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Richard V. Burkhauser
;
J. S. Butler
;
Gulcin Gumus

dynamic programming model estimates of social security disability insurance application timing (replication data)

This paper develops a dynamic programming model of the Social Security Disability Insurance (SSDI) application timing decision. We estimate the time to application from the point at which a health condition first begins to affect the kind or amount of work that a currently employed person can do. We use Health and Retirement Study (HRS) and restricted access Social Security earnings data for estimation. Our results show that the type of work-limiting health condition, presence of employer accommodation, and the relative value of income in the application state to income in the work state significantly affect the timing of SSDI application.

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Suggested Citation

Burkhauser, Richard V.; Butler, J. S.; Gumus, Gulcin (2004): Dynamic programming model estimates of Social Security Disability Insurance application timing (replication data). Version: 1. Journal of Applied Econometrics. Dataset. http://dx.doi.org/10.15456/jae.2022319.0707311010