Early evidence of the impacts of COVID-19 on minority unemployment
Open accessAbstract
This paper provides early evidence of the impacts of the COVID-19 pandemic on minority unemployment in the United States. In the first month following March adoptions of social distancing measures by states, unemployment rose to 14.5% but a much higher 24.4% when we correct for potential data misclassification noted by the BLS. Using the official definition, unemployment in April 2020 among African-Americans rose by less than what would have been anticipated (to 16.6%) based on previous recessions, and the long-term ordering of unemployment across racial/ethnic groups was altered with Latinx unemployment (18.2%) rising for the first time to the highest among major groups. Difference-in-difference estimates confirm that the initial gap in unemployment between whites and blacks in April was not different than in periods prior to the pandemic; however, the racial gap expanded as unemployment for whites declined in the next two months but was largely stagnant for blacks. The initially large gap in unemployment between whites and Latinx in April was sustained in May and June as unemployment declined similarly for both groups. Non-linear decompositions show a favorable industry distribution partly protected black employment during the early stages of the pandemic, but that an unfavorable occupational distribution and lower average skills levels placed them at higher risk of job losses. An unfavorable occupational distribution and lower skills contributed to a sharply widened Latinx-white unemployment gap that moderated over time as rehiring occurred. These findings of disproportionate impacts on minority unemployment raise important concerns regarding lost earnings and wealth, and longer-term consequences of the pandemic on racial inequality in the United States.
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CPS microdata have been used extensively in previous studies of unemployment.
“The CPS microdata have been used extensively in previous studies of unemployment”
From The Early Impacts of AI on Employment among Recent College Graduates (2026) · cites this paper as Couch, Fairlie and Xu 2020
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Cites
Fear, lockdown, and diversion: Comparing drivers of pandemic economic decline 2020
Goolsbee, A., & Syverson, C. (2021) · Journal of Public Economics · doi:10.1016/j.jpubeco.2020.104311 · Cited by 749 · see citing works
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Research works printed but not linked: 8
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Compensating for academic loss: Online learning and student performance during the COVID-19 pandemic
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Stress-related emotional and behavioural impact following the first COVID-19 outbreak peak
Benjamin, A., Kuperman, Y., Eren, N., Rotkopf, R., Amitai, M., Rossman, H., Shilo, S., Meir, T., Keshet, A., Nuttman-Shwartz, O., et al. (2021) · Molecular Psychiatry · doi:10.1038/s41380-021-01219-6 · Cited by 33 · see citing works
The Early Impacts of AI on Employment among Recent College Graduates
Fairlie, R., & Wu, J. (2026) · doi:10.3386/w35796
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- Authors
- Couch, K. A., Fairlie, R. W., & Xu, H.
- Affiliations
- University of Connecticut (US)
- University of California, Santa Cruz (US)
- Indiana University South Bend (US)
- Corresponding author
- Fairlie, Robert W.
- Venue
- Journal of Public Economics
- Publisher
- Elsevier BV
- Published
- 2020-12
- Volume
- 192
- Pages
- 104287
- ISSN
- 0047-2727 (ISSN-L)
- PMC
- PMC7489888
- OpenAlex
- W3086381166
- Cited by
- 282
- References
- 1
- Citations by year
- 2026: 13 · 2025: 22 · 2024: 31 · 2023: 51 · 2022: 87 · 2021: 70 · 2020: 8
- FWCI
- 45.92
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Journal of Public Economics (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Topics
- Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Labor market dynamics and wage inequality
- Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › COVID-19 Pandemic Impacts
- Social Sciences › Sociology and Political Science › Names, Identity, and Discrimination Research
- Keywords
- COVID-19 pandemic, social distancing measures, occupational distribution, industrial distribution, rehiring, racial inequality, job loss
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