation Statistical or logical imputation using previous wave data Not imputed Statistical imputation (hot deck) Logical imputation (derivation) Yes No Not in Universe Logical imputation (derivation) Statistical imputation (hot deck) Cold deck imputation Not imputed Statistical or logical imputation using previous wave data None or not in universe Amount in dollars Statistical imputation(hot deck) Cold deck imputation Logical imputation(derivation) Statistical or logical imputation using previous wave data Not imputed Not imputed Logical imputation (derivation) Statistical or logical imputation using previous wave data Cold deck imputation Statistical imputation (hot deck) Cold deck imputation Logical imputation (derivation) Statistical or logical imputation using previous wave data Not imputed Statistical imputation (hot deck) Logical imputation(derivation) Not imputed Statistical imputation(hot deck) Statistical or logical imputation using previous wave data Cold deck imputation 1989-1990 1980-1981 1991-1992 1996-1997 1975-1977 1982-1984 1985-1986 1993-1994 1999 1978-1979 1998 1987-1988 Not in Universe 1995 1965-1968 1969-1971 Respondent didn't supply valid year 2000 Before 1952 2001 1952-1958 1959-1964 1972-1974 Not imputed Cold deck imputation Statistical imputation(hot deck) Statistical or logical imputation using previous wave data Logical imputation(derivation) Yes No Not in Universe Not imputed Statistical imputation (hot deck) Cold deck imputation Logical imputation (derivation) Statistical or logical imputation using previous wave data Statistical or logical imputation using previous wave data Not imputed Statistical imputation (hot deck) Logical imputation (derivation) Cold deck imputation No Yes Not in Universe Dollar amount Dollar amount Yes Not in Universe No Statistical or logical imputation using previous wave data Cold deck imputation Statistical imputation(hot deck) Logical imputation(derivation) Not imputed Yes No Not in Universe No Not in Universe Yes None or not in universe Dollar amount Not in Universe 1990 Yes Not in Universe No Not imputed Statistical imputation(hot deck) Logical imputation(derivation) Statistical or logical imputation using previous wave data Cold deck imputation Yes No Not in Universe Not in Universe No Yes No Not in Universe Yes Yes No Not in Universe Currently attending school Not in Universe Never attended school Year attended reg - elementary or high school Person number of family reference person Statistical imputation (hot deck) Cold deck imputation Not imputed Statistical or logical imputation using previous wave data Logical imputation (derivation) None or not in universe Amount in dollars Suppressed Suppressed Not imputed Logical imputation (derivation) Statistical or logical imputation using previous wave data Statistical imputation (hot deck) Cold deck imputation 2 weeks 3 weeks 1 week 0 weeks (that is, not absent without pay from a job) 4 weeks Not in Universe 5 weeks (if applicable) Not in Universe Yes No Not imputed Statistical imputation (hot deck) Statistical or logical imputation using previous wave data Logical imputation (derivation) Cold deck imputation None or not in universe Amount in dollars None or not in universe Amount in dollars Yes Not in Universe No Not in Universe 1964 Not in Universe Year of only/last termination Statistical or logical imputation using previous wave data Not imputed Cold deck imputation Logical imputation (derivation) Statistical imputation (hot deck) Not in Universe Suppressed Yes No Not in Universe Yes No Pregnancy/birth of child Other, specify Loss of other support income Just got around to applying Became disabled Just learned about program Began receiving for another dependent Not in Universe Separated or divorced from spouse/parent Loss of job/wages/other income Statistical imputation (hot deck) Not imputed Statistical or logical imputation using previous wave data Logical imputation (derivation) Cold deck imputation Not in Universe Began receiving for another dependent Just learned about program Other, specify Loss of other support income Separated or divorced from spouse/parent Pregnancy/birth of child Just got around to applying Loss of job/wages/other income Became disabled Imputed based on previous wave data Logical imputation(derivation) Statistical imputation(hot deck) Cold deck Not imputed Cold deck Statistical imputation(hot deck) Not imputed Logical imputation(derivation) No Not in Universe Yes Imputed based on previous wave data Cold deck Not imputed Statistical imputation(hot deck) Logical imputation(derivation) Not In Universe Person number Suppressed Cold deck Statistical imputation(hot deck) Logical imputation(derivation) Not imputed 4 weeks 1 week 0 weeks (that is, did not have a job) Not in Universe 5 weeks (if applicable) 3 weeks 2 weeks No imputation Statistical or logical imputation using previous wave data Statistical imputation (hot deck) Logical imputation (derivation) Cold deck imputation Yes No Not in Universe Logical imputation(derivation) Not imputed Cold deck imputation Statistical imputation(hot deck) Statistical or logical imputation using previous wave data Philosophy/Religion/Theology Pre-Professional Social Sciences/History Education Foreign Languages Liberal Arts/Humanities Math/Statistics Nature Sciences(Biological and Physical) Art/Architecture Agriculture/Forestry Psychology Other Business/Management Engineering Health Sciences Not in Universe Communications Computer and Information Sciences English/Literature Yes Not in Universe No Not imputed Statistical or logical imputation using previous wave data Statistical imputation(hot deck) Cold deck imputation Logical imputation(derivation) Not imputed Statistical imputation(hot deck) Cold deck Logical imputation(derivation) Statistical imputation (hot deck) Statistical or logical imputation using previous wave data Not imputed Cold deck imputation Logical imputation (derivation) Has never been able to work at a job Not in Universe Year Cold deck imputation Statistical or logical imputation using previous wave data Statistical imputation (hot deck) Not imputed Logical imputation (derivation) Yes No Not in Universe Suppressed No Not in Universe Yes Reduced-price lunch Free lunch Not in Universe Yes No Not in Universe Yes Not in Universe No Suppressed Not able to work Regularly Not in Universe Only occasionally or irregularly Yes No Not in Universe Not in Universe Year received diploma/cert. from non sec school Yes No Statistical imputation(hot deck) Statistical or logical imputation using previous wave data Not imputed Cold deck imputation Logical imputation(derivation) Yes Not in Universe No Not in Universe Yes No Not in Universe Yes No Yes No Not in Universe Yes Not in Universe No Logical imputation(derivation) Statistical or logical imputation using previous wave data Not imputed Cold deck imputation Statistical imputation(hot deck) Not in Universe Yes No Not in Universe Yes No Dollar amount Yes No Not in Universe Not in Universe No Yes Not in Universe Person number of first person in household Logical imputation(derivation) Not imputed Statistical imputation(hot deck) Cold deck Not imputed Statistical imputation (hot deck) Cold deck imputation Logical imputation (derivation) Statistical or logical imputation using previous wave data Longitudinal statistical imputation (hot deck) Longitudinal logical imputation (derivation) No Not in Universe Yes Private not for profit employee Federal government worker Private for profit employee Family worker without pay Not in Universe Local government worker State government worker Not in Universe No Yes Yes No Not in Universe None or not in universe Amount in dollars No Not in Universe Yes No Yes Not in Universe Not able to work Not in Universe FULL-TIME PART-TIME Not in Universe Yes No None or not in universe Dollars Not imputed Statistical imputation (hot deck) Cold deck imputation Logical imputation Not in Universe Private not for profit employee Local government worker Federal government worker Private for profit employee Family worker without pay State government worker Wave of data collection Person became limited before age 16 Yes No Not in Universe Not in Universe No Yes Not in Universe Yes No None or not in universe Dollars Statistical or logical imputation using previous wave data Statistical imputation (hot deck) Cold deck imputation Not imputed Logical imputation (derivation) Statistical or logical imputation using previous wave data Cold deck imputation Statistical imputation (hot deck) Not imputed Logical imputation (derivation) Logical imputation (derivation) Not imputed Cold deck imputation Statistical imputation (hot deck) Statistical or logical imputation using previous wave data Not in Universe Yes No Yes No Not in Universe Statistical imputation(hot deck) Logical imputation(derivation) Not imputed Cold deck Not in Universe Person number of first person in household Statistical imputation (hot deck) Not imputed Logical imputation Cold deck imputation Not in Universe Person number of first person in household Not in Universe Person number of first person in household Not in Universe Person number of first person in household Penalized or sanctioned for non-cooperation Eligibility ran out because of time limits Didn't want to use up time limit Got a job or earnings increased Family situation changed Not in Universe Chose not to participate Other, specify Others in household earned enough moneh Not in Universe Person number of first person in household Penalized or sanctioned for non-cooperation Not in Universe Eligibility ran out because of time limits Chose not to participate Other, specify Family situation changed Others in household earned enough moneh Got a job or earnings increased Didn't want to use up time limit Not in Universe Person number of first person in household Other, specify Penalized or sanctioned for non-cooperation Not in Universe Eligibility ran out because of time limits Chose not to participate Family situation changed Didn't want to use up time limit Got a job or earnings increased Others in household earned enough moneh Not in Universe Person number of first person in household Not In Universe Person number Statistical imputation(hot deck) Logical imputation(derivation) Cold deck Not imputed No Not in Universe Yes Not In Universe Person number Not imputed Statistical imputation(hot deck) Logical imputation(derivation) Statistical or logical imputation using previous wave data Cold deck imputation Statistical imputation(hot deck) Statistical or logical imputation using previous wave data Logical imputation(derivation) Cold deck imputation Not imputed Not In Universe Person number Not in Universe Person number of first person in household Not in Universe Person number of first person in household Number of related subfamilies Not In Universe Person number Not in Universe Person number of first person in household Not imputed Cold deck imputation Logical imputation(derivation) Statistical imputation(hot deck) Statistical or logical imputation using previous wave data Suvivor No payment received Retirement Retirement and survivor Not in Universe Not in Universe Year first attended college, univ, etc. None or not in universe Amount in dollars Logical imputation (derivation) Not imputed Statistical or logical imputation using previous wave data Statistical imputation (hot deck) Cold deck imputation Not in Universe Yes No Not in Universe No Yes Not in Universe Person number of related subfamily reference person Not in Universe Person number of first person in household Suppressed Not in Universe Person number of first person in household Yes, Able to Do Same Kind of Work Not in Universe No, Not Able to Do Same Kind of Work Did not work before limitation began Not in Universe Person number of first person in household Not in Universe Person number of first person in household Not in Universe Person number of first person in household Public administration Agriculture, forestry and fisheries Manufacturing: durable goods Professional and related services Not in Universe Wholesale trade: nondurable goods Mining Transportation, communications and other public utilities Wholesale Trade: durable goods Finance, insurance and real estate Business and repair services Personal services Manufacturing: nondurable goods Entertainment and recreation services Construction Retail trade Not in Universe Person number of first person in household Not imputed Statistical imputation (hot deck) Longitudinal statistical imputation (hot deck) Cold deck imputation Logical imputation (derivation) Statistical or logical imputation using previous wave data Longitudinal logical imputation (derivation) Entertainment and recreation services Professional and related services Public administration Wholesale Trade: durable goods Wholesale trade: nondurable goods Manufacturing: durable goods Personal services Not in Universe Transportation, communications and other public utilities Business and repair services Agriculture, forestry and fisheries Construction Retail trade Finance, insurance and real estate Mining Manufacturing: nondurable goods Not imputed Logical imputation(derivation) Cold deck Statistical imputation(hot deck) Suppressed Suppressed Suppressed Not in Universe Person number of first person in household Not in Universe Person number of first person in household Not in Universe Person number of first person in household Not in Universe Person number of first person in household Pregnancy/birth of child Just learned about program Other, specify Began receiving for another dependent Separated or divorced from spouse/parent Not in Universe Loss of other support income Loss of job/wages/other income Just got around to applying Became disabled No Employer went out of business Yes Not in Universe Self-employed Not imputed Statistical imputation(hot deck) Cold deck Logical imputation(derivation) Logical imputation (derivation) Not imputed Statistical or logical imputation using previous wave data Statistical imputation (hot deck) Cold deck imputation Just got around to applying Began receiving for another dependent Loss of job/wages/other income Became disabled Not in Universe Just learned about program Pregnancy/birth of child Separated or divorced from spouse/parent Loss of other support income Other, specify None or not in universe Dollars Suppressed Dollar amount Not in Universe Person number of first person in household Not in Universe Person number of first person in household Female Male Not in Universe Person number of first person in household Not imputed Statistical imputation(hot deck) Logical imputation(derivation) Cold deck Not in Universe Person number of first person in household Statistical or logical imputation using previous wave data Not imputed Longitudinal logical imputation (derivation) Statistical imputation (hot deck) Logical imputation (derivation) Cold deck imputation Longitudinal statistical imputation (hot deck) Not In Universe Person number Not in Universe Person number of first person in household No imputation Logical imputation (derivation) Statistical or logical imputation using previous wave data Statistical imputation (hot deck) Cold deck imputation Not In Universe Person number Logical imputation (derivation) Statistical or logical imputation using previous wave data Statistical imputation (hot deck) Cold deck imputation Not imputed Not In Universe Person number Not in Universe Person number of first person in household Not in Universe Person number of first person in household Not in Universe Person number of first person in household Did not attend high school Not in Universe Public Private No father in household Person number Not in Universe Person number of first person in household Not in Universe Date Not in Universe Date First Reference month Third Reference month Second Reference month Fourth Reference month None or not in universe Dollars Not In Universe Reference person of a related or unrelated subfamily Spouse of reference person of a related or unrelated subfamily Child (under 18) of reference person of related or unrelated subfamily None or not in universe Dollars None or not in universe Amount in dollars Primary Individual Primary family Unrelated subfamily Secondary individual (not a family member) Related subfamily Statistical imputation(hot deck) Cold deck Logical imputation(derivation) Not imputed Statistical imputation(hot deck) Logical imputation(derivation) Not imputed Cold deck Logical imputation(derivation) Not imputed Statistical imputation(hot deck) Cold deck Family situation changed Didn't want to use up time limit Chose not to participate Eligibility ran out because of time limits Others in household earned enough moneh Got a job or earnings increased Penalized or sanctioned for non-cooperation Not in Universe Other, specify Not in Universe Military related (CHAMPUS,CHAMPVA,Military/VA health care), or others Employer or union provided OTHER Privately purchased Not imputed Statistical imputation (hot deck) Cold deck imputation Logical imputation (derivation) Statistical or logical imputation using previous wave data Yes No Not in Universe Not imputed Logical imputation (derivation) Statistical imputation (hot deck) Cold deck imputation Statistical or logical imputation using previous wave data Penalized or sanctioned for non-cooperation Didn't want to use up time limit Other, specify Got a job or earnings increased Not in Universe Eligibility ran out because of time limits Chose not to participate Others in household earned enough moneh Family situation changed Rented Occupied without payment of cash rent Owned or being bought by ... or someone in ...'s household Logical imputation (derivation) Statistical imputation (hot deck) Not imputed Cold deck imputation Statistical or logical imputation using previous wave data Penalized or sanctioned for non-cooperation Eligibility ran out because of time limits Family situation changed Not in Universe Chose not to participate Others in household earned enough moneh Didn't want to use up time limit Other, specify Got a job or earnings increased Not imputed Logical imputation (derivation) Statistical or logical imputation using previous wave data Cold deck imputation Statistical imputation (hot deck) Not imputed Statistical imputation (hot deck) Logical imputation (derivation) Cold deck imputation Statistical or logical imputation using previous wave data Statistical or logical imputation using previous wave data Statistical imputation(hot deck) Not imputed Cold deck imputation Logical imputation(derivation) Statistical imputation (hot deck) Logical imputation (derivation) Not imputed Cold deck imputation Statistical or logical imputation using previous wave data Not imputed Cold deck Logical imputation(derivation) Statistical imputation(hot deck) Statistical imputation(hot deck) Not imputed Statistical or logical imputation using previous wave data Logical imputation(derivation) Cold deck imputation None or not in universe Dollars Not imputed Cold deck imputation Logical imputation (derivation) Statistical imputation (hot deck) Statistical or logical imputation using previous wave data Logical imputation (derivation) Not imputed Cold deck imputation Statistical imputation (hot deck) Statistical or logical imputation using previous wave data No Yes Not in Universe Not in Universe Employer or union provided Privately purchased Military related (CHAMPUS,CHAMPVA,Military/VA health care), or others OTHER Spouse not in household or person not married Person number Cold deck imputation Statistical or logical imputation using previous wave data Logical imputation (derivation) Statistical imputation (hot deck) Not imputed Persons in family Logical imputation(derivation) Cold deck Statistical imputation(hot deck) Not imputed Logical imputation(derivation) Cold deck Statistical imputation(hot deck) Not imputed Yes No Not in Universe Yes No Not in Universe Household Address ID No Not in Universe Yes Variety stores (533) Aircraft and parts (372) Wood buildings and mobile homes (245) Ship and boat building and repairing (373) Miscellaneous wood products (244, 249) Bowling centers (793) Cycles and miscellaneous transportation equipment (375, 379) Knitting mills (225) Environmental quality and housing programs administration(95) Oil and gas extraction (13) Not spec manufacturing industries Miscellaneous fabricated textile products (239) Paperboard containers and boxes (265) Soaps and cosmetics (284) Gasoline service stations (554) Miscellaneous vehicle dealers (555, 556, 557, 559) Lumber and construction materials (503) Industrial and miscellaneous chemicals (281, 286, 289) Social services, n.e.c. (832, 839) Automotive repair and related services (753, 7549) Stores, household appliance (572) Electrical goods (506) Miscellaneous repair services (763, 764, 7692, 7699) Railroads (40) Bus service and urban transit (41, except 412) Laundry, cleaning, and garment services (721 except part 7219) Beauty shops (723) Trucking service (421, 423) Vending machine operators (5962) Direct selling establishments (5963) Farm-product raw materials (515) Metalworking machinery (354) Computers and related equipment (3571-3577) Other rubber products, and plastics footwear and belting (302-306) Household appliances (363) Executive and legislative offices (911-913) Not specified utilities Theaters and motion pictures (781-783, 792) Glass and glass products (321-323) National security and international affairs (97) Coal mining (12) Toys, amusement, and sporting goods (394) Stores, dairy products (545) Metal forgings and stampings (346) Ordnance (348) Colleges and universities (822) Drugs (283) Stores, Auto and home supply (553) Family child care homes (part 835) Museums, art galleries, and zoos (84) Religious organizations (866) Engineering, architectural, and surveying services (871) Eating and drinking places (58) Accounting, auditing, and bookkeeping services (872) Scrap and waste materials (5093) U.S. Postal Service (43) Jewelry stores (5944) Funeral service and crematories (726) Shoe repair shops (725) Misc fabricated metal products (341, 343, 347, 349) Catalog and mail order houses (5961) Pipe lines, except natural gas (46) Services incidental to transportation (47) Construction and material handling machines (353) Retail florists (5992) Farm supplies (5191) Telephone communications (481) Gas and steam supply systems (492, 496) Miscellaneous plastics products (308) Canned, frozen and preserved fruits and vegetables (203) Sanitary services (495) Logging (241) Justice, public order, and safety (92) Veterinary services (074) Beverage industries (208) Structural clay products (325) Forestry (08) Pottery and related products (326) Miscellaneous nonmetallic mineral and stone products (328, 329) Dentists offices and clinics (802) Credit agencies, n.e.c. (61) Blast furnaces, steelworks, rolling and finishing mills (331) Miscellaneous textile mill products (229) Iron and steel foundries (332) Insurance (63, 64) Pulp, paper, and paperboard mills (261-263) Legal services (81) Grocery stores (541) CONSTRUCTION (15, 16, 17) Vocational schools (824) Detective and protective services (7381, 7382) Business services, n.e.c. (732, 733, 735, 7383-7389) Stores, apparel and accessory, except shoe (56, except 566) Agricultural chemicals (287) Professional and commercial equipment and supplies (504) Electrical repair shops (762, 7694) Taxicab service (412) Management and public relations services (874) Footwear, except rubber and plastic (313, 314) Electrical machinery, equipment, and supplies, n.e.c. (361, 362, 364, 367, 369) Mobile home dealers (527) Water supply and irrigation (494, 497) Motor vehicles and motor vehicle equipment (371) Medical, dental, and optical instruments and supplies (3827, 384, 385) Photographic equipment and supplies (386) Watches, clocks, and clockwork operated devices (387) Yarn, thread, and fabric mills (221-224, 228) Optometrists offices and clinics (8042) Advertising (731) Screw machine products (345) Retail bakeries (546) Personnel supply services (736) Libraries (823) Computer and data processing services (737) Educational services, n.e.c. (829) Child day care services (part 835) Motor vehicles and equipment (501) Persons whose labor force status is unemployed and whose last job was Armed Forces Shoe stores (566) Metals and minerals, except petroleum (505) Liquor stores (592) Stores, sporting goods, bicycles, and hobby (5941, 5945, 5946) Drugs, chemicals and allied products (512, 516) Not specified metal industries Groceries and related products (514) Petroleum products (517) Radio and television broadcasting and cable (483, 484) Stores, Miscellaneous retail (593, 5948, 5993-5995, 5999) Not specified wholesale trade Meat products (201) Agricultural Production, livestock (02) Guided missiles, space vehicles, and parts (376) Public finance, taxation, and monetary policy (93) Scientific and controlling instruments (381, 382 except 3827) Tobacco manufactures (21) Agricultural services, n.e.c. (071, 072, 075, 076) Apparel and accessories, except knit (231-238) Health practitioners offices and clinics, n.e.c. (8043, 8049) HOSPITALS (806) Cutlery, handtools, and general hardware (342) Health services, n.e.c. (807, 808, 809) Newspaper publishing and printing (271) Automotive rental and leasing, w/out drivers (751) Automotive parking and carwashes (752, 7542) Stores, radio, TV, and computer (5731, 5734) Membership organizations, n.e.c. (861, 862, 864, 865, 869) Music stores (5735, 5736) Hotels and motels (701) Research, development, and testing services (873) Warehousing and storage (422) Barber shops (724) Air transportation (45) Dressmaking shops (part 7219) Fuel dealers (598) Leather tanning and finishing (311) Radio, TV, and communication equipment (365, 366) General government, n.e.c. (919) Grain mill products (204) Video tape rental (784) Human resources programs administration(94) Physicians offices and clinics (801, 803) Dyeing and finishing textiles, except wool and knit goods (226) Primary aluminum industries (3334, part 334, 3353-3355, 3363, 3365) Nonmetallic mining and quarrying, except fuel (14) Other primary metal industries (3331, 3339,part 334, 3351, 3356-57, 3364, 3366, 3369, 339) Stores, misc general merchandise (539) Elementary and secondary schools (821) Food stores, n.e.c. (542, 543, 544, 549) Motor vehicle dealers (551, 552) Plastics, synthetics, and resins (282) Job training and vocational rehabilitation services (833) Paints, varnishes, and related products (285) Residential care facilities, without nursing (836) Stores, furniture and home furnishings (571) Labor unions (863) PRIVATE HOUSEHOLDS (88) Hardware, plumbing and heating supplies (507) Miscellaneous professional and related services (899) Paper and paper products (511) Gift, novelty, and souvenir shops (5947) Sewing, needlework and piece goods stores (5949) Apparel, fabrics, and notions (513) Not specified retail trade Not specified electrical machinery, equipment, and supplies Sawmills, planing mills, and millwork (242, 243) Bakery products (205) Sugar and confectionery products (206) Railroad locomotives and equipment (374) Furniture and fixtures (25) Landscape and horticultural services (078) Cement, concrete, gypsum, and plaster products (324, 327) Miscellaneous entertainment and recreation services (791, 794, 799) Economic programs administration(96) Carpets and rugs (227) Banking (60 except 603 and 606) Savings institutions, including credit unions (603, 606) Metal mining (10) Security, commodity brokerage, and investment companies (62, 67) Nursing and personal care facilities (805) Miscellaneous paper and pulp products (267) Services to dwellings and other buildings (734) Printing, publishing, and allied industries, except newspapers (272-279) Furniture and home furnishings (502) Lodging places, except hotels and motels (702, 703, 704) Machinery, equipment, and supplies (508) Miscellaneous wholesale, durable goods (509 except 5093) Water transportation (44) Engines and turbines (351) Farm machinery and equipment (352) Petroleum refining (291) Telegraph and miscellaneous communications services (482, 489) Miscellaneous petroleum and coal products (295, 299) Tires and inner tubes (301) Lumber and building material retailing (521, 523) Stores, Retail nurseries and garden (526) Dairy products (202) Department stores (531) Agricultural production, crops (01) Miscellaneous food preparations and kindred products (207, 209) Not specified food industries Fishing, hunting, and trapping (09) Chiropractors offices and clinics (8041) Miscellaneous manufacturing industries (39 except 394) Real estate, including real estate-insurance offices (65) Fabricated structural metal products (344) Drug stores (591) Stores, Book and stationery (5942, 5943) Misc personal services (722, 729) Not in Universe Alcoholic beverages (518) Misc wholesale, nondurable goods (5192-5199) Office and accounting machines (3578, 3579) Electric light and power (491) Machinery, except electrical, n.e.c. (355, 356, 358, 359) Electric and gas, and other combinations (493) Not specified machinery Hardware stores (525) Leather products, except footwear (315-317, 319) Not imputed Statistical imputation (hot deck) Statistical or logical imputation using previous wave data Cold deck imputation Logical imputation (derivation) Cold deck imputation Statistical imputation (hot deck) Logical imputation (derivation) Not imputed Statistical or logical imputation using previous wave data No Yes None or not in universe Dollar amount Cold deck imputation Not imputed Statistical imputation (hot deck) Statistical or logical imputation using previous wave data Logical imputation (derivation) Statistical or logical imputation using previous wave data Logical imputation (derivation) Cold deck imputation Not imputed Statistical imputation (hot deck) Not imputed Statistical imputation(hot deck) Cold deck Logical imputation(derivation) Cold deck Not imputed Statistical imputation(hot deck) Logical imputation(derivation) Not imputed Statistical or logical imputation using previous wave data Statistical imputation (hot deck) Logical imputation (derivation) Cold deck imputation Outside U.S. Same state, different county, as current home Not in Universe Always lived here Same state, same county, as current home Different State Cold deck imputation Statistical or logical imputation using previous wave data Logical imputation (derivation) Statistical imputation (hot deck) Not imputed Number of recipients Not imputed Statistical or logical imputation using previous wave data Logical imputation (derivation) Statistical imputation (hot deck) Cold deck imputation Cold deck imputation Statistical imputation (hot deck) Logical imputation (derivation) Statistical or logical imputation using previous wave data Not imputed Yes No Logical imputation (derivation) Statistical imputation (hot deck) Statistical or logical imputation using previous wave data Not imputed Cold deck imputation Variety stores (533) Sawmills, planing mills, and millwork (242, 243) Beverage industries (208) Miscellaneous food preparations and kindred products (207, 209) Landscape and horticultural services (078) Scientific and controlling instruments (381, 382 except 3827) Structural clay products (325) Watches, clocks, and clockwork operated devices (387) Optometrists offices and clinics (8042) Metal mining (10) Toys, amusement, and sporting goods (394) Health practitioners offices and clinics, n.e.c. (8043, 8049) Stores, misc general merchandise (539) Services to dwellings and other buildings (734) CONSTRUCTION (15, 16, 17) Ordnance (348) Colleges and universities (822) Food stores, n.e.c. (542, 543, 544, 549) Drugs (283) Job training and vocational rehabilitation services (833) Business services, n.e.c. (732, 733, 735, 7383-7389) Membership organizations, n.e.c. (861, 862, 864, 865, 869) PRIVATE HOUSEHOLDS (88) Lodging places, except hotels and motels (702, 703, 704) Research, development, and testing services (873) Laundry, cleaning, and garment services (721 except part 7219) Management and public relations services (874) Stores, sporting goods, bicycles, and hobby (5941, 5945, 5946) Warehousing and storage (422) Petroleum products (517) Retail florists (5992) Radio and television broadcasting and cable (483, 484) Farm supplies (5191) Metalworking machinery (354) Electric light and power (491) Electric and gas, and other combinations (493) Hardware stores (525) Leather tanning and finishing (311) General government, n.e.c. (919) Mobile home dealers (527) Aircraft and parts (372) Agricultural Production, livestock (02) Guided missiles, space vehicles, and parts (376) Environmental quality and housing programs administration(95) National security and international affairs (97) Fishing, hunting, and trapping (09) Photographic equipment and supplies (386) Dentists offices and clinics (802) Retail bakeries (546) Personnel supply services (736) Stores, Auto and home supply (553) Lumber and construction materials (503) Persons whose labor force status is unemployed and whose last job was Armed Forces Social services, n.e.c. (832, 839) Automotive repair and rel. services (753, 7549) Railroads (40) Hardware, plumbing and heating supplies (507) Drug stores (591) Computers and related equipment (3571-3577) Miscellaneous plastics products (308) Stores, Retail nurseries and garden (526) Leather products, except footwear (315-317, 319) Executive and legislative offices (911-913) Water supply and irrigation (494, 497) Motor vehicles and motor vehicle equipment (371) Sugar and confectionery products (206) Agricultural production, crops (01) Ship and boat building and repairing (373) Video tape rental (784) Bowling centers (793) Tobacco manufactures (21) Knitting mills (225) Physicians offices and clinics (801, 803) Dyeing and finishing textiles, except wool and knit goods (226) Miscellaneous textile mill products (229) Apparel and accessories, except knit (231-238) Real estate, including real estate-insurance offices (65) Health services, n.e.c. (807, 808, 809) Stores, dairy products (545) Metal forgings and stampings (346) Computer and data processing services (737) Plastics, synthetics, and resins (282) Industrial and miscellaneous chemicals (281, 286, 289) Professional and commercial equipment and supplies (504) Stores, household appliance (572) Stores, radio, TV, and computer (5731, 5734) Music stores (5735, 5736) Engineering, architectural, and surveying services (871) Eating and drinking places (58) Bus service and urban transit (41, except 412) Liquor stores (592) Scrap and waste materials (5093) Miscellaneous wholesale, durable goods (509 except 5093) Barber shops (724) Paper and paper products (511) Drugs, chemicals and allied products (512, 516) Pipe lines, except natural gas (46) Vending machine operators (5962) Direct selling establishments (5963) Household appliances (363) Department stores (531) Miscellaneous entertainment and recreation services (791, 794, 799) Savings institutions, including credit unions (603, 606) Oil and gas extraction (13) Iron and steel foundries (332) Security, commodity brokerage, and investment companies (62, 67) Nursing and personal care facilities (805) Vocational schools (824) Libraries (823) Automotive rental and leasing, w/out drivers (751) Agricultural chemicals (287) Residential care facilities, without nursing (836) Miscellaneous repair services (763, 764, 7692, 7699) Sewing, needlework and piece goods stores (5949) Telephone communications (481) Office and accounting machines (3578, 3579) Not specified retail trade Radio, TV, and communication equipment (365, 366) Meat products (201) Footwear, except rubber and plastic (313, 314) Sanitary services (495) Justice, public order, and safety (92) Human resources programs administration(94) Not spec manufacturing industries Primary aluminum industries (3334, part 334, 3353-3355, 3363, 3365) Nonmetallic mining and quarrying, except fuel (14) Pulp, paper, and paperboard mills (261-263) Miscellaneous paper and pulp products (267) Paperboard containers and boxes (265) Furniture and home furnishings (502) Stores, apparel and accessory, except shoe (56, except 566) Paints, varnishes, and related products (285) Taxicab service (412) Machinery, equipment, and supplies (508) Stores, Book and stationery (5942, 5943) Jewelry stores (5944) Shoe repair shops (725) Water transportation (44) Air transportation (45) Apparel, fabrics, and notions (513) Groceries and related products (514) Fuel dealers (598) Not in Universe Alcoholic beverages (518) Miscellaneous petroleum and coal products (295, 299) Tires and inner tubes (301) Lumber and building material retailing (521, 523) Dairy products (202) Veterinary services (074) Miscellaneous wood products (244, 249) Furniture and fixtures (25) Public finance, taxation, and monetary policy (93) Glass and glass products (321-323) Pottery and related products (326) Miscellaneous nonmetallic mineral and stone products (328, 329) Banking (60 except 603 and 606) Blast furnaces, steelworks, rolling and finishing mills (331) Miscellaneous manufacturing industries (39 except 394) Insurance (63, 64) Cutlery, handtools, and general hardware (342) Fabricated structural metal products (344) Advertising (731) Elementary and secondary schools (821) Grocery stores (541) Screw machine products (345) Newspaper publishing and printing (271) Detective and protective services (7381, 7382) Family child care homes (part 835) Electrical repair shops (762, 7694) Beauty shops (723) Miscellaneous professional and related services (899) Trucking service (421, 423) Funeral service and crematories (726) Misc fabricated metal products (341, 343, 347, 349) Catalog and mail order houses (5961) Not specified metal industries Construction and material handling machines (353) Machinery, except electrical, n.e.c. (355, 356, 358, 359) Canned, frozen and preserved fruits and vegetables (203) Logging (241) Bakery products (205) Railroad locomotives and equipment (374) Not specified food industries Theaters and motion pictures (781-783, 792) Cycles and miscellaneous transportation equipment (375, 379) Cement, concrete, gypsum, and plaster products (324, 327) Agricultural services, n.e.c. (071, 072, 075, 076) Carpets and rugs (227) Yarn, thread, and fabric mills (221-224, 228) Miscellaneous fabricated textile products (239) HOSPITALS (806) Printing, publishing, and allied industries, except newspapers (272-279) Soaps and cosmetics (284) Educational services, n.e.c. (829) Miscellaneous vehicle dealers (555, 556, 557, 559) Automotive parking and carwashes (752, 7542) Shoe stores (566) Museums, art galleries, and zoos (84) Metals and minerals, except petroleum (505) Electrical goods (506) Religious organizations (866) Hotels and motels (701) Accounting, auditing, and bookkeeping services (872) U.S. Postal Service (43) Dressmaking shops (part 7219) Misc personal services (722, 729) Farm machinery and equipment (352) Stores, Miscellaneous retail (593, 5948, 5993-5995, 5999) Misc wholesale, nondurable goods (5192-5199) Not specified wholesale trade Gas and steam supply systems (492, 496) Not specified machinery Electrical machinery, equipment, and supplies, n.e.c. (361, 362, 364, 367, 369) Not specified electrical machinery, equipment, and supplies Not specified utilities Grain mill products (204) Wood buildings and mobile homes (245) Medical, dental, and optical instruments and supplies (3827, 384, 385) Economic programs administration(96) Forestry (08) Chiropractors offices and clinics (8041) Credit agencies, n.e.c. (61) Coal mining (12) Other primary metal industries (3331, 3339,part 334, 3351, 3356-57, 3364, 3366, 3369, 339) Legal services (81) Motor vehicle dealers (551, 552) Child day care services (part 835) Motor vehicles and equipment (501) Gasoline service stations (554) Stores, furniture and home furnishings (571) Labor unions (863) Gift, novelty, and souvenir shops (5947) Farm-product raw materials (515) Engines and turbines (351) Services incidental to transportation (47) Petroleum refining (291) Telegraph and miscellaneous communications services (482, 489) Other rubber products, and plastics footwear and belting (302-306) Logical imputation (derivation) Cold deck imputation Not imputed Statistical or logical imputation using previous wave data Statistical imputation (hot deck) Not in Universe Year of second separation Logical imputation(derivation) Statistical imputation(hot deck) Statistical or logical imputation using previous wave data Not imputed Cold deck imputation Dollar amount Not in Universe 1991 Statistical imputation(hot deck) Statistical or logical imputation using previous wave data Logical imputation(derivation) Cold deck imputation Not imputed Change occurred No change occurred Not In Universe No Yes Not in Universe Not in Universe Under 25 employees 25 to 99 employees 100+ employees 100+ employees Under 25 employees 25 to 99 employees Not in Universe Statistical imputation (hot deck) Cold deck imputation Statistical or logical imputation using previous wave data Not imputed Logical imputation (derivation) Cold deck imputation Logical imputation (derivation) Not imputed Statistical imputation (hot deck) Statistical or logical imputation using previous wave data Loss of other support income Began receiving for another dependent Separated or divorced from spouse/parent Became disabled Not in Universe Just got around to applying Pregnancy/birth of child Loss of job/wages/other income Just learned about program Other, specify Logical imputation (derivation) Not imputed Cold deck imputation Statistical or logical imputation using previous wave data Statistical imputation (hot deck) Statistical or logical imputation using previous wave data Statistical imputation (hot deck) Cold deck imputation Logical imputation (derivation) Not imputed Dominican Republic Polish Canadian Mexican African-American or Afro-American Slovak Welsh English Hungarian Mexican-American American Indian, Eskimo, or Aleut Cuban Asian Scotch-Irish South American Arab Other European Central American Other Hispanic Scandinavian Pacific Islander Scottish French Chicano Puerto Rican Russian West Indian Another group not listed Dutch French-Canadian German Irish Italian American No Yes Not in Universe Not imputed Statistical or logical imputation using previous wave data Statistical imputation (hot deck) Logical imputation (derivation) Cold deck imputation Not in Universe Yes No None or not in universe Amount in dollars Logical imputation (derivation) Not imputed Statistical or logical imputation using previous wave data Statistical imputation (hot deck) Cold deck imputation Not imputed Logical imputation (derivation) Statistical or logical imputation using previous wave data Cold deck imputation Statistical imputation (hot deck) Logical imputation (derivation) Cold deck imputation Statistical or logical imputation using previous wave data Not imputed Statistical imputation (hot deck) Statistical or logical imputation using previous wave data Not imputed Statistical imputation (hot deck) Cold deck imputation Logical imputation (derivation) Pregnancy/birth of child Began receiving for another dependent Separated or divorced from spouse/parent Loss of job/wages/other income Just got around to applying Became disabled Loss of other support income Other, specify Just learned about program Not in Universe Not in Universe Number of months Not imputed Cold deck imputation Logical imputation (derivation) Statistical imputation (hot deck) Statistical or logical imputation using previous wave data None or not in universe Amount in dollars Yes Not in Universe No Not in Universe Yes No Logical imputation (derivation) Not imputed Cold deck imputation Statistical or logical imputation using previous wave data Statistical imputation (hot deck) Cold deck imputation Logical imputation(derivation) Statistical imputation(hot deck) Not imputed Statistical or logical imputation using previous wave data Dollar amount Dollar amount Statistical or logical imputation using previous wave data Not imputed Statistical imputation (hot deck) Cold deck imputation Logical imputation (derivation) Yes No Not in Universe 5th Or 6th Grade Professional School Degree (For example: MD,DDS,DVM,LLB,JD) 7th Or 8th Grade Diploma or certificate from a voc, tech, trade or bus school beyond high 1st, 2nd, 3rd, or 4th grade Bachelor's degree (For example: BA, BS) Not in Universe 12th grade, no diploma 11th Grade Associate Degree in college - Academic program 9th Grade High school graduate - high school diploma or equivalent(for ex: GED) Associate degree in college - Occupation/Vocational program Some College But No Degree Less Than 1st Grade Master's degree (For example: MA, MS, MEng, MSW, MBA) 10th Grade Doctorate degree (For example: PhD, EdD) administrators, protective services (1131) Marine engineers (8244) Misc metal and plastic processing machine operators (7349, 7549) Sawing machine operators (7433, 7633) Nailing and tacking machine operators (7636) Printing press operators (7443, 7643) Explosives workers (653) Misc material moving equipment operators (8319) Garbage collectors (8722) Farm equipment mechanics (6118) Industrial machinery repairers (613) Machinist apprentices (part 6813) Launderers and ironers (503) Cooks, private household (504) Supervisors, firefighting and fire prevention occupations(5111) Supervisors, general office (4511, 4513, 4514, 4516, 4519, 4529) Guards and police, except public service (5144) Upholsterers (6853) Supervisors, distribution, scheduling, and adjusting clerks (4522, 4524-4528) Secretaries (4622) Supervisors, painters, paperhangers, and plasterers (6315) Supervisors, plumbers, pipefitters, and steamfitters (6316) Hotel clerks (4643) Receptionists (4645) Electrical/electronic equipment assemblers (6867) Msc precision workers, n.e.c. (6869) Bakers (6872) Carpenters (part 6422) Supervisors, cleaning and building service workers (5241) Janitors and cleaners (5244) Electrical power installers and repairers (6433) Hairdressers and cosmetologists (5253) Guides (5255) Mail preparing and paper handling machine operators (4723) Therapists, n.e.c. (3039) managers, properties and real estate (1353) Marine life cultivation workers (5618) Traffic, shipping, and receiving clerks (4753) Sociology teachers (2224) underwriters (1414) personnel, training, and labor relations specialists (143) buyers, wholesale and retail trade except farm products (1442) Forestry workers, except logging (572) Securities and financial services sales occupations (4124) Business, commerce, and marketing teachers (2233) Bill and account collectors (4786) Hunters and trappers (584) Art, drama, and music teachers (2235) construction inspectors (1472) English teachers (2238) Sales workers, shoes (4351) Sales workers, furniture and home furnishings (4348) Administrative support occupations, n.e.c. (4787, 4799) architects (161) Sales workers, other commodities (4345, 4347, 4354, 4356, 4359, 4362, 4369) Sociologists (1916) Urban planners (192) Forestry and conservation scientists (1852) Technical writers (398) Artists, performers, and related workers, n.e.c. (328, 329) chief executives and general administrators, public administration (112) financial managers (122) Operators, lathe and turning machine (7512) Railroad brake, signal, and switch operators (8233) Milling and planing machine operators (7313, 7513) Operating engineers (8312) Hoist and winch operators (8314) Pressing machine operators (7657) Miscellaneous textile machine operators (7459, 7659) Aircraft engine mechanics (6113) Stock handlers and baggers (8724) Folding machine operators (7474, 7674) Vehicle washers and equipment cleaners (875) Miscellaneous electrical and electronic equipment repairers (6152, 6159) Misc precision metal workers (6829) Solderers and brazers (7333, 7533, 7717) Dressmakers (part 6852, part 7752) Supervisors, financial records processing (4521) Specified mechanics and repairers, n.e.c. (6177, 6179) Hand molders and shapers, except jewelers (6861) Bartenders (5212) Kitchen workers, food preparation (5217) Health aides, except nursing (5233) Correspondence clerks (4663) Radiologic technicians (365) Order clerks (4664) Elevator operators (5245) Pest control occupations (5246) Mechanical engineering technicians (3713) Billing clerks (4715) Chemical technicians (3831) Family child care providers (part 5264) Early childhood teacher's assistants (part 5264) Air traffic controllers (392) Telephone operators (4732) Mail clerks, except postal service (4744) Supervisors, farm workers (5611) Economics teachers (2218) Groundskeepers and gardeners, except farm (5622) Political science teachers (2223) Computer science teachers (2228) Expediters (4758) Supervisors, forestry and logging workers (571) Timber cutting and logging occupations (573, 579) Advertising and related sales occupations (4153) Proofreaders (4792) Sales workers, apparel (4346) Statistical clerks (4794) Theology teachers (2245) Sales workers, hardware and building supplies (4353) Home economics teachers (2247) Postsecondary teachers, subject not specified Teachers, prekindergarten and kindergarten (231) Engineers, industrial (1634) surveyors and mapping scientists (164) Geologists and geodesists (1847) Medical scientists (1855) Optometrists (281) Athletes (34) Registered nurses (29) Occupational therapists (3032) personnel and labor relations managers (123) Truck drivers (8212-8214) Taxicab drivers and chauffeurs (8216) Rail vehicle operators, n.e.c. (8239) Drilling and boring machine operators (7318, 7518) Grinding, abrading, buffing, and polishing machine operators (7322, 7324, 7522) Metal plating machine operators (7343, 7543) Drillers, oil well (652) Industrial truck and tractor equipment operators (8318) Helpers, construction trades (8641-8645, 8648) Precision assemblers, metal (6812) Painting and paint spraying machine operators (7669) Washing, cleaning, and pickling machine operators (7673) Furnace, kiln, and oven operators, except food (7675) Hhld appliance and power tool repairers (6156) Laborers, except construction (8769) Telephone line installers and repairers (6157) Cabinet makers and bench carpenters (6832) Office machine repairers (6174) Welders and cutters (7332, 7532, 7714) Correctional institution officers (5133) Hand molding, casting, and forming occupations (7754, 7755) Supervisors, computer equipment operators (4512) Not specified mechanics and repairers Supervisors, food preparation and service occupations (5211) Supervisors, electricians and power transmission installers (6314) Production testers (783) Production samplers and weighers (784) Clinical laboratory technologists and technicians (362) Dental hygienists (363) Health record technologists and technicians (364) Painters, construction and maintenance (6442) Baggage porters and bellhops (5262) Duplicating machine operators (4722) Science technicians, n.e.c. (3832, 3833, 384, 389) Airplane pilots and navigators (825) Glaziers (6464) Horticultural specialty farmers (5515) Legal assistants (396) Managers, horticultural specialty farms (5525) Psychology teachers (2217) managers, marketing, advertising, and public relations (125) managers, food serving and lodging establishments (1351) Supervisors, related agricultural occupations (5621) managers, service organizations, n.e.c. (127, 1352, 1354, part 1359) management analysts (142) Insurance sales occupations (4122) General office clerks (463) Social work teachers (2244) Sales workers, parts (4367) News vendors (4365) Clergy (2042) Musicians and composers (323) Pharmacists (301) Motor transportation occupations, n.e.c. (8219) Locomotive operating occupations (8232) Ship captains and mates, except fishing boats (part 8241, 8242) Fabricating machine operators, n.e.c. (7339, 7539) Heat treating equipment operators (7344, 7544) Longshore equipment operators (8313) Excavating and loading machine operators (8316) Photoengravers and lithographers (6842, 7444, 7644) Helpers, surveyor (8646) Small engine repairers (6114) Cementing and gluing machine operators (7661) Stevedores (8723) Precision grinders, filers, and tool sharpeners (6816) Crushing and grinding machine operators (part 7477, part 7677) Private household cleaners and servants (502, 507, 509) Supervisors, police and detectives (5112) Misc precision woodworkers (6839) Mechanical controls and valve repairers (6175) Millwrights (6178) Tailors (part 6852) Hand painting, coating, and decorating occupations (7756) Chief communications operators (4523) Protective service occupations, n.e.c. (5149) Computer operators (4612) Miscellaneous hand working occupations (7758, 7759) Production inspectors, checkers, and examiners (782, 787) Typists (4624) Graders and sorters, except agricultural (785) Bookbinders (6844) Transportation ticket and reservation agents (4644) Brickmasons and stonemasons (part 6412, part 6413) Library clerks (4694) Adjusters and calibrators (6882) Electrical and electronic technicians (3711) Ushers (5256) Physical therapists (3033) Child care workers, n.e.c. (part 5264) Physicians' assistants (304) Computer programmers (3971, 3972) Technicians, n.e.c. (399) Drillers, earth (6474) Construction trades, n.e.c. (6467, 6475, 6476, 6479) Dispatchers (4751) Supervisors and Proprietors, Sales Occupations (40) Stock and inventory clerks (4754) Graders and sorters, agricultural products (5625) Inspectors, agricultural products (5627) Medical science teachers (2231) Education teachers (2237) purch. agents and buyers, n.e.c. (1449) business and promotion agents (145) Sales workers, motor vehicles and boats (4342, 4344) Foreign language teachers (2242) Sales counter clerks (4363) Cashiers (4364) Teachers, secondary school (233) marine and naval architects (1637) operations and systems researchers and analysts (172) Actuaries (1732) Mathematical scientists, n.e.c. (1739) Physicists and astronomers (1842, 1843) Recreation workers (2033) Religious workers, n.e.c. (2049) Painters, sculptors, craft-artists, and artist printmakers (325) Photographers (326) Persons whose current labor force status is unemployed and last job was Armed Forces Forging machine operators (7319, 7519) Numerical control machine operators (7326) Miscellaneous metal, plastic, stone, and glass working machine operators (7329, 7529) Molding and casting machine operators (7315, 7342, 7515, 7542) Supervisors, material moving equipment operators (812) Crane and tower operators (8315) Grader, dozer, and scraper operators (8317) Shoe machine operators (7656) Automobile mechanics (part 6111) Auto mechanic apprentices (part 6111) Bus, truck, and stationary engine mechanics (6112) Production helpers (861, 862) Extruding and forming machine operators (7463, 7663) Tool and die mkr apprentices (part 6811) Mixing and blending machine operators (7664) Aircraft mechanics, except engine (6116) Freight, stock, and material handlers, n.e.c. (8726) Roasting and baking machine operators, food (7472, 7672) Boilermakers (6814) Electronic repairers, communications and industrial equipment (6151, 6153, 6155) Patternmakers and model makers, metal (6817) Data processing equipment repairers (6154) Slicing and cutting machine operators (7478, 7678) Engravers, metal (6823) Motion picture projectionists (part 7479) Camera, watch, and musical instrument repairers (6171, 6172) Miscellaneous machine operators, n.e.c. (part 7479, 7665, 7679) Firefighting occupations (5123) Police and detectives, public service (5132) Assemblers (772, 774) Shoe repairers (6854) Hand engraving and printing occupations (7757) Supervisors, brickmasons, stonemasons, and tile setters (6312) Patternmakers, lay-out workers, and cutters (6862) Stenographers (4623) Optical goods workers (6864, part 7477, part 7677) Food counter, fountain and related occupations (5216) Food batchmakers (6873, 6879) Licensed practical nurses (366) Power plant operators (part 693) Electrician apprentices (part 6432) Barbers (5252) Payroll and timekeeping clerks (4713) Public transportation attendants (5257) Welfare service aides (5263) Plumber, pipefitter, and steamfitter apprentices (part 645) Broadcast equipment operators (393) Paving, surfacing, and tamping equipment operators (6466) Communications equipment operators, n.e.c. (4733, 4739) Postal clerks, except mail carriers (4742) Structural metal workers (6473) Biological science teachers (2213) Physics teachers (2215) Natural science teachers, n.e.c. (2216) managers, medicine and health (131) funeral directors (part 1359) Production coordinators (4752) Social science teachers, n.e.c. (2225) Math. science teachers (2227) Material recording, scheduling, and distributing clerks, n.e.c. (4759) Insurance adjusters, examiners, and investigators (4782) Investigators and adjusters, except insurance (4783) Fishers (583) Sales engineers (421) Data-entry keyers (4793) aerospace engineers(1622) Teachers, special education (235) Counselors, Educational and Vocational (24) Economists (1912) Atmospheric and space scientists (1846) Agricultural and food scientists (1853) Dentists (262) Announcers (333) Respiratory therapists (3031) Driver-sales workers (8218) Set-up operators, lathe and turning machine (7312) Rolling machine operators (7316, 7516) Wood lathe, routing, and planing machine operators (7431, 7432, 7631, 7632) Mining machine operators (654) Automobile body and related repairers (6115) Heavy equipment mechanics (6117) Machinery maintenance occupations (614) Garage and service station related occupations (873) Hand cutting and trimming occupations (7753) Supervisors, carpenters and related workers (6313) Cooks (5214, 5215) Maids and housemen (5242, 5249) Drywall installers (6424) Water and sewage treatment plant operators (691) Electricians (part 6432) Stationary engineers (part 693, 7668) Industrial engineering technicians (3712) Supervisors, personal service occupations (5251) Miscellaneous plant and system operators (692, 694, 695, 696) Drafting occupations (372) Plasterers (6444) Roofers (6468) Tool programmers, numerical control (3974) Sheetmetal duct installers (6472) Earth, environmental, and marine science teachers (2212) Chemistry teachers (2214) History teachers (2222) Meter readers (4755) managers and administrators, n.e.c. (121, 126, 132-1343, 136-139) accountants and auditors (1412) other financial officers (1415, 1419) Physical education teachers (2236) Sales representatives, mining, manufacturing, and wholesale (423, 424) Law teachers (2243) Teachers' aides (4795) Sales workers, radio, Tv, hi-fi, and appliances (4343, 4352) Trade and industrial teachers (2246) metallurgical and materials engineers (1623) chemical engineers (1626) nuclear engineers (1627) Teachers, postsecondary, n.e.c. (2249) Teachers, elementary school (232) Street and door-to-door sales workers (4366) Engineers, electrical and electronic (1633, 1636) Engineers, mechanical (1635) Demonstrators, promoters and models, sales (445) computer systems analysts and scientists (171) Social workers (2032) Physical scientists, n.e.c. (1849) Biological and life scientists (1854) Physicians (261) Podiatrists (283) Editors and reporters (331) Public relations specialists (332) Dietitians (302) purchasing managers (124) Supervisors, motor vehicle operators (8111) Punching and stamping press machine operators (7314, 7317, 7514, 7517) Sailors and deckhands (8243) Shaping and joining machine operators (7435, 7635) Supervisors, extractive occupations (632) Miscellaneous printing machine operators (6849, 7449, 7649) Mining occupations, n.e.c. (656) Supervisors, mechanics and repairers (60) Supervisors, production occupations (67, 71) Packaging and filling machine operators (7462, 7662) Tool and die makers (part 6811) Separating, filtering, and clarifying machine operators (7476, 7666, 7676) Machine feeders and offbearers (8725) Machinists (part 6813) Compressing and compacting machine operators (7467, 7667) Lay-out workers (6821) Housekeepers and butlers (505) Precious stones and metals workers (Jewelers) (6822, 6866) Child care workers, private household (506) Telephone installers and repairers (6158) Sheet metal workers (part 6824) Photographic process machine operators (6863, 6868, 7671) Sheet metal wrker apprentices (part 6824) Supervisors, guards (5113) Locksmiths and safe repairers (6173) Fire inspection and fire prevention occupations (5122) Furniture and wood finishers (6835) Machine operators, not specified Sheriffs, bailiffs, and other law enforcement officers(5134) Crossing guards (5142) Peripheral equipment operators (4613) Dental laboratory and medical appliance technicians (6865) Interviewers (4642) Supervisors, construction, n.e.c. (6311, 6318) Not in Universe Brickmason and stonemason apprentices (part 6412, part 6413) Information clerks, n.e.c. (4649) Tile setters, hard and soft (part 6414, part 6462) Butchers and meat cutters (6871) Carpet installers (part 6462) Carpenter apprentices (part 6422) File clerks (4696) Records clerks (4699) Bookkeepers, accounting, and auditing clerks (4712) Surveying and mapping technicians (373) Paperhangers (6443) Cost and rate clerks (4716) Billing, posting, and calculating machine operators (4718) Speech therapists (3034) Office machine operators, n.e.c. (4729) Insulation workers (6465) Mail carriers, postal service (4743) Messengers (4745) Farm workers (5612-5617) Admin, education and related fields (128) Nursery workers (5619) Weighers, measurers, checkers, and samplers (4756, 4757) Real estate sales occupations (4123) Health specialties teachers (2232) Agriculture and forestry teachers (2234) inspectors and compliance officers, except construction (1473) Bank tellers (4791) petroleum engineers (1625) civil engineers (1628) agricultural engineers (1632) engineers, n.e.c. (1639) Librarians (251) Social scientists, n.e.c. (1913, 1914, 1919) Statisticians (1733) Lawyers and Judges (211, 212) Chemists, except biochemists (1845) Authors (321) Designers (322) Actors and directors (324) Veterinarians (27) administrators and officials, public administration (1132-1139) Bus drivers (8215) Parking lot attendants (874) Railroad conductors and yardmasters (8113) Bridge, lock, and lighthouse tenders (8245) Miscellaneous woodworking machine operators (7434, 7439, 7634, 7639) Typesetters and compositors (6841, 7642) Winding and twisting machine operators (7451, 7651) Knitting, looping, taping, and weaving machine operators (7452, 7652) Textile cutting machine operators (7654) Supervisors, handlers, equipment cleaners, and laborers, n.e.c. (85) Textile sewing machine operators (7655) Helpers, mechanics, and repairers (863) Helpers, extractive occupations (865) Laundering and dry cleaning machine operators (6855, 7658) Construction laborers (871) Hand packers and packagers (8761) Heating, air conditioning, and refrigeration mechanics (616) Patternmkrs and model makers, wood (6831) Elevator installers and repairers (6176) Misc precision apparel and fabric workers (6856, 6859, part 7752) Waiters and waitresses (5213) Waiters'/waitresses' assistants (5218) Miscellaneous food preparation occupations (5219) Dental assistants (5232) Classified-ad clerks (4662) Nursing aides, orderlies, and attendants (5236) Inspectors, testers, and graders (6881, 828) Personnel clerks, except payroll and timekeeping (4692) Health technologists and technicians, n.e.c. (369) Engineering technicians, n.e.c. (3719) Attendants, amusement and recreation facilities (5254) Plumbers, pipefitters, and steamfitters (part 645) Biological technicians (382) Concrete and terrazzo finishers (6463) Personal service occupations, n.e.c. (5258, 5269) Farmers, except horticultural (5512-5514) Managers, farms, except horticultural (5522-5524) Animal caretakers, except farm (5624) Engineering teachers (2226) purchasing agents and buyers, farm products (1443) Captains and other officers, fishing vessels (part 8241) Eligibility clerks, social welfare (4784) Sales occupations, other business services (4152) Management related occupations, n.e.c. (149) mining engineers (1624) Teachers, n.e.c. (236, 239) Auctioneers (447) Sales support occupations, n.e.c. (444, 446, 449) Archivists and curators (252) Psychologists (1915) Health diagnosing practitioners, n.e.c. (289) Dancers (327) Cold deck imputation Statistical or logical imputation using previous wave data Not imputed Statistical imputation (hot deck) Logical imputation (derivation) purchasing managers (124) Supervisors, motor vehicle operators (8111) Railroad conductors and yardmasters (8113) Punching and stamping press machine operators (7314, 7317, 7514, 7517) Drilling and boring machine operators (7318, 7518) Fabricating machine operators, n.e.c. (7339, 7539) Sawing machine operators (7433, 7633) Excavating and loading machine operators (8316) Typesetters and compositors (6841, 7642) Helpers, mechanics, and repairers (863) Pressing machine operators (7657) Auto mechanic apprentices (part 6111) Supervisors, production occupations (67, 71) Miscellaneous textile machine operators (7459, 7659) Aircraft engine mechanics (6113) Small engine repairers (6114) Stevedores (8723) Automobile body and related repairers (6115) General office clerks (463) Sales representatives, mining, manufacturing, and wholesale (423, 424) architects (161) Sales workers, other commodities (4345, 4347, 4354, 4356, 4359, 4362, 4369) Postsecondary teachers, subject not specified Librarians (251) Painters, sculptors, craft-artists, and artist printmakers (325) Veterinarians (27) Registered nurses (29) Respiratory therapists (3031) Occupational therapists (3032) Machinists (part 6813) Vehicle washers and equipment cleaners (875) Lay-out workers (6821) Precious stones and metals workers (Jewelers) (6822, 6866) Motion picture projectionists (part 7479) Camera, watch, and musical instrument repairers (6171, 6172) Misc precision woodworkers (6839) Hand cutting and trimming occupations (7753) Supervisors, computer equipment operators (4512) Guards and police, except public service (5144) Hand painting, coating, and decorating occupations (7756) Secretaries (4622) Supervisors, electricians and power transmission installers (6314) Patternmakers, lay-out workers, and cutters (6862) Waiters and waitresses (5213) Transportation ticket and reservation agents (4644) Kitchen workers, food preparation (5217) Brickmason and stonemason apprentices (part 6412, part 6413) Carpenter apprentices (part 6422) Licensed practical nurses (366) Water and sewage treatment plant operators (691) Power plant operators (part 693) Pest control occupations (5246) Barbers (5252) Billing, posting, and calculating machine operators (4718) Air traffic controllers (392) Personal service occupations, n.e.c. (5258, 5269) Postal clerks, except mail carriers (4742) Managers, horticultural specialty farms (5525) Psychology teachers (2217) Groundskeepers and gardeners, except farm (5622) Inspectors, agricultural products (5627) managers, service organizations, n.e.c. (127, 1352, 1354, part 1359) personnel, training, and labor relations specialists (143) Forestry workers, except logging (572) personnel and labor relations managers (123) Driver-sales workers (8218) Operators, lathe and turning machine (7512) Molding and casting machine operators (7315, 7342, 7515, 7542) Supervisors, material moving equipment operators (812) Metal plating machine operators (7343, 7543) Longshore equipment operators (8313) Grader, dozer, and scraper operators (8317) Industrial truck and tractor equipment operators (8318) Winding and twisting machine operators (7451, 7651) Knitting, looping, taping, and weaving machine operators (7452, 7652) Shoe machine operators (7656) Construction laborers (871) Tool and die mkr apprentices (part 6811) Stock handlers and baggers (8724) Investigators and adjusters, except insurance (4783) Advertising and related sales occupations (4153) Eligibility clerks, social welfare (4784) Sales engineers (421) construction inspectors (1472) Bank tellers (4791) Administrative support occupations, n.e.c. (4787, 4799) metallurgical and materials engineers (1623) mining engineers (1624) civil engineers (1628) marine and naval architects (1637) Mathematical scientists, n.e.c. (1739) Atmospheric and space scientists (1846) Medical scientists (1855) Optometrists (281) Health diagnosing practitioners, n.e.c. (289) Machine feeders and offbearers (8725) Machinist apprentices (part 6813) Precision grinders, filers, and tool sharpeners (6816) Sheet metal wrker apprentices (part 6824) Heating, air conditioning, and refrigeration mechanics (616) Locksmiths and safe repairers (6173) Police and detectives, public service (5132) Upholsterers (6853) Peripheral equipment operators (4613) Supervisors, carpenters and related workers (6313) Electrical/electronic equipment assemblers (6867) Health aides, except nursing (5233) Food batchmakers (6873, 6879) Health record technologists and technicians (364) Inspectors, testers, and graders (6881, 828) Order clerks (4664) Personnel clerks, except payroll and timekeeping (4692) Drywall installers (6424) Electrician apprentices (part 6432) Mechanical engineering technicians (3713) Drafting occupations (372) Billing clerks (4715) Plasterers (6444) Cost and rate clerks (4716) Plumber, pipefitter, and steamfitter apprentices (part 645) Broadcast equipment operators (393) Horticultural specialty farmers (5515) Roofers (6468) Tool programmers, numerical control (3974) Sheetmetal duct installers (6472) Earth, environmental, and marine science teachers (2212) Legal assistants (396) Supervisors, farm workers (5611) Drillers, earth (6474) Admin, education and related fields (128) Graders and sorters, agricultural products (5625) Weighers, measurers, checkers, and samplers (4756, 4757) Engineering teachers (2226) Insurance sales occupations (4122) Material recording, scheduling, and distributing clerks, n.e.c. (4759) chief executives and general administrators, public administration (112) Set-up operators, lathe and turning machine (7312) Rail vehicle operators, n.e.c. (8239) Ship captains and mates, except fishing boats (part 8241, 8242) Heat treating equipment operators (7344, 7544) Crane and tower operators (8315) Printing press operators (7443, 7643) Photoengravers and lithographers (6842, 7444, 7644) Textile cutting machine operators (7654) Supervisors, mechanics and repairers (60) Helpers, extractive occupations (865) Laundering and dry cleaning machine operators (6855, 7658) Bus, truck, and stationary engine mechanics (6112) Garbage collectors (8722) Extruding and forming machine operators (7463, 7663) Securities and financial services sales occupations (4124) business and promotion agents (145) Management related occupations, n.e.c. (149) Theology teachers (2245) Teachers, prekindergarten and kindergarten (231) Street and door-to-door sales workers (4366) Teachers, secondary school (233) Counselors, Educational and Vocational (24) Economists (1912) Religious workers, n.e.c. (2049) Lawyers and Judges (211, 212) Chemists, except biochemists (1845) Podiatrists (283) Editors and reporters (331) Announcers (333) Athletes (34) Aircraft mechanics, except engine (6116) Compressing and compacting machine operators (7467, 7667) Garage and service station related occupations (873) Furnace, kiln, and oven operators, except food (7675) Housekeepers and butlers (505) Patternmkrs and model makers, wood (6831) Supervisors, guards (5113) Welders and cutters (7332, 7532, 7714) Sheriffs, bailiffs, and other law enforcement officers(5134) Tailors (part 6852) Supervisors, brickmasons, stonemasons, and tile setters (6312) Stenographers (4623) Optical goods workers (6864, part 7477, part 7677) Interviewers (4642) Hotel clerks (4643) Not in Universe Msc precision workers, n.e.c. (6869) Dental hygienists (363) Maids and housemen (5242, 5249) Electrical and electronic technicians (3711) Industrial engineering technicians (3712) Bookkeepers, accounting, and auditing clerks (4712) Attendants, amusement and recreation facilities (5254) Ushers (5256) Early childhood teacher's assistants (part 5264) Therapists, n.e.c. (3039) Physicians' assistants (304) Structural metal workers (6473) Chemistry teachers (2214) Production coordinators (4752) Nursery workers (5619) Supervisors and Proprietors, Sales Occupations (40) Sociology teachers (2224) Computer science teachers (2228) accountants and auditors (1412) purchasing agents and buyers, farm products (1443) Health specialties teachers (2232) Truck drivers (8212-8214) Parking lot attendants (874) Locomotive operating occupations (8232) Sailors and deckhands (8243) Forging machine operators (7319, 7519) Numerical control machine operators (7326) Misc metal and plastic processing machine operators (7349, 7549) Helpers, surveyor (8646) Automobile mechanics (part 6111) Business, commerce, and marketing teachers (2233) Fishers (583) Bill and account collectors (4786) Hunters and trappers (584) inspectors and compliance officers, except construction (1473) Sales workers, apparel (4346) Trade and industrial teachers (2246) Engineers, electrical and electronic (1633, 1636) Urban planners (192) Recreation workers (2033) Clergy (2042) Geologists and geodesists (1847) Authors (321) Musicians and composers (323) Artists, performers, and related workers, n.e.c. (328,329) Pharmacists (301) Freight, stock, and material handlers, n.e.c. (8726) Electronic repairers, communications and industrial equipment (6151, 6153, 6155) Folding machine operators (7474, 7674) Photographic process machine operators (6863, 6868, 7671) Supervisors, firefighting and fire prevention occupations(5111) Misc precision metal workers (6829) Supervisors, police and detectives (5112) Fire inspection and fire prevention occupations (5122) Solderers and brazers (7333, 7533, 7717) Specified mechanics and repairers, n.e.c. (6177, 6179) Chief communications operators (4523) Computer operators (4612) Production inspectors, checkers, and examiners (782, 787) Bartenders (5212) Supervisors, painters, paperhangers, and plasterers (6315) Typists (4624) Classified-ad clerks (4662) Carpenters (part 6422) Janitors and cleaners (5244) Electricians (part 6432) Miscellaneous plant and system operators (692, 694, 695, 696) Engineering technicians, n.e.c. (3719) Hairdressers and cosmetologists (5253) Payroll and timekeeping clerks (4713) Chemical technicians (3831) Family child care providers (part 5264) Office machine operators, n.e.c. (4729) Communications equipment operators, n.e.c. (4733, 4739) Mail carriers, postal service (4743) Mail clerks, except postal service (4744) Messengers (4745) Natural science teachers, n.e.c. (2216) managers, marketing, advertising, and public relations (125) managers, medicine and health (131) Traffic, shipping, and receiving clerks (4753) Stock and inventory clerks (4754) other financial officers (1415, 1419) buyers, wholesale and retail trade except farm products (1442) Timber cutting and logging occupations (573, 579) Railroad brake, signal, and switch operators (8233) Operating engineers (8312) Miscellaneous woodworking machine operators (7434, 7439, 7634, 7639) Explosives workers (653) Misc material moving equipment operators (8319) Supervisors, handlers, equipment cleaners, and laborers, n.e.c. (85) Textile sewing machine operators (7655) Production helpers (861, 862) Tool and die makers (part 6811) Captains and other officers, fishing vessels (part 8241) Physical education teachers (2236) Education teachers (2237) purch. agents and buyers, n.e.c. (1449) Sales workers, motor vehicles and boats (4342, 4344) Sales workers, shoes (4351) Statistical clerks (4794) Law teachers (2243) Sales workers, furniture and home furnishings (4348) News vendors (4365) Engineers, mechanical (1635) Social scientists, n.e.c. (1913, 1914, 1919) surveyors and mapping scientists (164) computer systems analysts and scientists (171) Actuaries (1732) Statisticians (1733) Designers (322) Actors and directors (324) Photographers (326) Physicians (261) Precision assemblers, metal (6812) Farm equipment mechanics (6118) Data processing equipment repairers (6154) Hhld appliance and power tool repairers (6156) Slicing and cutting machine operators (7478, 7678) Cabinet makers and bench carpenters (6832) Correctional institution officers (5133) Supervisors, financial records processing (4521) Shoe repairers (6854) Not specified mechanics and repairers Misc precision apparel and fabric workers (6856, 6859, part 7752) Production testers (783) Cooks (5214, 5215) Supervisors, plumbers, pipefitters, and steamfitters (6316) Receptionists (4645) Waiters'/waitresses' assistants (5218) Clinical laboratory technologists and technicians (362) Bakers (6872) Supervisors, cleaning and building service workers (5241) Surveying and mapping technicians (373) Guides (5255) Paperhangers (6443) Baggage porters and bellhops (5262) Child care workers, n.e.c. (part 5264) Glaziers (6464) Managers, farms, except horticultural (5522-5524) Construction trades, n.e.c. (6467, 6475, 6476, 6479) Farm workers (5612-5617) management analysts (142) administrators and officials, public administration (1132-1139) financial managers (122) Taxicab drivers and chauffeurs (8216) Bridge, lock, and lighthouse tenders (8245) Miscellaneous metal, plastic, stone, and glass working machine operators (7329, 7529) Hoist and winch operators (8314) Mining machine operators (654) Miscellaneous printing machine operators (6849, 7449, 7649) Cementing and gluing machine operators (7661) Agriculture and forestry teachers (2234) Social work teachers (2244) petroleum engineers (1625) chemical engineers (1626) Sales counter clerks (4363) agricultural engineers (1632) engineers, n.e.c. (1639) Auctioneers (447) operations and systems researchers and analysts (172) Physical scientists, n.e.c. (1849) Biological and life scientists (1854) Dietitians (302) Persons whose current labor force status is unemployed and last job was Armed Forces Painting and paint spraying machine operators (7669) Patternmakers and model makers, metal (6817) Crushing and grinding machine operators (part 7477, part 7677) Miscellaneous electrical and electronic equipment repairers (6152, 6159) Mechanical controls and valve repairers (6175) Hand molding, casting, and forming occupations (7754, 7755) Miscellaneous hand working occupations (7758, 7759) Supervisors, construction, n.e.c. (6311, 6318) Information clerks, n.e.c. (4649) Health technologists and technicians, n.e.c. (369) Library clerks (4694) Supervisors, personal service occupations (5251) Public transportation attendants (5257) Plumbers, pipefitters, and steamfitters (part 645) Physical therapists (3033) Speech therapists (3034) Concrete and terrazzo finishers (6463) Airplane pilots and navigators (825) Paving, surfacing, and tamping equipment operators (6466) Physics teachers (2215) Economics teachers (2218) funeral directors (part 1359) Marine life cultivation workers (5618) Supervisors, related agricultural occupations (5621) Political science teachers (2223) Animal caretakers, except farm (5624) Supervisors, forestry and logging workers (571) Real estate sales occupations (4123) Bus drivers (8215) Rolling machine operators (7316, 7516) Marine engineers (8244) Wood lathe, routing, and planing machine operators (7431, 7432, 7631, 7632) Drillers, oil well (652) Packaging and filling machine operators (7462, 7662) Proofreaders (4792) English teachers (2238) Data-entry keyers (4793) Sales workers, radio, Tv, hi-fi, and appliances (4343, 4352) nuclear engineers (1627) Cashiers (4364) Teachers, elementary school (232) Teachers, n.e.c. (236, 239) Engineers, industrial (1634) Psychologists (1915) Agricultural and food scientists (1853) Dentists (262) Public relations specialists (332) Machinery maintenance occupations (614) Washing, cleaning, and pickling machine operators (7673) Cooks, private household (504) Hand packers and packagers (8761) Laborers, except construction (8769) Telephone line installers and repairers (6157) Private household cleaners and servants (502, 507, 509) Telephone installers and repairers (6158) Furniture and wood finishers (6835) Machine operators, not specified Office machine repairers (6174) Assemblers (772, 774) Crossing guards (5142) Protective service occupations, n.e.c. (5149) Hand engraving and printing occupations (7757) Hand molders and shapers, except jewelers (6861) Production samplers and weighers (784) Graders and sorters, except agricultural (785) Bookbinders (6844) Miscellaneous food preparation occupations (5219) Adjusters and calibrators (6882) Elevator operators (5245) Stationary engineers (part 693, 7668) Painters, construction and maintenance (6442) Duplicating machine operators (4722) Mail preparing and paper handling machine operators (4723) Telephone operators (4732) Computer programmers (3971, 3972) Dispatchers (4751) managers, food serving and lodging establishments (1351) managers, properties and real estate (1353) Math. science teachers (2227) Medical science teachers (2231) Insurance adjusters, examiners, and investigators (4782) administrators, protective services (1131) Motor transportation occupations, n.e.c. (8219) Milling and planing machine operators (7313, 7513) Grinding, abrading, buffing, and polishing machine operators (7322, 7324, 7522) Shaping and joining machine operators (7435, 7635) Nailing and tacking machine operators (7636) Supervisors, extractive occupations (632) Mining occupations, n.e.c. (656) Helpers, construction trades (8641-8645, 8648) Mixing and blending machine operators (7664) Sales occupations, other business services (4152) Art, drama, and music teachers (2235) Foreign language teachers (2242) Teachers' aides (4795) Sales workers, hardware and building supplies (4353) Sales workers, parts (4367) Home economics teachers (2247) aerospace engineers(1622) Teachers, postsecondary, n.e.c. (2249) Teachers, special education (235) Demonstrators, promoters and models, sales (445) Sales support occupations, n.e.c. (444, 446, 449) Archivists and curators (252) Sociologists (1916) Physicists and astronomers (1842, 1843) Social workers (2032) Forestry and conservation scientists (1852) Technical writers (398) Dancers (327) Separating, filtering, and clarifying machine operators (7476, 7666, 7676) Heavy equipment mechanics (6117) Industrial machinery repairers (613) Roasting and baking machine operators, food (7472, 7672) Boilermakers (6814) Launderers and ironers (503) Child care workers, private household (506) Engravers, metal (6823) Sheet metal workers (part 6824) Miscellaneous machine operators, n.e.c. (part 7479, 7665, 7679) Firefighting occupations (5123) Elevator installers and repairers (6176) Millwrights (6178) Supervisors, general office (4511, 4513, 4514, 4516, 4519, 4529) Dressmakers (part 6852, part 7752) Supervisors, distribution, scheduling, and adjusting clerks (4522, 4524-4528) Supervisors, food preparation and service occupations (5211) Dental laboratory and medical appliance technicians (6865) Food counter, fountain and related occupations (5216) Brickmasons and stonemasons (part 6412, part 6413) Tile setters, hard and soft (part 6414, part 6462) Butchers and meat cutters (6871) Dental assistants (5232) Carpet installers (part 6462) Correspondence clerks (4663) Nursing aides, orderlies, and attendants (5236) Radiologic technicians (365) File clerks (4696) Electrical power installers and repairers (6433) Records clerks (4699) Biological technicians (382) Welfare service aides (5263) Science technicians, n.e.c. (3832, 3833, 384, 389) Insulation workers (6465) Farmers, except horticultural (5512-5514) Biological science teachers (2213) Technicians, n.e.c. (399) History teachers (2222) Meter readers (4755) Social science teachers, n.e.c. (2225) managers and administrators, n.e.c. (121, 126, 132-1343, 136-139) underwriters (1414) Expediters (4758) Cold deck imputation Statistical or logical imputation using previous wave data Statistical imputation (hot deck) Not imputed Logical imputation (derivation) No Not in Universe Yes Statistical or logical imputation using previous wave data Statistical imputation (hot deck) Cold deck imputation Logical imputation (derivation) Not imputed None or not in universe Amount in dollars Cold deck imputation Statistical or logical imputation using previous wave data Logical imputation (derivation) Statistical imputation (hot deck) Not imputed Dollar amount Not in universe or none Dollars and cents (two implied decimals) Not in universe or none Dollars and cents (two implied decimals) Received Did not receive Not in Universe Not imputed Statistical imputation (hot deck) Statistical or logical imputation using previous wave data Cold deck imputation Logical imputation (derivation) Number of families in household Statistical or logical imputation using previous wave data Cold deck imputation Statistical imputation (hot deck) Not imputed Logical imputation (derivation) Not in Universe Did not receive Received Statistical imputation (hot deck) Cold deck imputation Not imputed Logical imputation (derivation) Statistical or logical imputation using previous wave data Cold deck imputation Not imputed Statistical imputation (hot deck) Logical imputation (derivation) Statistical or logical imputation using previous wave data Cold deck imputation Statistical or logical imputation using previous wave data Statistical imputation (hot deck) Logical imputation (derivation) Not imputed Not imputed Statistical imputation (hot deck) Cold deck imputation Logical imputation (derivation) Statistical or logical imputation using previous wave data Statistical or logical imputation using previous wave data Statistical imputation (hot deck) Logical imputation (derivation) Cold deck imputation Not imputed Logical imputation (derivation) Not imputed Cold deck imputation Statistical or logical imputation using previous wave data Statistical imputation (hot deck) Did not receive Not in Universe Received Not in Universe Did not receive Received Statistical imputation (hot deck) Statistical or logical imputation using previous wave data Cold deck imputation Logical imputation (derivation) Not imputed Logical imputation(derivation) Statistical imputation(hot deck) Cold deck Not imputed Not in Universe Yes No Not in Universe Job Opportunities and Basic Skills(JOBS) or Work Incentive Program(WIN) Veteran's training programs No - not sponsored by any of the above Job Training Partnership Act(JTPA) Food Stamps work/OTHER program sponsored by welfare or AFDC Logical imputation (derivation) Statistical or logical imputation using previous wave data Not imputed Statistical imputation (hot deck) Cold deck imputation No Not in Universe Yes Job Opportunities and Basic Skills(JOBS) or Work Incentive Program(WIN) Not in Universe Veteran's training programs Job Training Partnership Act(JTPA) Food Stamps work/OTHER program sponsored by welfare or AFDC No Not in Universe Yes No Not in Universe Yes Not in Universe Number of children No Not in Universe Yes None or not in universe Dollars No Not in Universe Yes Statistical imputation (hot deck) Not imputed Cold deck imputation Logical imputation Suppressed Yes Not in Universe No Not in Universe No Yes Not in Universe Weight of related subfamily reference person No Yes Not in Universe No Not in Universe Yes None or not in universe Amount in dollars Cold deck Not imputed Logical imputation(derivation) Statistical imputation(hot deck) Imputed based on previous wave data Cold deck imputation Logical imputation (derivation) Not imputed Statistical imputation (hot deck) Statistical or logical imputation using previous wave data Cold deck Statistical imputation(hot deck) Not imputed Logical imputation(derivation) Cold deck Not imputed Statistical imputation(hot deck) Logical imputation(derivation) Cold deck imputation Statistical imputation(hot deck) Logical imputation(derivation) Statistical or logical imputation using previous wave data Not imputed Not in Universe Did not receive Received No Not in Universe Yes No Yes Not in Universe Family ID number Not imputed Statistical imputation(hot deck) Logical imputation(derivation) Cold deck Not in Universe Yes No Statistical imputation (hot deck) Logical imputation (derivation) Not imputed Cold deck imputation Statistical or logical imputation using previous wave data Not in Universe Did not receive Received 1999 Before 1977 1993-1994 1995 1997 2001 Not in Universe Respondent didn't supply valid year 1998 2000 1987 1988-1989 1996 1977-1983 1984-1986 1990-1992 Statistical imputation (hot deck) Logical imputation (derivation) Cold deck imputation Statistical or logical imputation using previous wave data Not imputed No, not covered Not in Universe Yes, covered None or not in univerese Dollars Not in Universe Received Did not receive Received Did not receive Not in Universe Not in Universe Contingent business Number of businesses Not in Universe Received Did not receive Statistical imputation (hot deck) Cold deck imputation Not imputed Logical imputation (derivation) Statistical or logical imputation using previous wave data Not in Universe Year of only/last separation Received Did not receive Not in Universe Statistical or logical imputation using previous wave data Cold deck imputation Logical imputation (derivation) Not imputed Statistical imputation (hot deck) Not imputed Statistical imputation(hot deck) Cold deck imputation Logical imputation(derivation) Statistical or logical imputation using previous wave data Not in Universe Yes No Statistical imputation (hot deck) Not imputed Statistical or logical imputation using previous wave data Logical imputation (derivation) Cold deck imputation Yes No Not in Universe Not in Universe Yes No None or not in universe Dollars Not in Universe No Yes No Yes Not in Universe Family hh - Married couple Group Quarters Nonfamily hh - Female householder nonfamily householder Nonfamily hh - Male householder nonfamily household Family hh - Male householder Family hh - Female householder Not In Universe Person number Logical imputation (derivation) Statistical or logical imputation using previous wave data Statistical imputation (hot deck) Cold deck imputation Not imputed Not In Universe Person number Statistical imputation(hot deck) Cold deck imputation Statistical or logical imputation using previous wave data Not imputed Logical imputation(derivation) No Yes Not in Universe Statistical imputation(hot deck) Logical imputation(derivation) Not imputed Statistical or logical imputation using previous wave data Cold deck imputation Longitudinal logical imputation (derivation) Not imputed Cold deck imputation Logical imputation (derivation) Statistical or logical imputation using previous wave data Longitudinal statistical imputation (hot deck) Statistical imputation (hot deck) Statistical imputation(hot deck) Not imputed Cold deck Logical imputation(derivation) Owned or being bought by someone in the household Rented for cash Not in Universe Occupied without payment of cash rent Always lived here None or not in universe Amount in dollars Some weeks 35+ and some weeks less than 35, all weeks equal to or greater than 1 Did not work Some weeks 35+, some 1-34 hours, some 0 hours All weeks 35+ All weeks 1-34 hours Not in Universe At least 1, but not all, weeks 35+ hours, all other weeks 0 hours At least 1 week, but not all weeks, 1 to 34 hours; all other weeks 0 hours Not in Universe Year of second termination No Yes Not in Universe Statistical or logical imputation using previous wave data Cold deck imputation Logical imputation (derivation) Not imputed Statistical imputation (hot deck) Cold deck Statistical imputation(hot deck) Not imputed Logical imputation(derivation) Statistical imputation (hot deck) Not imputed Cold deck imputation Statistical or logical imputation using previous wave data Logical imputation (derivation) Not imputed Statistical imputation (hot deck) Statistical or logical imputation using previous wave data Cold deck imputation Logical imputation (derivation) Program didn't have this purpose. Program had this purpose. Not in Universe Statistical imputation(hot deck) Logical imputation(derivation) Not imputed Cold deck Not imputed Cold deck imputation Statistical imputation (hot deck) Logical imputation (derivation) Statistical or logical imputation using previous wave data Statistical imputation (hot deck) Statistical or logical imputation using previous wave data Cold deck imputation Logical imputation (derivation) Not imputed Not in Universe Program had this purpose. Program didn't have this purpose. Cold deck imputation Logical imputation (derivation) Statistical imputation (hot deck) Not imputed Statistical or logical imputation using previous wave data Program had this purpose. Program didn't have this purpose. Not in Universe Not imputed Statistical imputation (hot deck) Statistical or logical imputation using previous wave data Logical imputation (derivation) Cold deck imputation Program didn't have this purpose. Not in Universe Program had this purpose. Doctorate degree (For example: PhD, EdD) Not in Universe Professional School Degree (For example: MD,DDS,DVM,LLB,JD) 10th Grade 11th Grade Some College But No Degree Associate degree in college - Occupational/vocational program Master's degree (For example: MA, MS, MEng, MSW, MBA) 9th Grade Diploma or cert from voc, tech, trade or bus school beyond high school 12th grade 5th Or 6th Grade Bachelors degree (For example: BA, AB, BS) 7th Or 8th Grade High school graduate-high school diploma or equivalent (for ex: GED) Less Than 1st Grade 1st, 2nd, 3rd or 4th grade Associate Degree in college - Academic program None or not in universe Dollar amount Program had this purpose. Program didn't have this purpose. Not in Universe Dollar amount Program didn't have this purpose. Program had this purpose. Not in Universe Not imputed Cold deck imputation Statistical imputation (hot deck) Logical imputation (derivation) Statistical or logical imputation using previous wave data Not imputed Logical imputation (derivation) Statistical imputation (hot deck) Cold deck imputation Statistical or logical imputation using previous wave data Father/mother-in-law Adoptive parent Grandparent Paid employee Stepchild Foster child Biological parent Other brother/sister Other non-relative Step and adopted child Spouse Daughter/son-in-law Other relative Self Step and adoptive parent Brother/sister-in-law Biological brother/sister Grandchild Adopted child Half brother/sister Adopted brother/sister Uncle/aunt Nephew/niece Other child Step brother/sister Stepparent Foster parent Unmarried partner Other parent Not in Universe Roommate/housemate Roomer/boarder Biological child Statistical imputation (hot deck) Cold deck imputation Statistical or logical imputation using previous wave data Logical imputation (derivation) Not imputed Primary family (including those with related subfamilies) Unrelated Subfamily Secondary individual Primary Individual Not in Universe Program didn't have this purpose. Program had this purpose. Not in Universe With other relatives In his/her own household In correctional facility With his/her own father In foster care/foster family In an institution (hospital) In school dormitory Deceased Other Refused In this household With his/her own grandparent(s) Don't know With an adoptive parent(s) No Yes Not in Universe Statistical imputation (hot deck) Statistical or logical imputation using previous wave data Cold deck imputation Not imputed Logical imputation (derivation) Statistical imputation (hot deck) Not imputed Logical imputation (derivation) Cold deck imputation Statistical or logical imputation using previous wave data Not in Universe Number of child(ren) Yes No Not in Universe Not imputation Logical imputation(derivation) Statistical imputation(hot deck) Cold deck financial managers (122) Motor transportation occupations, n.e.c. (8219) Locomotive operating occupations (8232) Ship captains and mates, except fishing boats (part 8241, 8242) Fabricating machine operators, n.e.c. (7339, 7539) Sawing machine operators (7433, 7633) Industrial truck and tractor equipment operators (8318) Shoe machine operators (7656) Automobile mechanics (part 6111) Construction laborers (871) Production helpers (861, 862) Stevedores (8723) Mixing and blending machine operators (7664) Precision assemblers, metal (6812) Farm equipment mechanics (6118) Painting and paint spraying machine operators (7669) Machinery maintenance occupations (614) Freight, stock, and material handlers, n.e.c. (8726) Patternmakers and model makers, metal (6817) Data processing equipment repairers (6154) Hand packers and packagers (8761) Hhld appliance and power tool repairers (6156) Misc precision metal workers (6829) Machine operators, not specified Misc precision woodworkers (6839) Specified mechanics and repairers, n.e.c. (6177, 6179) Supervisors, food preparation and service occupations (5211) Bartenders (5212) Typists (4624) Clinical laboratory technologists and technicians (362) Carpet installers (part 6462) Personnel clerks, except payroll and timekeeping (4692) Maids and housemen (5242, 5249) Cost and rate clerks (4716) Horticultural specialty farmers (5515) Sheetmetal duct installers (6472) Supervisors, farm workers (5611) Physics teachers (2215) Psychology teachers (2217) Economics teachers (2218) funeral directors (part 1359) Weighers, measurers, checkers, and samplers (4756, 4757) Math. science teachers (2227) managers, service organizations, n.e.c. (127, 1352, 1354, part 1359) other financial officers (1415, 1419) management analysts (142) personnel, training, and labor relations specialists (143) Health specialties teachers (2232) General office clerks (463) Sales representatives, mining, manufacturing, and wholesale (423, 424) Education teachers (2237) inspectors and compliance officers, except construction (1473) Management related occupations, n.e.c. (149) Sales workers, shoes (4351) Trade and industrial teachers (2246) Sales workers, other commodities (4345, 4347, 4354, 4356, 4359, 4362, 4369) Teachers, prekindergarten and kindergarten (231) Demonstrators, promoters and models, sales (445) Psychologists (1915) Social scientists, n.e.c. (1913, 1914, 1919) Medical scientists (1855) Occupational therapists (3032) chief executives and general administrators, public administration (112) Sailors and deckhands (8243) Marine engineers (8244) Miscellaneous metal, plastic, stone, and glass working machine operators (7329, 7529) Heat treating equipment operators (7344, 7544) Knitting, looping, taping, and weaving machine operators (7452, 7652) Pressing machine operators (7657) Automobile body and related repairers (6115) Heavy equipment mechanics (6117) Precision grinders, filers, and tool sharpeners (6816) Folding machine operators (7474, 7674) Child care workers, private household (506) Heating, air conditioning, and refrigeration mechanics (616) Patternmkrs and model makers, wood (6831) Locksmiths and safe repairers (6173) Fire inspection and fire prevention occupations (5122) Police and detectives, public service (5132) Mechanical controls and valve repairers (6175) Solderers and brazers (7333, 7533, 7717) Hand painting, coating, and decorating occupations (7756) Production inspectors, checkers, and examiners (782, 787) Brickmason and stonemason apprentices (part 6412, part 6413) Information clerks, n.e.c. (4649) Miscellaneous food preparation occupations (5219) Correspondence clerks (4663) Licensed practical nurses (366) Hairdressers and cosmetologists (5253) Painters, construction and maintenance (6442) Guides (5255) Welfare service aides (5263) Chemical technicians (3831) Duplicating machine operators (4722) Plumber, pipefitter, and steamfitter apprentices (part 645) Speech therapists (3034) Therapists, n.e.c. (3039) Earth, environmental, and marine science teachers (2212) Mail carriers, postal service (4743) Construction trades, n.e.c. (6467, 6475, 6476, 6479) Natural science teachers, n.e.c. (2216) managers, food serving and lodging establishments (1351) Supervisors, related agricultural occupations (5621) Stock and inventory clerks (4754) Groundskeepers and gardeners, except farm (5622) Political science teachers (2223) Animal caretakers, except farm (5624) Inspectors, agricultural products (5627) buyers, wholesale and retail trade except farm products (1442) Supervisors, forestry and logging workers (571) Material recording, scheduling, and distributing clerks, n.e.c. (4759) Insurance adjusters, examiners, and investigators (4782) Business, commerce, and marketing teachers (2233) Advertising and related sales occupations (4153) Physical education teachers (2236) surveyors and mapping scientists (164) computer systems analysts and scientists (171) Social workers (2032) Musicians and composers (323) Painters, sculptors, craft-artists, and artist printmakers (325) Announcers (333) Railroad conductors and yardmasters (8113) Forging machine operators (7319, 7519) Bridge, lock, and lighthouse tenders (8245) Metal plating machine operators (7343, 7543) Printing press operators (7443, 7643) Explosives workers (653) Mining occupations, n.e.c. (656) Helpers, mechanics, and repairers (863) Aircraft engine mechanics (6113) Machine feeders and offbearers (8725) Compressing and compacting machine operators (7467, 7667) Vehicle washers and equipment cleaners (875) Miscellaneous electrical and electronic equipment repairers (6152, 6159) Furniture and wood finishers (6835) Dressmakers (part 6852, part 7752) Hand molding, casting, and forming occupations (7754, 7755) Crossing guards (5142) Shoe repairers (6854) Supervisors, brickmasons, stonemasons, and tile setters (6312) Production testers (783) Supervisors, painters, paperhangers, and plasterers (6315) Radiologic technicians (365) Order clerks (4664) Electricians (part 6432) Electrician apprentices (part 6432) Records clerks (4699) Surveying and mapping technicians (373) Public transportation attendants (5257) Biological technicians (382) Airplane pilots and navigators (825) Child care workers, n.e.c. (part 5264) Glaziers (6464) Physicians' assistants (304) Broadcast equipment operators (393) Tool programmers, numerical control (3974) Managers, farms, except horticultural (5522-5524) Structural metal workers (6473) Nursery workers (5619) Traffic, shipping, and receiving clerks (4753) Timber cutting and logging occupations (573, 579) Bill and account collectors (4786) purch. agents and buyers, n.e.c. (1449) construction inspectors (1472) Bank tellers (4791) Proofreaders (4792) Sales workers, apparel (4346) Law teachers (2243) Social work teachers (2244) Administrative support occupations, n.e.c. (4787, 4799) Home economics teachers (2247) architects (161) chemical engineers (1626) nuclear engineers (1627) Teachers, elementary school (232) Engineers, industrial (1634) marine and naval architects (1637) engineers, n.e.c. (1639) Statisticians (1733) Physicists and astronomers (1842, 1843) Urban planners (192) Forestry and conservation scientists (1852) Authors (321) Health diagnosing practitioners, n.e.c. (289) Registered nurses (29) Respiratory therapists (3031) Bus drivers (8215) Operators, lathe and turning machine (7512) Supervisors, material moving equipment operators (812) Nailing and tacking machine operators (7636) Grader, dozer, and scraper operators (8317) Photoengravers and lithographers (6842, 7444, 7644) Winding and twisting machine operators (7451, 7651) Textile sewing machine operators (7655) Supervisors, mechanics and repairers (60) Cementing and gluing machine operators (7661) Garbage collectors (8722) Stock handlers and baggers (8724) Aircraft mechanics, except engine (6116) Separating, filtering, and clarifying machine operators (7476, 7666, 7676) Industrial machinery repairers (613) Miscellaneous machine operators, n.e.c. (part 7479, 7665, 7679) Sheriffs, bailiffs, and other law enforcement officers(5134) Peripheral equipment operators (4613) Stenographers (4623) Dental laboratory and medical appliance technicians (6865) Hotel clerks (4643) Transportation ticket and reservation agents (4644) Library clerks (4694) Mechanical engineering technicians (3713) Attendants, amusement and recreation facilities (5254) Plasterers (6444) Science technicians, n.e.c. (3832, 3833, 384, 389) Legal assistants (396) Biological science teachers (2213) Chemistry teachers (2214) Graders and sorters, agricultural products (5625) Medical science teachers (2231) Securities and financial services sales occupations (4124) Art, drama, and music teachers (2235) business and promotion agents (145) Statistical clerks (4794) Teachers' aides (4795) Sales workers, hardware and building supplies (4353) metallurgical and materials engineers (1623) Teachers, postsecondary, n.e.c. (2249) Sales counter clerks (4363) News vendors (4365) civil engineers (1628) agricultural engineers (1632) Sales support occupations, n.e.c. (444, 446, 449) operations and systems researchers and analysts (172) Actuaries (1732) Lawyers and Judges (211, 212) Chemists, except biochemists (1845) Physical scientists, n.e.c. (1849) Technical writers (398) Taxicab drivers and chauffeurs (8216) Railroad brake, signal, and switch operators (8233) Rolling machine operators (7316, 7516) Operating engineers (8312) Wood lathe, routing, and planing machine operators (7431, 7432, 7631, 7632) Miscellaneous printing machine operators (6849, 7449, 7649) Helpers, extractive occupations (865) Bus, truck, and stationary engine mechanics (6112) Tool and die makers (part 6811) Machinist apprentices (part 6813) Boilermakers (6814) Washing, cleaning, and pickling machine operators (7673) Launderers and ironers (503) Furnace, kiln, and oven operators, except food (7675) Cooks, private household (504) Housekeepers and butlers (505) Private household cleaners and servants (502, 507, 509) Sheet metal workers (part 6824) Sheet metal wrker apprentices (part 6824) Firefighting occupations (5123) Office machine repairers (6174) Elevator installers and repairers (6176) Assemblers (772, 774) Hand cutting and trimming occupations (7753) Supervisors, computer equipment operators (4512) Supervisors, financial records processing (4521) Guards and police, except public service (5144) Computer operators (4612) Waiters and waitresses (5213) Cooks (5214, 5215) Supervisors, plumbers, pipefitters, and steamfitters (6316) Interviewers (4642) Bookbinders (6844) Tile setters, hard and soft (part 6414, part 6462) Bakers (6872) Classified-ad clerks (4662) Health aides, except nursing (5233) Carpenters (part 6422) Water and sewage treatment plant operators (691) Electrical and electronic technicians (3711) File clerks (4696) Miscellaneous plant and system operators (692, 694, 695, 696) Payroll and timekeeping clerks (4713) Mail preparing and paper handling machine operators (4723) Early childhood teacher's assistants (part 5264) Roofers (6468) Technicians, n.e.c. (399) Mail clerks, except postal service (4744) Drillers, earth (6474) Messengers (4745) Dispatchers (4751) Production coordinators (4752) Engineering teachers (2226) Computer science teachers (2228) accountants and auditors (1412) Expediters (4758) Forestry workers, except logging (572) Real estate sales occupations (4123) Eligibility clerks, social welfare (4784) Agriculture and forestry teachers (2234) Sales occupations, other business services (4152) Sales workers, furniture and home furnishings (4348) Theology teachers (2245) Cashiers (4364) Teachers, secondary school (233) Archivists and curators (252) Sociologists (1916) Recreation workers (2033) Agricultural and food scientists (1853) Designers (322) Podiatrists (283) Artists, performers, and related workers, n.e.c. (328,329) Editors and reporters (331) Public relations specialists (332) Dietitians (302) Persons whose current labor force status is unemployed and last job was Armed Forces administrators and officials, public administration (1132-1139) administrators, protective services (1131) purchasing managers (124) Supervisors, motor vehicle operators (8111) Driver-sales workers (8218) Set-up operators, lathe and turning machine (7312) Punching and stamping press machine operators (7314, 7317, 7514, 7517) Grinding, abrading, buffing, and polishing machine operators (7322, 7324, 7522) Longshore equipment operators (8313) Excavating and loading machine operators (8316) Typesetters and compositors (6841, 7642) Helpers, construction trades (8641-8645, 8648) Supervisors, production occupations (67, 71) Miscellaneous textile machine operators (7459, 7659) Packaging and filling machine operators (7462, 7662) Machinists (part 6813) Electronic repairers, communications and industrial equipment (6151, 6153, 6155) Lay-out workers (6821) Precious stones and metals workers (Jewelers) (6822, 6866) Crushing and grinding machine operators (part 7477, part 7677) Laborers, except construction (8769) Telephone line installers and repairers (6157) Slicing and cutting machine operators (7478, 7678) Supervisors, firefighting and fire prevention occupations(5111) Supervisors, police and detectives (5112) Millwrights (6178) Upholsterers (6853) Chief communications operators (4523) Supervisors, distribution, scheduling, and adjusting clerks (4522, 4524-4528) Supervisors, electricians and power transmission installers (6314) Optical goods workers (6864, part 7477, part 7677) Graders and sorters, except agricultural (785) Food counter, fountain and related occupations (5216) Kitchen workers, food preparation (5217) Receptionists (4645) Msc precision workers, n.e.c. (6869) Dental assistants (5232) Health record technologists and technicians (364) Carpenter apprentices (part 6422) Drywall installers (6424) Pest control occupations (5246) Industrial engineering technicians (3712) Supervisors, personal service occupations (5251) Bookkeepers, accounting, and auditing clerks (4712) Plumbers, pipefitters, and steamfitters (part 645) Physical therapists (3033) Office machine operators, n.e.c. (4729) Telephone operators (4732) Personal service occupations, n.e.c. (5258, 5269) Insulation workers (6465) Meter readers (4755) Sociology teachers (2224) Social science teachers, n.e.c. (2225) Insurance sales occupations (4122) Investigators and adjusters, except insurance (4783) Data-entry keyers (4793) Sales workers, radio, Tv, hi-fi, and appliances (4343, 4352) Sales workers, parts (4367) aerospace engineers(1622) mining engineers (1624) Street and door-to-door sales workers (4366) Mathematical scientists, n.e.c. (1739) Atmospheric and space scientists (1846) Optometrists (281) Dancers (327) Truck drivers (8212-8214) Parking lot attendants (874) Rail vehicle operators, n.e.c. (8239) Drilling and boring machine operators (7318, 7518) Shaping and joining machine operators (7435, 7635) Drillers, oil well (652) Mining machine operators (654) Textile cutting machine operators (7654) Supervisors, handlers, equipment cleaners, and laborers, n.e.c. (85) Auto mechanic apprentices (part 6111) Laundering and dry cleaning machine operators (6855, 7658) Extruding and forming machine operators (7463, 7663) Tool and die mkr apprentices (part 6811) Roasting and baking machine operators, food (7472, 7672) Engravers, metal (6823) Motion picture projectionists (part 7479) Photographic process machine operators (6863, 6868, 7671) Camera, watch, and musical instrument repairers (6171, 6172) Cabinet makers and bench carpenters (6832) Welders and cutters (7332, 7532, 7714) Tailors (part 6852) Protective service occupations, n.e.c. (5149) Not specified mechanics and repairers Hand engraving and printing occupations (7757) Misc precision apparel and fabric workers (6856, 6859, part 7752) Supervisors, carpenters and related workers (6313) Secretaries (4622) Patternmakers, lay-out workers, and cutters (6862) Production samplers and weighers (784) Dental hygienists (363) Food batchmakers (6873, 6879) Nursing aides, orderlies, and attendants (5236) Adjusters and calibrators (6882) Power plant operators (part 693) Elevator operators (5245) Electrical power installers and repairers (6433) Barbers (5252) Engineering technicians, n.e.c. (3719) Baggage porters and bellhops (5262) Concrete and terrazzo finishers (6463) Computer programmers (3971, 3972) Paving, surfacing, and tamping equipment operators (6466) Farm workers (5612-5617) Admin, education and related fields (128) managers, medicine and health (131) managers, properties and real estate (1353) managers and administrators, n.e.c. (121, 126, 132-1343, 136-139) underwriters (1414) purchasing agents and buyers, farm products (1443) Hunters and trappers (584) Sales engineers (421) Sales workers, motor vehicles and boats (4342, 4344) English teachers (2238) Foreign language teachers (2242) Postsecondary teachers, subject not specified Teachers, special education (235) Teachers, n.e.c. (236, 239) Engineers, electrical and electronic (1633, 1636) Engineers, mechanical (1635) Auctioneers (447) Economists (1912) Clergy (2042) Religious workers, n.e.c. (2049) Geologists and geodesists (1847) Biological and life scientists (1854) Actors and directors (324) Veterinarians (27) Athletes (34) Pharmacists (301) personnel and labor relations managers (123) Milling and planing machine operators (7313, 7513) Numerical control machine operators (7326) Molding and casting machine operators (7315, 7342, 7515, 7542) Misc metal and plastic processing machine operators (7349, 7549) Hoist and winch operators (8314) Crane and tower operators (8315) Miscellaneous woodworking machine operators (7434, 7439, 7634, 7639) Supervisors, extractive occupations (632) Misc material moving equipment operators (8319) Helpers, surveyor (8646) Small engine repairers (6114) Garage and service station related occupations (873) Telephone installers and repairers (6158) Supervisors, guards (5113) Supervisors, general office (4511, 4513, 4514, 4516, 4519, 4529) Correctional institution officers (5133) Miscellaneous hand working occupations (7758, 7759) Hand molders and shapers, except jewelers (6861) Supervisors, construction, n.e.c. (6311, 6318) Not in Universe Electrical/electronic equipment assemblers (6867) Brickmasons and stonemasons (part 6412, part 6413) Waiters'/waitresses' assistants (5218) Butchers and meat cutters (6871) Inspectors, testers, and graders (6881, 828) Supervisors, cleaning and building service workers (5241) Health technologists and technicians, n.e.c. (369) Janitors and cleaners (5244) Stationary engineers (part 693, 7668) Drafting occupations (372) Billing clerks (4715) Ushers (5256) Paperhangers (6443) Billing, posting, and calculating machine operators (4718) Family child care providers (part 5264) Air traffic controllers (392) Farmers, except horticultural (5512-5514) Communications equipment operators, n.e.c. (4733, 4739) Postal clerks, except mail carriers (4742) Managers, horticultural specialty farms (5525) managers, marketing, advertising, and public relations (125) Marine life cultivation workers (5618) Supervisors and Proprietors, Sales Occupations (40) History teachers (2222) Captains and other officers, fishing vessels (part 8241) Fishers (583) petroleum engineers (1625) Counselors, Educational and Vocational (24) Librarians (251) Photographers (326) Physicians (261) Dentists (262) No Not in Universe Yes Not imputed Statistical or logical imputation using previous wave data Statistical imputation (hot deck) Cold deck imputation Logical imputation (derivation) Not imputed Cold deck imputation Statistical imputation (hot deck) Logical imputation (derivation) Statistical or logical imputation using previous wave data Knitting, looping, taping, and weaving machine operators (7452, 7652) Shoe machine operators (7656) Supervisors, production occupations (67, 71) Tool and die makers (part 6811) Stock handlers and baggers (8724) Heavy equipment mechanics (6117) Industrial machinery repairers (613) Machinery maintenance occupations (614) Hhld appliance and power tool repairers (6156) Telephone line installers and repairers (6157) Sheet metal workers (part 6824) Miscellaneous electrical and electronic equipment repairers (6152, 6159) Sheriffs, bailiffs, and other law enforcement officers(5134) Miscellaneous hand working occupations (7758, 7759) Cooks (5214, 5215) Receptionists (4645) Miscellaneous food preparation occupations (5219) Health aides, except nursing (5233) Health record technologists and technicians (364) Personnel clerks, except payroll and timekeeping (4692) Stationary engineers (part 693, 7668) Electrical and electronic technicians (3711) Supervisors, personal service occupations (5251) Electrical power installers and repairers (6433) Billing clerks (4715) Biological technicians (382) Computer programmers (3971, 3972) Roofers (6468) Managers, horticultural specialty farms (5525) Biological science teachers (2213) Construction trades, n.e.c. (6467, 6475, 6476, 6479) Marine life cultivation workers (5618) Computer science teachers (2228) Insurance sales occupations (4122) Sales workers, parts (4367) Teachers, n.e.c. (236, 239) Demonstrators, promoters and models, sales (445) Archivists and curators (252) Economists (1912) Atmospheric and space scientists (1846) Geologists and geodesists (1847) Forestry and conservation scientists (1852) Actors and directors (324) Physicians (261) Driver-sales workers (8218) Parking lot attendants (874) Milling and planing machine operators (7313, 7513) Drilling and boring machine operators (7318, 7518) Forging machine operators (7319, 7519) Printing press operators (7443, 7643) Photoengravers and lithographers (6842, 7444, 7644) Automobile mechanics (part 6111) Pressing machine operators (7657) Helpers, extractive occupations (865) Construction laborers (871) Miscellaneous textile machine operators (7459, 7659) Machine feeders and offbearers (8725) Machinists (part 6813) Precision grinders, filers, and tool sharpeners (6816) Furnace, kiln, and oven operators, except food (7675) Hand packers and packagers (8761) Crushing and grinding machine operators (part 7477, part 7677) Slicing and cutting machine operators (7478, 7678) Private household cleaners and servants (502, 507, 509) Heating, air conditioning, and refrigeration mechanics (616) Welders and cutters (7332, 7532, 7714) Guards and police, except public service (5144) Typists (4624) Transportation ticket and reservation agents (4644) Supervisors, cleaning and building service workers (5241) Power plant operators (part 693) Pest control occupations (5246) Bookkeepers, accounting, and auditing clerks (4712) Chemical technicians (3831) Family child care providers (part 5264) Mail preparing and paper handling machine operators (4723) Horticultural specialty farmers (5515) Postal clerks, except mail carriers (4742) Managers, farms, except horticultural (5522-5524) Mail carriers, postal service (4743) Natural science teachers, n.e.c. (2216) managers, food serving and lodging establishments (1351) managers, properties and real estate (1353) Nursery workers (5619) Supervisors and Proprietors, Sales Occupations (40) Animal caretakers, except farm (5624) Graders and sorters, agricultural products (5625) Math. science teachers (2227) managers, service organizations, n.e.c. (127, 1352, 1354, part 1359) Investigators and adjusters, except insurance (4783) Business, commerce, and marketing teachers (2233) General office clerks (463) purch. agents and buyers, n.e.c. (1449) Bank tellers (4791) Data-entry keyers (4793) architects (161) Sales workers, other commodities (4345, 4347, 4354, 4356, 4359, 4362, 4369) surveyors and mapping scientists (164) Mathematical scientists, n.e.c. (1739) Biological and life scientists (1854) Photographers (326) Dentists (262) Athletes (34) Registered nurses (29) Pharmacists (301) Railroad brake, signal, and switch operators (8233) Punching and stamping press machine operators (7314, 7317, 7514, 7517) Fabricating machine operators, n.e.c. (7339, 7539) Supervisors, material moving equipment operators (812) Operating engineers (8312) Explosives workers (653) Supervisors, handlers, equipment cleaners, and laborers, n.e.c. (85) Mixing and blending machine operators (7664) Machinist apprentices (part 6813) Boilermakers (6814) Washing, cleaning, and pickling machine operators (7673) Garage and service station related occupations (873) Launderers and ironers (503) Engravers, metal (6823) Photographic process machine operators (6863, 6868, 7671) Supervisors, firefighting and fire prevention occupations(5111) Mechanical controls and valve repairers (6175) Correctional institution officers (5133) Crossing guards (5142) Supervisors, electricians and power transmission installers (6314) Kitchen workers, food preparation (5217) Msc precision workers, n.e.c. (6869) Waiters'/waitresses' assistants (5218) Information clerks, n.e.c. (4649) Carpenters (part 6422) Health technologists and technicians, n.e.c. (369) Hairdressers and cosmetologists (5253) Painters, construction and maintenance (6442) Duplicating machine operators (4722) Insulation workers (6465) Physics teachers (2215) Psychology teachers (2217) Political science teachers (2223) personnel, training, and labor relations specialists (143) purchasing agents and buyers, farm products (1443) Advertising and related sales occupations (4153) Hunters and trappers (584) Sales workers, shoes (4351) Law teachers (2243) Sales workers, furniture and home furnishings (4348) Social work teachers (2244) metallurgical and materials engineers (1623) petroleum engineers (1625) nuclear engineers (1627) Teachers, special education (235) Auctioneers (447) operations and systems researchers and analysts (172) Urban planners (192) Authors (321) Designers (322) Veterinarians (27) Respiratory therapists (3031) Supervisors, motor vehicle operators (8111) Motor transportation occupations, n.e.c. (8219) Set-up operators, lathe and turning machine (7312) Wood lathe, routing, and planing machine operators (7431, 7432, 7631, 7632) Grader, dozer, and scraper operators (8317) Winding and twisting machine operators (7451, 7651) Laundering and dry cleaning machine operators (6855, 7658) Bus, truck, and stationary engine mechanics (6112) Production helpers (861, 862) Packaging and filling machine operators (7462, 7662) Garbage collectors (8722) Automobile body and related repairers (6115) Precision assemblers, metal (6812) Compressing and compacting machine operators (7467, 7667) Folding machine operators (7474, 7674) Patternmakers and model makers, metal (6817) Miscellaneous machine operators, n.e.c. (part 7479, 7665, 7679) Hand molding, casting, and forming occupations (7754, 7755) Protective service occupations, n.e.c. (5149) Supervisors, distribution, scheduling, and adjusting clerks (4522, 4524-4528) Supervisors, brickmasons, stonemasons, and tile setters (6312) Supervisors, carpenters and related workers (6313) Production inspectors, checkers, and examiners (782, 787) Bartenders (5212) Food counter, fountain and related occupations (5216) Brickmasons and stonemasons (part 6412, part 6413) Bakers (6872) Dental hygienists (363) Order clerks (4664) Maids and housemen (5242, 5249) Water and sewage treatment plant operators (691) Elevator operators (5245) Industrial engineering technicians (3712) Miscellaneous plant and system operators (692, 694, 695, 696) Payroll and timekeeping clerks (4713) Guides (5255) Public transportation attendants (5257) Plasterers (6444) Billing, posting, and calculating machine operators (4718) Physical therapists (3033) Science technicians, n.e.c. (3832, 3833, 384, 389) Therapists, n.e.c. (3039) Child care workers, n.e.c. (part 5264) Air traffic controllers (392) Legal assistants (396) History teachers (2222) Groundskeepers and gardeners, except farm (5622) managers and administrators, n.e.c. (121, 126, 132-1343, 136-139) accountants and auditors (1412) underwriters (1414) Material recording, scheduling, and distributing clerks, n.e.c. (4759) Forestry workers, except logging (572) Sales engineers (421) Education teachers (2237) construction inspectors (1472) inspectors and compliance officers, except construction (1473) Management related occupations, n.e.c. (149) aerospace engineers(1622) Teachers, postsecondary, n.e.c. (2249) Teachers, prekindergarten and kindergarten (231) Engineers, electrical and electronic (1633, 1636) Engineers, industrial (1634) Counselors, Educational and Vocational (24) Psychologists (1915) Medical scientists (1855) Optometrists (281) Dancers (327) Dietitians (302) Occupational therapists (3032) Persons whose current labor force status is unemployed and last job was Armed Forces Truck drivers (8212-8214) Sailors and deckhands (8243) Shaping and joining machine operators (7435, 7635) Mining machine operators (654) Textile cutting machine operators (7654) Stevedores (8723) Farm equipment mechanics (6118) Painting and paint spraying machine operators (7669) Freight, stock, and material handlers, n.e.c. (8726) Telephone installers and repairers (6158) Motion picture projectionists (part 7479) Sheet metal wrker apprentices (part 6824) Supervisors, police and detectives (5112) Supervisors, guards (5113) Firefighting occupations (5123) Office machine repairers (6174) Assemblers (772, 774) Supervisors, financial records processing (4521) Upholsterers (6853) Shoe repairers (6854) Stenographers (4623) Production samplers and weighers (784) Supervisors, plumbers, pipefitters, and steamfitters (6316) Graders and sorters, except agricultural (785) Supervisors, construction, n.e.c. (6311, 6318) Not in Universe Inspectors, testers, and graders (6881, 828) Radiologic technicians (365) Carpenter apprentices (part 6422) Electrician apprentices (part 6432) Drafting occupations (372) Attendants, amusement and recreation facilities (5254) Paperhangers (6443) Plumbers, pipefitters, and steamfitters (part 645) Office machine operators, n.e.c. (4729) Physicians' assistants (304) Communications equipment operators, n.e.c. (4733, 4739) Sheetmetal duct installers (6472) Technicians, n.e.c. (399) Drillers, earth (6474) Chemistry teachers (2214) Admin, education and related fields (128) managers, medicine and health (131) Stock and inventory clerks (4754) Social science teachers, n.e.c. (2225) Engineering teachers (2226) other financial officers (1415, 1419) Medical science teachers (2231) Eligibility clerks, social welfare (4784) Sales workers, motor vehicles and boats (4342, 4344) Teachers' aides (4795) Sales workers, radio, Tv, hi-fi, and appliances (4343, 4352) Sales workers, hardware and building supplies (4353) mining engineers (1624) Teachers, elementary school (232) News vendors (4365) Engineers, mechanical (1635) marine and naval architects (1637) Sales support occupations, n.e.c. (444, 446, 449) Social scientists, n.e.c. (1913, 1914, 1919) Physicists and astronomers (1842, 1843) Clergy (2042) Public relations specialists (332) chief executives and general administrators, public administration (112) financial managers (122) Locomotive operating occupations (8232) Operators, lathe and turning machine (7512) Marine engineers (8244) Molding and casting machine operators (7315, 7342, 7515, 7542) Industrial truck and tractor equipment operators (8318) Miscellaneous printing machine operators (6849, 7449, 7649) Misc material moving equipment operators (8319) Textile sewing machine operators (7655) Helpers, mechanics, and repairers (863) Helpers, surveyor (8646) Extruding and forming machine operators (7463, 7663) Tool and die mkr apprentices (part 6811) Separating, filtering, and clarifying machine operators (7476, 7666, 7676) Roasting and baking machine operators, food (7472, 7672) Vehicle washers and equipment cleaners (875) Cooks, private household (504) Lay-out workers (6821) Furniture and wood finishers (6835) Solderers and brazers (7333, 7533, 7717) Supervisors, computer equipment operators (4512) Tailors (part 6852) Specified mechanics and repairers, n.e.c. (6177, 6179) Hand painting, coating, and decorating occupations (7756) Not specified mechanics and repairers Hand molders and shapers, except jewelers (6861) Secretaries (4622) Production testers (783) Dental laboratory and medical appliance technicians (6865) Interviewers (4642) Tile setters, hard and soft (part 6414, part 6462) Butchers and meat cutters (6871) Clinical laboratory technologists and technicians (362) Classified-ad clerks (4662) Correspondence clerks (4663) Library clerks (4694) Adjusters and calibrators (6882) Electricians (part 6432) Mechanical engineering technicians (3713) Ushers (5256) Baggage porters and bellhops (5262) Personal service occupations, n.e.c. (5258, 5269) Paving, surfacing, and tamping equipment operators (6466) Messengers (4745) managers, marketing, advertising, and public relations (125) funeral directors (part 1359) Supervisors, related agricultural occupations (5621) Sociology teachers (2224) Timber cutting and logging occupations (573, 579) Securities and financial services sales occupations (4124) Fishers (583) Sales occupations, other business services (4152) Physical education teachers (2236) Proofreaders (4792) Sales workers, apparel (4346) Foreign language teachers (2242) Theology teachers (2245) Trade and industrial teachers (2246) Street and door-to-door sales workers (4366) Teachers, secondary school (233) civil engineers (1628) Librarians (251) Actuaries (1732) Physical scientists, n.e.c. (1849) Technical writers (398) Musicians and composers (323) Painters, sculptors, craft-artists, and artist printmakers (325) Podiatrists (283) Artists, performers, and related workers, n.e.c. (328,329) Editors and reporters (331) Announcers (333) administrators and officials, public administration (1132-1139) personnel and labor relations managers (123) purchasing managers (124) Taxicab drivers and chauffeurs (8216) Railroad conductors and yardmasters (8113) Rail vehicle operators, n.e.c. (8239) Rolling machine operators (7316, 7516) Bridge, lock, and lighthouse tenders (8245) Numerical control machine operators (7326) Miscellaneous metal, plastic, stone, and glass working machine operators (7329, 7529) Hoist and winch operators (8314) Crane and tower operators (8315) Aircraft engine mechanics (6113) Small engine repairers (6114) Cementing and gluing machine operators (7661) Aircraft mechanics, except engine (6116) Electronic repairers, communications and industrial equipment (6151, 6153, 6155) Precious stones and metals workers (Jewelers) (6822, 6866) Misc precision metal workers (6829) Patternmkrs and model makers, wood (6831) Machine operators, not specified Misc precision woodworkers (6839) Elevator installers and repairers (6176) Millwrights (6178) Supervisors, general office (4511, 4513, 4514, 4516, 4519, 4529) Dressmakers (part 6852, part 7752) Chief communications operators (4523) Misc precision apparel and fabric workers (6856, 6859, part 7752) Waiters and waitresses (5213) Optical goods workers (6864, part 7477, part 7677) Hotel clerks (4643) Electrical/electronic equipment assemblers (6867) Food batchmakers (6873, 6879) File clerks (4696) Speech therapists (3034) Concrete and terrazzo finishers (6463) Glaziers (6464) Broadcast equipment operators (393) Farmers, except horticultural (5512-5514) Tool programmers, numerical control (3974) Earth, environmental, and marine science teachers (2212) Structural metal workers (6473) Mail clerks, except postal service (4744) Farm workers (5612-5617) Traffic, shipping, and receiving clerks (4753) Weighers, measurers, checkers, and samplers (4756, 4757) Expediters (4758) Supervisors, forestry and logging workers (571) Health specialties teachers (2232) Captains and other officers, fishing vessels (part 8241) Bill and account collectors (4786) Statistical clerks (4794) chemical engineers (1626) Postsecondary teachers, subject not specified Cashiers (4364) engineers, n.e.c. (1639) computer systems analysts and scientists (171) Statisticians (1733) Social workers (2032) Recreation workers (2033) Health diagnosing practitioners, n.e.c. (289) administrators, protective services (1131) Grinding, abrading, buffing, and polishing machine operators (7322, 7324, 7522) Heat treating equipment operators (7344, 7544) Longshore equipment operators (8313) Sawing machine operators (7433, 7633) Excavating and loading machine operators (8316) Miscellaneous woodworking machine operators (7434, 7439, 7634, 7639) Supervisors, extractive occupations (632) Drillers, oil well (652) Typesetters and compositors (6841, 7642) Mining occupations, n.e.c. (656) Supervisors, mechanics and repairers (60) Helpers, construction trades (8641-8645, 8648) Auto mechanic apprentices (part 6111) Data processing equipment repairers (6154) Housekeepers and butlers (505) Laborers, except construction (8769) Child care workers, private household (506) Camera, watch, and musical instrument repairers (6171, 6172) Locksmiths and safe repairers (6173) Cabinet makers and bench carpenters (6832) Fire inspection and fire prevention occupations (5122) Police and detectives, public service (5132) Hand cutting and trimming occupations (7753) Computer operators (4612) Peripheral equipment operators (4613) Hand engraving and printing occupations (7757) Supervisors, food preparation and service occupations (5211) Patternmakers, lay-out workers, and cutters (6862) Supervisors, painters, paperhangers, and plasterers (6315) Bookbinders (6844) Brickmason and stonemason apprentices (part 6412, part 6413) Dental assistants (5232) Carpet installers (part 6462) Nursing aides, orderlies, and attendants (5236) Licensed practical nurses (366) Drywall installers (6424) Janitors and cleaners (5244) Records clerks (4699) Barbers (5252) Engineering technicians, n.e.c. (3719) Surveying and mapping technicians (373) Cost and rate clerks (4716) Welfare service aides (5263) Plumber, pipefitter, and steamfitter apprentices (part 645) Early childhood teacher's assistants (part 5264) Airplane pilots and navigators (825) Telephone operators (4732) Supervisors, farm workers (5611) Dispatchers (4751) Economics teachers (2218) Production coordinators (4752) Meter readers (4755) Inspectors, agricultural products (5627) management analysts (142) buyers, wholesale and retail trade except farm products (1442) Real estate sales occupations (4123) Insurance adjusters, examiners, and investigators (4782) Agriculture and forestry teachers (2234) Art, drama, and music teachers (2235) Sales representatives, mining, manufacturing, and wholesale (423, 424) business and promotion agents (145) English teachers (2238) Administrative support occupations, n.e.c. (4787, 4799) Home economics teachers (2247) Sales counter clerks (4363) agricultural engineers (1632) Sociologists (1916) Religious workers, n.e.c. (2049) Lawyers and Judges (211, 212) Chemists, except biochemists (1845) Agricultural and food scientists (1853) Bus drivers (8215) Ship captains and mates, except fishing boats (part 8241, 8242) Metal plating machine operators (7343, 7543) Misc metal and plastic processing machine operators (7349, 7549) Nailing and tacking machine operators (7636) Logical imputation (derivation) Not imputed Statistical imputation (hot deck) Statistical or logical imputation using previous wave data Cold deck imputation Bermuda Missouri New York Rhode Island Washington Israel Cuba Dominica Dominican Republic Maine, Vermont Austria Belgium Malaysia Puerto Rico Greece Hungary Taiwan Arkansas Norway Poland Colorado Pacific Islands DC Romania Georgia Colombia Great Britain Kansas Northern Ireland Maryland Montana New Jersey El Salvador Ohio Morocco Panama South Africa Other Africa Thailand Holland Middle East Chile Ghana Nevada North Carolina Guatemala Nicaragua Oklahoma Utah Hong Kong Wisconsin Barbados USSR Latvia Guam Philippines Alaska Azores Florida Illinois Egypt Ethiopia Scotland Louisiana Venezuela Michigan Yugoslavia Canada Mississippi North America Kenya Slovakia/Slovak Republic Belize Afghanistan Tennessee Texas Bangladesh China Iraq North Dakota, South Dakota, Wyoming Jamaica North Africa New Zealand Spain Sweden England Massachusetts Europe New Hampshire Czech Republic Elsewhere Honduras Not in Universe Oregon Virginia Lithuania Grenada Lao Australia Pakistan France Trinidad and Tobago Germany Caribbean Singapore Alabama Delaware Bolivia Brazil Uruguay Nebraska Costa Rica Mexico Nigeria Cambodia West Virginia Indonesia Japan Korea/South Korea American Samoa Denmark Fiji U.S. Virgin Islands Saudi Arabia Vietnam Asia Idaho Switzerland Indiana Burma India Iran Jordan Lebanon Finland Russia Ukraine Syria Ireland/Eire California Portugal Palestine Argentina Hawaii Iowa Ecuador Kentucky Peru South America Minnesota New Mexico Central America Pennsylvania South Carolina Bahamas Armenia Haiti Czechoslovakia Turkey Italy Arizona Connecticut Guyana Cold deck imputation Logical imputation (derivation) Statistical or logical imputation using previous wave data Not imputed Statistical imputation (hot deck) Cold deck imputation Logical imputation (derivation) Statistical imputation (hot deck) Statistical or logical imputation using previous wave data Not imputed Statistical imputation (hot deck) Statistical or logical imputation using previous wave data Not imputed Cold deck imputation Logical imputation (derivation) Not imputed Statistical or logical imputation using previous wave data Cold deck imputation Statistical imputation (hot deck) Logical imputation (derivation) Statistical imputation (hot deck) Cold deck imputation Logical imputation (derivation) Not imputed Statistical or logical imputation using previous wave data None or not in universe Amount in dollars Statistical imputation (hot deck) Cold deck imputation Logical imputation (derivation) Statistical or logical imputation using previous wave data Not imputed Longitudinal statistical imputation (hot deck) Statistical imputation (hot deck) Statistical or logical imputation using previous wave data Not imputed Cold deck imputation Logical imputation (derivation) Longitudinal logical imputation (derivation) No payment received Not in Universe Suvivor Half brother/sister Self Other parent Grandparent Nephew/niece Not in Universe Biological child Unmarried partner Foster parent Spouse Adopted child Biological brother/sister Biological parent Adopted brother/sister Step and adoptive parent Other brother/sister Adoptive parent Grandchild Paid employee Other child Stepchild Daughter/son-in-law Other relative Roommate/housemate Brother/sister-in-law Stepparent Roomer/boarder Other non-relative Step and adopted child Foster child Father/mother-in-law Step brother/sister Uncle/aunt Daughter/son-in-law Adoptive parent Adopted child Brother/sister-in-law Adopted brother/sister Nephew/niece Step and adopted child Half brother/sister Stepparent Step and adoptive parent Foster parent Roommate/housemate Biological child Other non-relative Foster child Other child Biological parent Step brother/sister Other parent Grandparent Grandchild Spouse Father/mother-in-law Self Other brother/sister Not in Universe Roomer/boarder Uncle/aunt Unmarried partner Biological brother/sister Other relative Paid employee Stepchild Brother/sister-in-law Adopted brother/sister Other parent Uncle/aunt Nephew/niece Adopted child Step and adopted child Stepparent Daughter/son-in-law Biological brother/sister Roomer/boarder Spouse Half brother/sister Biological parent Other relative Step and adoptive parent Roommate/housemate Grandparent Paid employee Step brother/sister Stepchild Other child Father/mother-in-law Self Other brother/sister Adoptive parent Foster parent Not in Universe Grandchild Biological child Unmarried partner Foster child Other non-relative Other parent Paid employee Other non-relative Father/mother-in-law Step brother/sister Stepparent Adopted brother/sister Foster parent Roommate/housemate Grandparent Other child Self Step and adoptive parent Daughter/son-in-law Adoptive parent Grandchild Nephew/niece Unmarried partner Foster child Other relative Uncle/aunt Biological brother/sister Stepchild Step and adopted child Spouse Half brother/sister Not in Universe Roomer/boarder Adopted child Brother/sister-in-law Biological parent Other brother/sister Biological child Biological brother/sister Other parent Biological child Spouse Unmarried partner Other child Daughter/son-in-law Step and adopted child Step brother/sister Uncle/aunt Other non-relative Adopted child Other brother/sister Grandparent Brother/sister-in-law Half brother/sister Adopted brother/sister Step and adoptive parent Adoptive parent Foster child Father/mother-in-law Biological parent Not in Universe Roommate/housemate Roomer/boarder Grandchild Stepparent Other relative Foster parent Paid employee Nephew/niece Self Stepchild Brother/sister-in-law Adopted brother/sister Other relative Grandparent Paid employee Uncle/aunt Other non-relative Father/mother-in-law Step and adoptive parent Foster parent Stepchild Step brother/sister Other brother/sister Grandchild Adopted child Foster child Adoptive parent Roomer/boarder Nephew/niece Unmarried partner Roommate/housemate Other child Daughter/son-in-law Biological parent Stepparent Biological brother/sister Half brother/sister Other parent Not in Universe Biological child Step and adopted child Spouse Self Father/mother-in-law Biological brother/sister Adopted brother/sister Other relative Not in Universe Roommate/housemate Roomer/boarder Other non-relative Step and adopted child Adopted child Brother/sister-in-law Spouse Unmarried partner Biological parent Foster parent Biological child Uncle/aunt Daughter/son-in-law Step brother/sister Stepparent Self Step and adoptive parent Grandchild Paid employee Stepchild Other child Half brother/sister Other brother/sister Adoptive parent Grandparent Nephew/niece Other parent Foster child Adopted child Step brother/sister Step and adopted child Spouse Foster child Father/mother-in-law Half brother/sister Biological parent Step and adoptive parent Foster parent Nephew/niece Roommate/housemate Roomer/boarder Paid employee Daughter/son-in-law Adopted brother/sister Other relative Uncle/aunt Stepchild Other non-relative Other parent Biological child Stepparent Self Grandparent Grandchild Adoptive parent Not in Universe Unmarried partner Other child Biological brother/sister Brother/sister-in-law Other brother/sister Logical imputation (derivation) Statistical imputation (hot deck) Cold deck imputation Statistical or logical imputation using previous wave data Not imputed Step and adopted child Adopted child Half brother/sister Spouse Father/mother-in-law Other brother/sister Grandparent Paid employee Biological child Uncle/aunt Other relative Step and adoptive parent Grandchild Stepchild Adoptive parent Nephew/niece Foster child Other child Brother/sister-in-law Stepparent Foster parent Other parent Biological parent Step brother/sister Not in Universe Roommate/housemate Unmarried partner Daughter/son-in-law Self Roomer/boarder Biological brother/sister Adopted brother/sister Other non-relative Father/mother-in-law Daughter/son-in-law Adopted brother/sister Other brother/sister Biological parent Brother/sister-in-law Biological child Unmarried partner Foster child Other child Step brother/sister Step and adoptive parent Other parent Not in Universe Roommate/housemate Roomer/boarder Nephew/niece Adopted child Self Grandchild Paid employee Step and adopted child Biological brother/sister Other relative Adoptive parent Uncle/aunt Stepparent Grandparent Stepchild Spouse Half brother/sister Foster parent Other non-relative Separated or divorced from spouse/parent Just got around to applying Just learned about program Began receiving for another dependent Loss of job/wages/other income Pregnancy/birth of child Not in Universe Loss of other support income Became disabled Other, specify Pregnancy/birth of child Just got around to applying Became disabled Separated or divorced from spouse/parent Loss of other support income Other, specify Just learned about program Not in Universe Began receiving for another dependent Loss of job/wages/other income Final person weight Statistical imputation(hot deck) Logical imputation(derivation) Statistical or logical imputation using previous wave data Not imputed Cold deck imputation Statistical or logical imputation using previous wave data Cold deck imputation Not imputed Statistical imputation (hot deck) Logical imputation (derivation) Statistical or logical imputation using previous wave data Statistical imputation(hot deck) Cold deck imputation Not imputed Logical imputation(derivation) Cold deck imputation Not imputed Logical imputation (derivation) Statistical imputation (hot deck) Statistical or logical imputation using previous wave data Statistical imputation(hot deck) Not imputed Logical imputation(derivation) Cold deck Cold deck Not imputed Statistical imputation(hot deck) Logical imputation(derivation) No children Not in Universe Number of children Spouse Father/mother-in-law Biological parent Foster parent Grandchild Stepparent Uncle/aunt Nephew/niece Step and adopted child Biological brother/sister Other relative Other parent Roommate/housemate Grandparent Roomer/boarder Paid employee Other child Other brother/sister Biological child Adopted child Daughter/son-in-law Half brother/sister Step brother/sister Step and adoptive parent Adoptive parent Other non-relative Brother/sister-in-law Self Stepchild Unmarried partner Foster child Adopted brother/sister Not in Universe Not imputed Statistical imputation (hot deck) Cold deck imputation Logical imputation (derivation) Statistical or logical imputation using previous wave data Self Grandchild Biological child Other non-relative Adopted child Unmarried partner Stepparent Foster parent Nephew/niece Other child Biological brother/sister Step brother/sister Adopted brother/sister Other relative Other brother/sister Other parent Brother/sister-in-law Half brother/sister Roommate/housemate Foster child Father/mother-in-law Uncle/aunt Grandparent Roomer/boarder Paid employee Step and adopted child Spouse Daughter/son-in-law Not in Universe Stepchild Biological parent Step and adoptive parent Adoptive parent None or not in universe Dollars Other child Unmarried partner Foster child Half brother/sister Step brother/sister Not in Universe Brother/sister-in-law Biological parent Other relative Self Other brother/sister Paid employee Uncle/aunt Father/mother-in-law Step and adoptive parent Foster parent Other parent Grandparent Roomer/boarder Nephew/niece Stepparent Adoptive parent Grandchild Adopted child Adopted brother/sister Biological child Other non-relative Step and adopted child Stepchild Spouse Daughter/son-in-law Biological brother/sister Roommate/housemate Not in Universe Person became limited before age 16 Year the person became limited Father/mother-in-law Stepparent Biological child Nephew/niece Other child Roomer/boarder Grandchild Stepchild Other non-relative Daughter/son-in-law Brother/sister-in-law Self Foster child Other parent Not in Universe Step and adopted child Unmarried partner Adopted brother/sister Foster parent Roommate/housemate Uncle/aunt Spouse Biological parent Step brother/sister Other brother/sister Adoptive parent Paid employee Adopted child Biological brother/sister Half brother/sister Other relative Step and adoptive parent Grandparent Statistical or logical imputation using previous wave data Cold deck imputation Not imputed Statistical imputation (hot deck) Logical imputation (derivation) Step and adoptive parent Foster parent Stepchild Step and adopted child Daughter/son-in-law Half brother/sister Foster child Grandparent Grandchild Adopted child Unmarried partner Biological parent Adopted brother/sister Other parent Other child Father/mother-in-law Stepparent Adoptive parent Not in Universe Roommate/housemate Paid employee Biological child Other non-relative Spouse Brother/sister-in-law Other relative Roomer/boarder Uncle/aunt Nephew/niece Biological brother/sister Other brother/sister Step brother/sister Self Foster child Unmarried partner Step and adopted child Half brother/sister Biological parent Roomer/boarder Uncle/aunt Nephew/niece Biological brother/sister Self Grandparent Grandchild Paid employee Biological child Other child Step brother/sister Roommate/housemate Daughter/son-in-law Other relative Other brother/sister Not in Universe Stepchild Brother/sister-in-law Stepparent Step and adoptive parent Foster parent Other non-relative Spouse Adopted child Father/mother-in-law Adopted brother/sister Adoptive parent Other parent Logical imputation (derivation) Cold deck imputation Statistical imputation (hot deck) Statistical or logical imputation using previous wave data Not imputed Other parent Step and adopted child Stepparent Step and adoptive parent Foster parent Grandchild Stepchild Spouse Brother/sister-in-law Half brother/sister Biological parent Roommate/housemate Roomer/boarder Biological brother/sister Step brother/sister Other relative Biological child Other non-relative Other child Grandparent Adopted child Foster child Adoptive parent Not in Universe Paid employee Father/mother-in-law Other brother/sister Nephew/niece Unmarried partner Daughter/son-in-law Adopted brother/sister Self Uncle/aunt Not imputed Cold deck imputation Logical imputation (derivation) Statistical or logical imputation using previous wave data Statistical imputation (hot deck) Step and adopted child Biological parent Roommate/housemate Stepchild Spouse Other child Brother/sister-in-law Half brother/sister Adopted brother/sister Unmarried partner Foster child Stepparent Biological child Step brother/sister Self Other parent Not in Universe Other non-relative Adopted child Step and adoptive parent Foster parent Grandchild Nephew/niece Father/mother-in-law Daughter/son-in-law Adoptive parent Grandparent Roomer/boarder Biological brother/sister Paid employee Uncle/aunt Other relative Other brother/sister Statistical imputation (hot deck) Statistical or logical imputation using previous wave data Not imputed Cold deck imputation Logical imputation (derivation) Not In Universe Person number No payment Disability and Suvivor Disability Suvivor Not in Universe Not In Universe Person number To help ... in looking for a job(ex:job search skills) To teach ... skills for a specific job/career Not in Universe Father/mother-in-law Daughter/son-in-law Biological parent Step brother/sister Other relative Adoptive parent Nephew/niece Spouse Adopted child Other child Brother/sister-in-law Stepparent Self Step and adoptive parent Unmarried partner Not in Universe Stepchild Step and adopted child Adopted brother/sister Other brother/sister Roommate/housemate Roomer/boarder Paid employee Other non-relative Foster parent Foster child Biological brother/sister Other parent Grandparent Uncle/aunt Half brother/sister Grandchild Biological child Biological child Nephew/niece Spouse Other child Biological brother/sister Half brother/sister Other parent Roomer/boarder Other non-relative Adopted brother/sister Other relative Step and adoptive parent Grandparent Step and adopted child Adoptive parent Grandchild Stepchild Unmarried partner Foster child Daughter/son-in-law Step brother/sister Stepparent Paid employee Brother/sister-in-law Self Not in Universe Uncle/aunt Adopted child Father/mother-in-law Biological parent Other brother/sister Foster parent Roommate/housemate Logical imputation(derivation) Not imputed Cold deck imputation Statistical imputation(hot deck) Statistical or logical imputation using previous wave data Stratum Code Yes Not in universe or not applicable None or not in universe Dollars Yes, foreign-born, naturalized citizen No, foreign-born, not a naturalized citizen Yes, native Not in Universe Daughter/son-in-law Stepparent Self Step and adoptive parent Uncle/aunt Other relative Other brother/sister Foster parent Grandparent Paid employee Adopted brother/sister Other parent Foster child Half brother/sister Not in Universe Father/mother-in-law Biological parent Step brother/sister Stepchild Unmarried partner Brother/sister-in-law Nephew/niece Step and adopted child Adoptive parent Grandchild Spouse Adopted child Other child Biological brother/sister Roommate/housemate Roomer/boarder Biological child Other non-relative Logical imputation(derivation) Cold deck Not imputed Statistical imputation(hot deck) Half brother/sister Roommate/housemate Paid employee Unmarried partner Foster child Daughter/son-in-law Brother/sister-in-law Step brother/sister Other relative Foster parent Stepchild Nephew/niece Adoptive parent Step and adopted child Stepparent Self Step and adoptive parent Uncle/aunt Father/mother-in-law Other brother/sister Other parent Grandchild Adopted child Not in Universe Grandparent Roomer/boarder Spouse Other child Adopted brother/sister Biological child Other non-relative Biological brother/sister Biological parent Step and adoptive parent Other parent Roomer/boarder Step and adopted child Unmarried partner Father/mother-in-law Adoptive parent Paid employee Brother/sister-in-law Other brother/sister Foster parent Nephew/niece Biological brother/sister Biological parent Stepparent Stepchild Foster child Other child Step brother/sister Not in Universe Roommate/housemate Biological child Daughter/son-in-law Adopted brother/sister Grandparent Uncle/aunt Spouse Grandchild Adopted child Half brother/sister Other relative Self Other non-relative Step brother/sister Roomer/boarder Step and adopted child Father/mother-in-law Stepchild Not in Universe Grandchild Spouse Adopted child Foster child Stepparent Self Other parent Roommate/housemate Unmarried partner Brother/sister-in-law Adopted brother/sister Foster parent Uncle/aunt Nephew/niece Half brother/sister Other brother/sister Grandparent Paid employee Biological child Step and adoptive parent Adoptive parent Other child Daughter/son-in-law Biological brother/sister Biological parent Other relative Other non-relative None or not in universe Amount in dollars Adopted child Daughter/son-in-law Adopted brother/sister Step and adoptive parent Other brother/sister Foster parent Grandparent Step and adopted child Foster child Roommate/housemate Other child Brother/sister-in-law Half brother/sister Stepparent Other relative Self Other parent Stepchild Other non-relative Adoptive parent Roomer/boarder Paid employee Unmarried partner Biological brother/sister Biological parent Step brother/sister Uncle/aunt Father/mother-in-law Grandchild Nephew/niece Not in Universe Biological child Spouse Spouse Half brother/sister Biological parent Other relative Step and adoptive parent Biological child Step and adopted child Adopted child Step brother/sister Self Other brother/sister Other parent Not in Universe Paid employee Other child Grandparent Foster child Father/mother-in-law Stepparent Daughter/son-in-law Roommate/housemate Unmarried partner Biological brother/sister Brother/sister-in-law Adoptive parent Grandchild Uncle/aunt Stepchild Nephew/niece Other non-relative Adopted brother/sister Foster parent Roomer/boarder Spouse Foster child Daughter/son-in-law Other brother/sister Other parent Roommate/housemate Step and adopted child Biological parent Other relative Unmarried partner Adopted brother/sister Self Foster parent Grandchild Biological brother/sister Step and adoptive parent Grandparent Other child Step brother/sister Adoptive parent Biological child Stepchild Father/mother-in-law Brother/sister-in-law Half brother/sister Paid employee Uncle/aunt Stepparent Not in Universe Roomer/boarder Other non-relative Adopted child Nephew/niece Not imputed Logical imputation (derivation) Statistical or logical imputation using previous wave data Longitudinal logical imputation (derivation) Longitudinal statistical imputation (hot deck) Statistical imputation (hot deck) Cold deck imputation Unmarried partner Half brother/sister Adoptive parent Roomer/boarder Stepchild Biological brother/sister Other relative Self Nephew/niece Other non-relative Other child Other parent Spouse Brother/sister-in-law Stepparent Paid employee Biological child Father/mother-in-law Biological parent Step brother/sister Foster parent Roommate/housemate Uncle/aunt Step and adopted child Grandchild Foster child Adopted brother/sister Step and adoptive parent Not in Universe Grandparent Adopted child Daughter/son-in-law Other brother/sister Adopted child Biological brother/sister Brother/sister-in-law Foster parent Grandchild Step brother/sister Adoptive parent Other child Uncle/aunt Other non-relative Other relative Step and adoptive parent Other parent Stepchild Step and adopted child Biological parent Adopted brother/sister Unmarried partner Daughter/son-in-law Half brother/sister Stepparent Self Roommate/housemate Grandparent Spouse Foster child Other brother/sister Not in Universe Roomer/boarder Nephew/niece Father/mother-in-law Paid employee Biological child Dollar amount Cold deck imputation Statistical or logical imputation using previous wave data Logical imputation (derivation) Statistical imputation (hot deck) Not imputed Not in Universe Number of weeks in the reference period Cold deck imputation Statistical or logical imputation using previous wave data Statistical imputation (hot deck) Not imputed Logical imputation (derivation) Logical imputation (derivation) Not imputed Statistical imputation (hot deck) Statistical or logical imputation using previous wave data Cold deck imputation None or not in universe Dollars Not in Universe Yes No None or not in universe Dollars Cold deck imputation Logical imputation(derivation) Statistical or logical imputation using previous wave data Statistical imputation(hot deck) Not imputed Not imputed Cold deck imputation Statistical imputation(hot deck) Logical imputation(derivation) Statistical or logical imputation using previous wave data None or not in universe Amount in dollars Cold deck Statistical imputation(hot deck) Not imputed Logical imputation(derivation) Yes Not in Universe No Community service or an unpaid job Not in Universe Some other kind of job-training activity Yes No Not in Universe Tennessee Utah Missouri West Virginia Illinois Indiana Oregon Massachusetts Virginia New York Oklahoma Alaska Minnesota Connecticut Montana Delaware Wisconsin Iowa Maine, Vermont Arizona Michigan Arkansas Mississippi Nebraska New Hampshire New Mexico Kentucky Louisiana Texas Colorado Idaho Ohio South Carolina North Dakota, South Dakota, Wyoming Kansas Alabama Maryland California Washington New Jersey Georgia Hawaii North Carolina Rhode Island Nevada D.C. Florida Pennsylvania None or not in universe Dollars Cold deck imputation Logical imputation (derivation) Statistical imputation (hot deck) Statistical or logical imputation using previous wave data Not imputed Cold deck imputation Not imputed Statistical or logical imputation using previous wave data Logical imputation(derivation) Statistical imputation(hot deck) Cold deck imputation Not imputed Statistical imputation(hot deck) Logical imputation(derivation) Statistical or logical imputation using previous wave data Not in Universe No Yes Not in Universe Yes No Child (Under 15 years of age) Adult (15 years of age or older) None or not in universe Amount in dollars Statistical imputation (hot deck) Logical imputation (derivation) Statistical or logical imputation using previous wave data Not imputed Cold deck imputation Not imputed Cold deck imputation Statistical or logical imputation using previous wave data Statistical imputation (hot deck) Logical imputation (derivation) Dollar amount Yes No Not in Universe Statistical imputation(hot deck) Cold deck Logical imputation(derivation) Not imputed Yes No Not in Universe Always lived there Respondent didn't supply valid month Not in Universe Month moved into the current home Not in Universe Number of child(ren) Not in Universe No Yes Not In Universe Household Address ID Statistical or logical imputation using previous wave data Statistical imputation (hot deck) Not imputed Cold deck imputation Logical imputation (derivation) Not in Universe Business ID Not in Universe Family ID number Less than 1 full day More than 1 week Currently in training Not in Universe 1 Day to 1 week Statistical imputation (hot deck) Cold deck imputation Not imputed Logical imputation (derivation) Statistical or logical imputation using previous wave data No Not in Universe Yes Not imputed Statistical imputation(hot deck) Logical imputation(derivation) Cold deck Not in Universe Business ID Male Headed Female Headed Not in Universe Headed by Husband/Wife No Yes Not in Universe Dollar amount None or not in universe Amount in dollars Disability and retirement Disability and Survivor Not in Universe Retirement and survivor Disability, retirement, and survivor Retirement Disability Survivor No payment received Suppressed Suppressed Lesser skill/responsibility About the same Greater skill/responsibility Not in Universe Statistical imputation (hot deck) Logical imputation (derivation) Statistical or logical imputation using previous wave data Not imputed Cold deck imputation Statistical or logical imputation using previous wave data Cold deck imputation Not imputed Logical imputation (derivation) Statistical imputation (hot deck) Suppressed Statistical or logical imputation using previous wave data Statistical imputation (hot deck) Logical imputation (derivation) Longitudinal logical imputation (derivation) Not imputed Cold deck imputation Longitudinal statistical imputation (hot deck) Cold deck imputation Statistical or logical imputation using previous wave data Not imputed Statistical imputation (hot deck) Logical imputation (derivation) Not in Universe Yes No Not imputed Statistical or logical imputation using previous wave data Cold deck imputation Logical imputation (derivation) Statistical imputation (hot deck) Not in Universe Yes No Yes No Not in Universe No Yes Not in Universe Pay level increased Not in Universe Pay level stayed the same Pay level decreased Not in Universe Yes No Yes No Not in Universe Not imputed Statistical imputation(hot deck) Logical imputation(derivation) Cold deck Yes Not in Universe No Other, specify Because of family changes Became Ineligible because program requirements not met Not in Universe Became ineligible because of increased income Eligibility ran out because of time limits Still eligible but could/chose not to collect Yes No Not in Universe Biological or natural child Stepchild Adopted child Not in Universe Eligibility ran out because of time limits Because of family changes Still eligible but could/chose not to collect Not in Universe Other, specify Became Ineligible because program requirements not met Became ineligible because of increased income Yes No Not in Universe Suppressed Panel Year Not imputed Cold deck imputation Statistical or logical imputation using previous wave data Statistical imputation (hot deck) Logical imputation (derivation) Not imputed Cold deck imputation Logical imputation (derivation) Statistical or logical imputation using previous wave data Statistical imputation (hot deck) College year 2 (sophomore) Not in Universe Enrolled in college, but not working towards a degree Elementary grades 1-8 High school grades 9-12 College year 5 (first year graduate or professional school) Vocational, technical, or business school beyond high school level College year 1 (freshman) College year 3 (junior) College year 4 (senior) College year 6+ (second year or higher in grad or professional school) Loss of other support income Separated or divorced from spouse/parent Just learned about program Other, specify Began receiving for another dependent Not in Universe Loss of job/wages/other income Pregnancy/birth of child Just got around to applying Became disabled Person weight for family reference person Loss of other support income Separated or divorced from spouse/parent Not in Universe Just learned about program Other, specify Became disabled Pregnancy/birth of child Began receiving for another dependent Loss of job/wages/other income Just got around to applying None or not in universe Dollars Eligibility ran out because of time limits Not in Universe Became ineligible because of increased income Other, specify Still eligible but could/chose not to collect Because of family changes Became Ineligible because program requirements not met Not imputed Statistical imputation (hot deck) Logical imputation (derivation) Cold deck imputation Statistical or logical imputation using previous wave data Not in Universe Became ineligible because of increased income Because of family changes Became Ineligible because program requirements not met Still eligible but could/chose not to collect Eligibility ran out because of time limits Other, specify Not in Universe No payment Disability Cold deck imputation Not imputed Statistical imputation(hot deck) Logical imputation(derivation) Statistical or logical imputation using previous wave data Not in Universe Family ID number None or not in universe Dollars Logical imputation(derivation) Cold deck Not imputed Statistical imputation(hot deck) Imputed based on previous wave data Not in Universe Yes No Yes Not in Universe No Cold deck Logical imputation(derivation) Not imputed Statistical imputation(hot deck) Yes Not in Universe No Logical imputation (derivation) Cold deck imputation Not imputed Statistical imputation (hot deck) Statistical or logical imputation using previous wave data Logical imputation Statistical or logical imputation using previous wave data Statistical imputation (hot deck) Not imputed Cold deck imputation No Yes Not in Universe Statistical imputation (hot deck) Logical imputation (derivation) Statistical or logical imputation using previous wave data Cold deck imputation Longitudinal statistical imputation (hot deck) Longitudinal logical imputation (derivation) Not imputed Not in Universe Year received high school diploma None or not in universe Dollar amount Cold deck imputation Statistical imputation (hot deck) Not imputed Logical imputation (derivation) Statistical or logical imputation using previous wave data Yes No Not in Universe Not imputed Logical imputation(derivation) Statistical imputation(hot deck) Cold deck Suppressed Not in Universe Date Cold deck Not imputed Statistical imputation(hot deck) Logical imputation(derivation) Not in Universe Date Dollar amount Dollar amount Yes Not in Universe No No Yes Not in Universe No Not in Universe Yes No Not in Universe Yes Not in Universe Year received bachelor degree Yes Not in Universe No No Yes Not in Universe Not in Universe Yes No Not imputed Logical imputation (derivation) Statistical or logical imputation using previous wave data Cold deck imputation Statistical imputation (hot deck) No Not in Universe Yes Logical imputation(derivation) Not imputed Statistical imputation(hot deck) Cold deck No Yes Not in Universe Yes No Not in Universe None or not in universe Dollars Yes Not in Universe No No Yes Not in Universe Statistical imputation(hot deck) Cold deck Imputed based on previous wave data Logical imputation(derivation) Not imputed Not in Universe 1990 Not in Universe Yes, covered No, not covered Statistical imputation(hot deck) Logical imputation(derivation) Not imputed Cold deck imputation Statistical or logical imputation using previous wave data Cold deck imputation Logical imputation(derivation) Statistical or logical imputation using previous wave data Statistical imputation(hot deck) Not imputed Not in Universe Training time in weeks Statistical imputation (hot deck) Statistical or logical imputation using previous wave data Cold deck imputation Not imputed Logical imputation (derivation) Statistical imputation (hot deck) Not imputed Cold deck imputation Statistical or logical imputation using previous wave data Logical imputation (derivation) Not in Universe Length of training in weeks Yes No Not in Universe Number of children No Not in Universe Yes No Yes Not in Universe Not in Universe No Yes Slack work or business conditions Childcare problems Other family/personal obligations Own illness Own injury School/Training Employer sold business Not in Universe Discharged/fired Quit to take another job Retirement or old age Employer bankrupt On Layoff Job was temporary and ended Unsatisfactory work arrangements (hours, pay, etc) Quit for some other reason No Yes Not in Universe School/Training On Layoff Own illness Employer bankrupt Slack work or business conditions Other family/personal obligations Discharged/fired Quit to take another job Quit for some other reason Job was temporary and ended Unsatisfactory work arrangements (hours, pay, etc) Not in Universe Retirement or old age Childcare problems Own injury Employer sold business Yes No Not in Universe Logical imputation (derivation) Statistical or logical imputation using previous wave data Statistical imputation (hot deck) Not imputed Cold deck imputation Yes Not in Universe No Not in Universe No Yes, covered No Not in Universe Yes No Not in Universe Yes None or not in universe Dollar amount Five weeks Not in Universe Four weeks Not imputed Statistical imputation (hot deck) Logical imputation (derivation) Cold deck imputation Statistical or logical imputation using previous wave data Never stopped/ worked right up to delivery Stopped when she was found to be pregnant Not in Universe Yes, covered No, not covered Not in Universe Logical imputation (derivation) Cold deck imputation Statistical imputation (hot deck) Not imputed Statistical or logical imputation using previous wave data Yes, covered No, not covered Cold deck imputation Logical imputation (derivation) Statistical or logical imputation using previous wave data Not imputed Statistical imputation (hot deck) No imputation Cold deck imputation Statistical or logical imputation using previous wave data Statistical imputation (hot deck) Logical imputation (derivation) Statistical imputation (hot deck) Cold deck imputation Logical imputation (derivation) Not imputed Statistical or logical imputation using previous wave data Yes Not in Universe No Yes, covered No, not covered Statistical or logical imputation using previous wave data Cold deck imputation Statistical imputation (hot deck) Logical imputation (derivation) Not imputed Yes, covered No, not covered Not imputed Statistical imputation (hot deck) Logical imputation (derivation) Statistical or logical imputation using previous wave data Cold deck imputation Yes, covered No, not covered Yes Not in Universe No None or not in universe Amount in dollars Logical imputation (derivation) Cold deck imputation Not imputed Statistical imputation (hot deck) Statistical or logical imputation using previous wave data Statistical imputation (hot deck) Not imputed Cold deck imputation Statistical or logical imputation using previous wave data Logical imputation (derivation) 1 week 0 weeks (that is, did not look for work or not on layoff) 2 weeks 3 weeks 5 weeks (if applicable) 4 weeks Not in Universe Not in Universe Yes No Logical imputation(derivation) Statistical imputation(hot deck) Cold deck imputation Not imputed Statistical or logical imputation using previous wave data Yes No Not in Universe Not imputed Cold deck Logical imputation(derivation) Statistical imputation(hot deck) Not in Universe Yes No No Yes Not in Universe Not in Universe 1959 Not in Universe No Yes No imputation Cold deck imputation Statistical imputation (hot deck) Logical imputation (derivation) Statistical or logical imputation using previous wave data Yes No Not in Universe Yes No Not in Universe Yes No Not in Universe Yes Not in Universe No No Not in Universe Yes None or not in universe Amount in dollars Not in Universe Date Suppressed Not in Universe Date