Overview
The Health and Retirement Study (HRS) is a biennial longitudinal survey of Americans aged 50 and older, conducted by the University of Michigan with funding from the National Institute on Aging and the Social Security Administration. It began in 1992 and resurveys respondents every two years, adding new cohorts periodically. As of the early 2010s, the HRS contains five entry cohorts, with total N across waves in the tens of thousands. The HRS is the primary data source for empirical research on health, wealth, and retirement behavior in the United States.
Key Features
- Longitudinal panel: Biennial resurveys allowing tracking of health trajectories, asset drawdown, and economic outcomes from pre-retirement through death.
- Comprehensive wealth data: Collects total non-annuity wealth (home equity, financial assets, IRAs, Keoghs), plus annuity streams (Social Security, DB pensions).
- Health data: Rich multi-domain health battery; RAND HRS processed data constructs a PCA-based health index from 27 variables.
- Multiple entry cohorts: Original HRS cohort (born 1931–1941, entered 1992) plus AHEAD, War Baby, Early Baby Boomer, and Mid Baby Boomer cohorts.
- Linked administrative data: SSA earnings records and Medicare claims linkage available for approved researchers.
Key Uses in This Wiki
- Poterba et al. (2013a): Education-wealth gap decomposition; PCA health index; portfolio return gradient; N=23,952 respondents from first three cohorts, 1992–2008.
- Benítez-Silva et al. (2004): Waves 1–3 (1992/93, 1994/95, 1996/97) used to identify 393 DI applicants in a ±6-month window around interview dates; linked to SSA administrative records to test the Rational Unbiased Reporting hypothesis. The
hlimpw variable ("Does a health problem keep you from working altogether?") is the key self-reported disability measure tested as an approximate sufficient statistic for SSA ultimate award decisions.
- Conti, Berndt, and Frank (2009): Birth cohort 1931–1941, waves 2–5 (1994–2000). First systematic use of the 8-item CES-D depression screener (cutoff ≥4) from HRS for DI/SSI application outcome modeling. Also uses HRS's 39-condition health battery. CES-D ≥4 captures ~79% of CIDI DSM-III major depression cases but overidentifies transient episodes, creating downward bias in estimated depression effects.
Related
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