|Title||Using Administrative Data to Validate HRS Survey Responses on Application for DI and SSI Disability Benefits|
|Year of Publication||2023|
|Authors||Bound, J, Brown, C, Fang, C|
|Document Number||WP 2023-462|
|Institution||Michigan Retirement and Disability Research Center, University of Michigan|
|City||Ann Arbor, MI|
|Keywords||administrative data, disability insurance, Social Security, Supplemental Security Income|
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.