Using Administrative Data to Validate HRS Survey Responses on Application for DI and SSI Disability Benefits

John Bound, Charles Brown and Chichun Fang
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John Bound: Institute for Social Research, University of Michigan
Charles Brown: Institute for Social Research, University of Michigan
Chichun Fang: Institute for Social Research, University of Michigan

Working Papers from University of Michigan, Michigan Retirement Research Center

Abstract: In this paper, we use administrative data from the Social Security Administration to validate survey responses for the Health and Retirement Study (HRS) regarding the application for disability benefits from Social Security Disability Insurance (DI) or Supplemental Security Income (SSI), focusing on applications that occurred after individuals entered the HRS. In our samples, amongst those that the administrative data identifies as having applied for DI or SSI, over 40% either do not report having applied or inaccurately identify whether or not the application was successful. We find some evidence that the less well educated, those with cognitive limitations, and those experiencing a health limitation on their capacity for work are more likely to misreport applications. We also explore the effect that reporting errors have on parameter estimates in a simple model of the application for DI benefits. Parameter estimates are qualitatively similar regardless of whether we use survey or administrative data to identify the application for DI benefits in our model.

Pages: 29 pages
Date: 2023-04
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