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Task Content and Job Losses in the Great Lockdown

Bibliographic Data

ID4573340
AuthorsFilippos Petroulakis (0000-0003-1077-482X, Filippos Petroulakis is a Research Economist in the Economic Analysis and Research Department at the Bank of Greece, corresponding author)
Year2023
Volume76
Issue3
Pages586-613
Publication date2023-05-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueIndustrial and Labor Relations Review (JOURNAL)
Journal identifiersISSN: 0019-7939 • E-ISSN: 2162-271X
PublisherSAGE Publications Inc (PUBLISHER)
DOI10.1177/00197939231161616
OpenAlexW3094699672
LanguageEN
Citations received3
References cited20

The author examines the short-term labor market effects of the COVID-19 pandemic (aka the Great Lockdown recession) in the United States. Findings show that the task content is an important predictor of job losses; jobs with a high non-routine cognitive content are especially well-protected, even if they are not teleworkable. Teleworkability matters more for low-paying jobs. The importance of task content, particularly for non-routine cognitive tasks, is strong even after controlling for demographics and for differential sector and location shocks, while effects persist in the medium run. Jobs subject to higher structural turnover rates were much more likely to be terminated, suggesting that easier-to-replace employees were at a particular disadvantage, even within sectors. At the same time, labor hoarding may occur for more valuable matches. Individuals in low-skilled jobs fared comparatively better in industries with a high share of high-skilled workers, suggesting complementarities across skill types

Business · Cognition · Demographic economics · Distress · Economics · Hoarding (animal behavior) · Labour economics · Recession · Task (project management) · COVID-19 Pandemic Impacts · Employment and Welfare Studies · Labor market dynamics and wage inequality · Psychology

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Unique citing works3
Citations per year1,5
Citation span2024 - 2024 (1)
Citation velocityrecent
Highly citedNo
Citation typesNeutral: 3
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