Pandemic Layoffs and the Role of Stay-at-Home Orders

Marianna Kudlyak and Erin Wolcott

No 17139, IZA Discussion Papers from Institute of Labor Economics (IZA)

Abstract: We compile a novel high-frequency, detailed geographic dataset on mass layoffs from U.S. state labor departments. Using recent advances in difference-in-difference estimation with staggered treatment, we find that locally-mandated stay-at-home orders issued March 16–22, 2020 triggered mass layoffs equal to half a percent of the population in just one week. Our findings contribute to explanations for why job loss in 2020 was catastrophic, yet temporary.

Keywords: COVID-19; pandemic; mass layoffs; unemployment; recovery (search for similar items in EconPapers)
JEL-codes: E32 J63 J64 (search for similar items in EconPapers)
Pages: 15 pages
Date: 2024-07
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Published - published in: Economics Letters, 2024, 242, 111894

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Related works:
Journal Article: Pandemic layoffs and the role of stay-at-home orders (2024)
Working Paper: Pandemic Layoffs and the Role of Stay-At-Home Orders (2024)
Working Paper: Pandemic Layoffs and the Role of Stay-At-Home Orders (2024)
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