Evidence map›Paper›PMID 36605816›Full record

ArticleIndustrial & labor relations review2023

Heterogeneous Labor Market Impacts of the COVID-19 Pandemic.

Guido Matias Cortes, Eliza Forsythe

Abstract read
In one paragraph

Article in Industrial & labor relations review, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

30 citing papers in PubMed.

  1. Non-communicable diseases, COVID-19 and labour market outcomes.The European journal of health economics : HEPAC : health economics in prevention and care · 2026
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  6. Heterogeneity in Damages from A Pandemic.The review of economics and statistics · 2024
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  12. COVID-19 Fear Impact on Israeli and Maltese Female "Help" Profession Students.International journal of environmental research and public health · 2023
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Guido Matias CortesGuido Matias Cortes is an Associate Professor at York University and a Research Fellow at the Institute of Labor Economics (IZA). Eliza Forsythe is an Assistant Professor at the University of Illinois, Urbana-Champaign.ORCID https://orcid.org/0000-0001-8635-7438
Eliza ForsytheGuido Matias Cortes is an Associate Professor at York University and a Research Fellow at the Institute of Labor Economics (IZA). Eliza Forsythe is an Assistant Professor at the University of Illinois, Urbana-Champaign.ORCID https://orcid.org/0000-0001-6052-1754

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The authors study the distributional consequences of the COVID-19 pandemic's impact on employment, both during the onset of the pandemic and over subsequent months. Using cross-sectional and matched longitudinal data from the Current Population Survey, they show that the pandemic has exacerbated pre-existing inequalities. Although employment losses have been widespread, they have been substantially larger-and more persistent-in lower-paying occupations and industries. Hispanics and non-White workers suffered larger increases in job losses, not only because of their over-representation in lower-paying jobs but also because of a disproportionate increase in their job displacement probability relative to non-Hispanic White workers with the same job background. Gaps in year-on-year job displacement probabilities between Black and White workers have widened over the course of the pandemic recession, both overall and conditional on pre-displacement occupation and industry. These gaps are not explained by state-level differences in the severity of the pandemic nor by the associated response in terms of mitigation policies. In addition, evidence suggests that older workers have been retiring at faster rates.

Indexed as

COVID-19job losslabor market flowsoccupations and industrieswage inequality

Identifiers

PMID36605816
PMCPMC9702931

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.