Estimating the Disparate Cumulative Impact of the Pandemic in Administrative Unemployment Insurance Data

Alex Bell, T. J. Hedin, Peter Mannino, Roozbeh Moghadam, Carl Romer, Geoffrey Schnorr () and Till von Wachter

AEA Papers and Proceedings, 2022, vol. 112, 78-84

Abstract: To better measure the full extent of the impact of the COVID-19 crisis on workers and the labor market, this paper estimates three measures of the cumulative impact of the pandemic on workers across intensive and extensive margins using longitudinal administrative unemployment insurance (UI) data from California. During the first year of the crisis, 30 percent of the labor force filed a UI claim, over 50 percent of recipients spent more than 6 months on the program, and the mean work time lost was 13 weeks. Less advantaged workers and counties saw much higher rates of claiming and long-term unemployment.

JEL-codes: H75 I12 J22 J64 J65 R23 (search for similar items in EconPapers)
Date: 2022
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Persistent link: https://EconPapers.repec.org/RePEc:aea:apandp:v:112:y:2022:p:78-84

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DOI: 10.1257/pandp.20221008

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