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Reservation Wages and Unemployment Insurance
Abstract
This paper argues that a risk-averse worker's after-tax reservation wage encodes all the relevant information about her welfare. This insight leads to a novel test for the optimality of unemployment insurance based on the responsiveness of reservation wages to unemployment benefits. Some existing estimates imply significant gains to raising the current level of unemployment benefits in the United States but highlight the need for more research on the determinants of reservation wages. Our approach complements those based on Baily's [Journal of Public Economics, X (1978), 379–402] test.
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Citations
Cites
Unemployment Insurance and Unemployment Spells
Meyer, B. D. (1990) · Econometrica · doi:10.2307/2938349 · Cited by 1,178
Cited by
Moral Hazard versus Liquidity and Optimal Unemployment Insurance
Chetty, R. (2008) · Journal of Political Economy · doi:10.1086/588585 · Cited by 853
Cash-on-Hand and Competing Models of Intertemporal Behavior: New Evidence from the Labor Market
Card, D., Chetty, R., & Weber, A. (2007) · The Quarterly Journal of Economics · doi:10.1162/qjec.2007.122.4.1511 · Cited by 441
Social Costs of Jobs Lost Due to Environmental Regulations
Bartik, T. (2013) · doi:10.2139/ssrn.2241065 · Cited by 9
Metadata
- Authors
- Shimer, R., & Werning, I.
- Venue
- The Quarterly Journal of Economics
- Publisher
- Oxford University Press (OUP)
- Published
- 2007-08-01
- Volume
- 122
- Issue
- 3
- Pages
- 1145-1185
- ISSN
- 0033-5533 (ISSN-L)
- 1531-4650
- OpenAlex
- W3125981254
- Cited by
- 158
- References
- 1
- FWCI
- 15.24
- Type
- journal article
- Language
- en
- Open access
- closed
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- Shimer, R., & Werning, I. (2007). Reservation Wages and Unemployment Insurance. The Quarterly Journal of Economics. https://doi.org/10.1162/qjec.122.3.1145
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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.