Evidence map›Paper›PMID 35583671›Full record

ArticleDemography2022

Determinants of Disparities in Early COVID-19 Job Losses.

Laura Montenovo, Xuan Jiang, Felipe Lozano-Rojas, Ian Schmutte, Kosali Simon, Bruce A Weinberg, Coady Wing

Open access · diamondAbstract read
In one paragraph

Article in Demography, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 70 papers.

0numbers the graph read from it
0cells of the map it votes in
70citing papers in PubMed
35.3field-weighted citation impact, top 1% of its field
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

70 citing papers in PubMed, 151 citations in OpenAlex.

  1. Article
  2. Article
  3. Productivity changes during the COVID-19 pandemic and its associated risk factors.Scandinavian journal of work, environment & health · 2025
    Article
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  10. Heterogeneity in Damages from A Pandemic.The review of economics and statistics · 2024
    Article
  11. Article
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  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. The impacts of Covid-19 absences on workers.Journal of public economics · 2023
    Article

10 more citing papers are in PubMed but not listed here.

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

7 authors at 4 institutions in 2 countries.

Laura MontenovoO'Neill School of Public and Environmental Affairs, Indiana University, Bloomington, IN, USA.ORCID 0000-0002-7955-3761
Xuan JiangDepartment of Economics, Jinan University, Guangzhou, China.ORCID 0000-0001-7802-0165
Felipe Lozano-RojasSchool of Public and International Affairs, University of Georgia, Athens, GA, USA.ORCID 0000-0002-9300-6094
Ian SchmutteTerry College of Business, University of Georgia, Athens, GA, USA.ORCID 0000-0001-5955-3599
Kosali SimonO'Neill School of Public and Environmental Affairs, Indiana University, Bloomington, IN, USA.ORCID 0000-0002-3231-1466
Bruce A WeinbergDepartment of Economics, The Ohio State University, Columbus, OH, USA.ORCID 0000-0001-8856-1803
Coady WingO'Neill School of Public and Environmental Affairs, Indiana University, Bloomington, IN, USA.ORCID 0000-0003-0033-7562
Indiana University Bloomington · USUniversity of Georgia · USJinan University · CNThe Ohio State University · US

Funding

Understanding and Improving Healthcare Decision-Making and Outcomes for People Living with Alzheimer's Disease and Related DementiasP01AG005842 · NIA · NATIONAL BUREAU OF ECONOMIC RESEARCH · PI KOSALI ILAYPERUMA SIMON · 1986 to 2026
$56.5M
The OSU Center for Clinical and Translational Science: Advancing Today's Discoveries to Improve HealthUL1TR002733 · NCATS · OHIO STATE UNIVERSITY · PI RINGEL, MATTHEW D · 2018 to 2022
$28.9M
The Health and Economic Impacts of Infectious Diseases and Policy ResponsesU01AG076549 · NIA · OHIO STATE UNIVERSITY · PI WEINBERG, BRUCE A · 2021 to 2025
$2.3M
Statistics and Survey Methods CoreR24HD058484 · NICHD · OHIO STATE UNIVERSITY · PI CASTERLINE, JOHN B · 2009 to 2013
$2.1M
NCATS NIH HHS UL1 TR002733NIA NIH HHS P01 AG005842NIA NIH HHS U01 AG076549NICHD NIH HHS R24 HD058484
6 · The paper itself

Abstract

This study examines the sociodemographic divide in early labor market responses to the U.S. COVID-19 epidemic and associated policies, benchmarked against two previous recessions. Monthly Current Population Survey (CPS) data show greater declines in employment in April and May 2020 (relative to February) for Hispanic individuals, younger workers, and those with a high school diploma or some college. Between April and May, the demographic subgroups considered regained some employment. Reemployment in May was broadly proportional to the employment drop that occurred through April, except for Black individuals, who experienced a smaller rebound. Compared to the 2001 recession and the Great Recession, employment losses in the early COVID-19 recession were smaller for groups with low or high (vs. medium) education. We show that job loss was greater in occupations that require more interpersonal contact and that cannot be performed remotely, and that pre-COVID-19 sorting of workers into occupations and industries along demographic lines can explain a sizable portion of the demographic gaps in new unemployment. For example, while women suffered more job losses than men, their disproportionate pre-epidemic sorting into occupations compatible with remote work shielded them from even larger employment losses. However, substantial gaps in employment losses across groups cannot be explained by socioeconomic differences. We consider policy lessons and future research needs regarding the early labor market implications of the COVID-19 crisis.

Indexed as

COVID-19Educational StatusEmploymentFemaleHumansMaleOccupationsSocioeconomic FactorsUnemploymentDiscriminationEconomic recessionJob lossStratificationWork features decomposition

Identifiers

PMID35583671
PMCPMC9177772
OpenAlexW4280543231

What OpenQuestion holds

Textmetadata
LicenceTDM
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.