Evidence map›Paper›PMID 35125569›Full record

ArticlePopulation research and policy review2022

Who is the "She" in the Pandemic "She-Cession"? Variation in COVID-19 Labor Market Outcomes by Gender and Family Status.

Andrew Taeho Kim, Matt Erickson, Yurong Zhang, ChangHwan Kim

Open access · bronzeAbstract read
In one paragraph

Article in Population research and policy review, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
6.7field-weighted citation impact, top 3% 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

5 citing papers in PubMed, 23 citations in OpenAlex.

  1. Article
  2. Retirement behavior of cancer survivors: role of health insurance.Journal of cancer survivorship : research and practice · 2024
    Article
  3. Article
  4. Article
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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

4 authors at 1 institution in 1 country.

Andrew Taeho KimDepartment of Sociology, University of Kansas, Lawrence, USA.ORCID 0000-0002-1402-2927
Matt EricksonDepartment of Sociology, University of Kansas, Lawrence, USA.
Yurong ZhangDepartment of Sociology, University of Kansas, Lawrence, USA.
ChangHwan KimDepartment of Sociology, University of Kansas, Lawrence, USA.
University of Kansas · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The sharp decline in employment after the COVID-19 lockdown was not uniformly felt across demographic groups. Utilizing the 2017 to 2020 monthly Current Population Survey and using a difference-in-difference design, we investigate the varying impacts of COVID-19 on at-work status among the prime-working-age population, accounting for typical seasonal fluctuations in employment. The target population is grouped by gender, marital status, parenthood, and level of education. Our results uncover complex variations by gender, marital status, and children's age. Contrary to popular belief, married women without school-aged children did not experience a relative decline in employment compared to married fathers. A majority of disadvantages in employment that married women experienced are accounted for by controlling for typical seasonal fluctuations. The women whose employment was most distinctively adversely affected by COVID-19 during 2020 were less-educated never-married childless women and never-married mothers. Less-educated men who were not currently married also experienced a disadvantage in employment relative to equally educated married fathers. These findings imply that, during the pandemic recession, marriage offered a form of within-family insurance that we call the "added caregiver effect." The further implications of these findings are discussed.

Indexed as

COVID-19EmploymentGenderMarital statusParenthood

Identifiers

PMID35125569
PMCPMC8799449
OpenAlexW4210599833

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.