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Back to Work: Expectations and Realizations of Work after Retirement
Open accessAbstract
This paper analyzes a puzzling aspect of retirement behavior known as "unretirement." Nearly 50 percent of retirees follow a nontraditional retirement path that involves partial retirement or unretirement, and at least 26 percent of retirees later unretire. I explore two possible explanations: 1) unretirement transitions result from failures in planning or financial shocks; and 2) unretirement transitions are anticipated prior to retirement, reflecting a more complex retirement process. I show that unretirement was anticipated for the vast majority of those returning to work, and is not a result of financial shocks, poor planning or low wealth accumulation.
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Cited by
Cohort Profile: the Health and Retirement Study (HRS)
Sonnega, A., Faul, J. D., Ofstedal, M. B., Langa, K. M., Phillips, J. W., & Weir, D. R. (2014) · International Journal of Epidemiology · doi:10.1093/ije/dyu067 · Cited by 2,318
The effect of informal care on work and wages
Van Houtven, C. H., Coe, N. B., & Skira, M. M. (2013) · Journal of Health Economics · doi:10.1016/j.jhealeco.2012.10.006 · Cited by 479
Working after retirement: Features of bridge employment and research directions
Beehr, T. A., & Bennett, M. M. (2015) · Work, Aging and Retirement · doi:10.1093/workar/wau007 · Cited by 309
Mental work demands, retirement, and longitudinal trajectories of cognitive functioning.
Fisher, G. G., Stachowski, A., Infurna, F. J., Faul, J. D., Grosch, J., & Tetrick, L. E. (2014) · Journal of Occupational Health Psychology · doi:10.1037/a0035724 · Cited by 236
Cahill, K. E., Giandrea, M. D., & Quinn, J. F. (2015) · The Gerontologist · doi:10.1093/geront/gnt146 · Cited by 180
Metadata
- Authors
- Maestas, N.
- Venue
- Journal of Human Resources
- Publisher
- University of Wisconsin Press
- Published
- 2010
- Volume
- 45
- Issue
- 3
- Pages
- 718-748
- ISSN
- 0022-166X (ISSN-L)
- 1548-8004
- OpenAlex
- W2110876647
- Cited by
- 387
- References
- 0
- FWCI
- 61.73
- Type
- journal article
- Language
- en
- Open access
- green
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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.