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Trends in Employment and Earnings of Allowed and Rejected Applicants to the Social Security Disability Insurance Program
Open accessAbstract
Longitudinal administrative data show that rejected male applicants to the Disability Insurance (DI) program who are younger or have low-mortality impairments such as back pain and mental health problems exhibit substantial labor force attachment. While we confirm that employment rates of older rejected applicants are low, continued high numbers of younger and low-mortality beneficiaries have raised the potential employment of DI beneficiaries. Three findings support economic inducement to apply. Mean preapplication earnings have fallen, rejected applicants experience preapplication declines in earnings, and beneficiaries whose first applications were rejected at the DDS level but who ultimately received benefits exhibit substantial employment. JEL: H55, J14, J28, J31
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Cited by
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Hendren, N., & Sprung-Keyser, B. (2020) · The Quarterly Journal of Economics · doi:10.1093/qje/qjaa006 · Cited by 571
Krueger, A. B. (2017) · Brookings Papers on Economic Activity · doi:10.1353/eca.2017.0012 · Cited by 363
Explaining the Decline in the U.S. Employment-to-Population Ratio: a Review of the Evidence
Abraham, K., & Kearney, M. (2018) · doi:10.3386/w24333 · Cited by 55
Metadata
- Authors
- Wachter, T. V., Song, J., & Manchester, J.
- Venue
- American Economic Review
- Publisher
- American Economic Association
- Published
- 2011-12-01
- Volume
- 101
- Issue
- 7
- Pages
- 3308-3329
- ISSN
- 0002-8282 (ISSN-L)
- OpenAlex
- W2082262187
- Cited by
- 235
- References
- 0
- FWCI
- 57.03
- Type
- journal article
- Language
- en
- Open access
- green
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- Wachter, T. V., Song, J., & Manchester, J. (2011). Trends in Employment and Earnings of Allowed and Rejected Applicants to the Social Security Disability Insurance Program. American Economic Review. https://doi.org/10.1257/aer.101.7.3308
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.