Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/302656 
Year of Publication: 
2024
Series/Report no.: 
IZA Discussion Papers No. 17139
Publisher: 
Institute of Labor Economics (IZA), Bonn
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.
Subjects: 
pandemic
mass layoffs
unemployment
recovery
COVID-19
JEL: 
E32
J63
J64
Document Type: 
Working Paper

Files in This Item:
File
Size
749.99 kB





Items in EconStor are protected by copyright, with all rights reserved, unless otherwise indicated.