2017
DOI: 10.17848/wp18-282
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Sources of Displaced Workers' Long-Term Earnings Losses

Abstract: We estimate the earnings losses of a cohort of workers displaced during the Great Recession and decompose those long-term losses into components attributable to fewer work hours and to reduced hourly wage rates. We also examine the extent to which the reduced earnings, work hours, and wages of these displaced workers can be attributed to factors specific to pre-and post-displacement employers; that is, to employer-specific fixed effects. The analysis is based on employer-employee linked panel data from Washing… Show more

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Cited by 44 publications
(112 citation statements)
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“…13 Other work using the Washington data are Jardim et al (2017) who analyze the consequences of minimum wage increases in Seattle, WA; Lachowska et al (2017) who study the role of hours variations for earnings losses after mass layoff events; and Lachowska et al (2018) who test the quality of the hours data and conclude, as we do, that this quality is high. time, their analysis is much more limited in scope.…”
Section: Introductionmentioning
confidence: 56%
“…13 Other work using the Washington data are Jardim et al (2017) who analyze the consequences of minimum wage increases in Seattle, WA; Lachowska et al (2017) who study the role of hours variations for earnings losses after mass layoff events; and Lachowska et al (2018) who test the quality of the hours data and conclude, as we do, that this quality is high. time, their analysis is much more limited in scope.…”
Section: Introductionmentioning
confidence: 56%
“…Crossley, Jones, and Kuhn () find that wage loss after job displacement is smaller when the plant is located in a more populated area. Finally, a sizable share of the wage losses associated with job displacement can be explained by workers being employed by lower paying firms postdisplacement (Lachowska, Mas, & Woodbury, ).…”
Section: Background and Literature Reviewmentioning
confidence: 99%
“…As compared with recent studies that use the JLS-type identification strategy (e.g Lachowska, Mas and. Woodbury 2018, Powell andSeabury 2018), we are unable to use workers within the same firm to construct the control group, because sales increases affect all workers at a given firm.…”
mentioning
confidence: 99%