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A Review of the Recent Empirical Literature on Displaced Workers
Abstract
This article reviews the empirical literature on job displacement. Job displacement is widespread and strongly countercyclical (tending to peak during economic downturns), but concentrated in industries and states that are doing poorly, relative either to other industries and states or to their own prior performance. Displaced workers experience more nonemployment than do nondisplaced workers, but the difference fades after about four years. In contrast, earnings losses of displaced workers are large and persistent. Outcomes for all displaced workers are heavily influenced by broader economic conditions, and are affected very little by workers' demographic characteristics. The effects of advance notice are not yet clear.
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Citations
Cited by
Earnings Losses of Displaced Workers Revisited
Couch, K. A., & Placzek, D. W. (2010) · American Economic Review · doi:10.1257/aer.100.1.572 · Cited by 676
The Retirement Decision in OECD Countries
(1999) · OECD Economics Department Working Papers · doi:10.1787/565174210530 · Cited by 573
Worker Displacement and the Added Worker Effect
Stephens, Jr. (2002) · Journal of Labor Economics · doi:10.1086/339615 · Cited by 357
Choosing a Control Group for Displaced Workers
Krolikowski, P. (2018) · ILR Review · doi:10.1177/0019793917743707 · Cited by 70
Metadata
- Authors
- Fallick, B. C.
- Venue
- ILR Review
- Publisher
- SAGE Publications
- Published
- 1996-10
- Volume
- 50
- Issue
- 1
- Pages
- 5-16
- ISSN
- 0019-7939 (ISSN-L)
- 2162-271X
- OpenAlex
- W2137180593
- Cited by
- 281
- References
- 0
- FWCI
- 19.13
- Type
- journal article
- Language
- en
- Open access
- closed
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- Fallick, B. C. (1996). A Review of the Recent Empirical Literature on Displaced Workers. ILR Review. https://doi.org/10.1177/001979399605000101
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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.
