The DOI matches its Crossref record.
The Effects of Health Insurance and Self-Insurance on Retirement Behavior
Open accessAbstract
This paper provides an empirical analysis of the effects of employer-provided health insurance, Medicare, and Social Security on retirement behavior. Using data from the Health and Retirement Study, we estimate a dynamic programming model of retirement that accounts for both saving and uncertain medical expenses. Our results suggest that Medicare is important for understanding retirement behavior, and that uncertainty and saving are both important for understanding the labor supply responses to Medicare. Half the value placed by a typical worker on his employer-provided health insurance is the value of reduced medical expense risk. Raising the Medicare eligibility age from 65 to 67 leads individuals to work an additional 0.074 years over ages 60–69. In comparison, eliminating 2 years worth of Social Security benefits increases years of work by 0.076 years.
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Citations
Cited by
Wang, M., & Wanberg, C. R. (2017) · Journal of Applied Psychology · doi:10.1037/apl0000143 · Cited by 205
Public pensions and labor supply over the life cycle
French, E., & Jones, J. (2012) · International Tax and Public Finance · doi:10.1007/s10797-011-9184-x · Cited by 76
Self-citationToward an experimental therapeutics approach in human services research
Raghavan, R., Munson, M. R., & Le, C. (2019) · Psychiatric Services · doi:10.1176/appi.ps.201800577 · Cited by 43
Kitamura, T., & Adachi, Y. (2024) · The Journal of the Economics of Ageing · doi:10.1016/j.jeoa.2024.100536 · Cited by 3
Metadata
- Venue
- Econometrica
- Publisher
- The Econometric Society
- Published
- 2011
- Volume
- 79
- Issue
- 3
- Pages
- 693-732
- ISSN
- 0012-9682 (ISSN-L)
- OpenAlex
- W2129386857
- Cited by
- 439
- References
- 0
- FWCI
- 80.20
- Type
- journal article
- Language
- en
- Open access
- bronze
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.
