Measurement issues associated with using survey data matched with administrative data from the Social Security Administration.
Researchers using survey data matched with administrative data benefit from the rich demographic and economic detail available from survey data combined with detailed programmatic data from administrative records. The research benefits of using these matched data are too numerous to mention. But there are drawbacks as well, and those drawbacks have received less systematic attention from researchers. We focus on survey data matched with administrative data from the Social Security Administration and address the strengths and weaknesses of each in four specific areas: (1) program participation and benefits, (2) disability and health information, (3) earnings, and (4) deferred compensation. We discuss the implications of these strengths and weaknesses for decisions that researchers must make regarding the appropriate data source and definition for the concepts in question. From this discussion, some general conclusions are drawn about measurement issues associated with using matched survey and administrative data for research, policy evaluation, and statistics.
Davies
Paul S
PS
Division of Policy Evaluation, Office of Research, Evaluation, and Statistics, Office of Retirement and Disability Policy, Social Security Administration, USA.
Fisher
T Lynn
TL
D000293:Adolescent; D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D002648:Child; D002675:Child, Preschool; D003625:Data Collection / Q000706:statistics & numerical data*; D006233:Persons with Disabilities; D005260:Female; D006801:Humans; D007182:Income; D007223:Infant; D007231:Infant, Newborn; D008297:Male; D008875:Middle Aged; D011203:Poverty / Q000191:economics*; D012179:Retirement / Q000191:economics*; D012943:Social Security / Q000191:economics* / Q000706:statistics & numerical data; D012959:Socioeconomic Factors; D014481:United States; D019131:United States Social Security Administration; D055815:Young Adult