Evidence map›Paper›PMID 34456657›Full record

ArticleJournal of economic inequality2021

The K-Shaped Recovery: Examining the Diverging Fortunes of Workers in the Recovery from the COVID-19 Pandemic Using Business and Household Survey Microdata.

Michael Dalton, Jeffrey A Groen, Mark A Loewenstein, David S Piccone, Anne E Polivka

Erratum issuedAbstract read
In one paragraph

Article in Journal of economic inequality, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Recovery shape of physical activity after COVID-19 pandemic.Journal of sport and health science · 2023
    Article
  4. Article
  5. Heterogeneous Labor Market Impacts of the COVID-19 Pandemic.Industrial & labor relations review · 2023
    Article
  6. Article
  7. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Michael DaltonU.S. Bureau of Labor Statistics, 2 Massachusetts Avenue NE, Suite 4945, Washington, DC 20212 USA.ORCID 0000-0002-3696-3576
Jeffrey A GroenU.S. Bureau of Labor Statistics, 2 Massachusetts Avenue NE, Suite 4945, Washington, DC 20212 USA.ORCID 0000-0003-1905-7026
Mark A LoewensteinU.S. Bureau of Labor Statistics, 2 Massachusetts Avenue NE, Suite 4945, Washington, DC 20212 USA.
David S PicconeU.S. Bureau of Labor Statistics, 2 Massachusetts Avenue NE, Suite 4945, Washington, DC 20212 USA.
Anne E PolivkaU.S. Bureau of Labor Statistics, 2 Massachusetts Avenue NE, Suite 4945, Washington, DC 20212 USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This paper examines employment patterns by wage group over the course of the coronavirus pandemic in the United States using microdata from two well-known data sources from the U.S. Bureau of Labor Statistics: the Current Employment Statistics and the Current Population Survey. We find establishments paying the lowest average wages and the lowest wage workers had the steepest decline in employment and experienced the most persistent losses. We disentangle the extent to which the effect observed for low wage workers is due to these workers being concentrated within a few low wage sectors of the economy versus the pandemic affecting low wage workers in a number of sectors across the economy. Our results indicate that the experience of low wage workers is not entirely due to these workers being concentrated in low wage sectors - for many sectors, the lowest wage quintiles in that sector also has had the worst employment outcomes. From April 2020 to May 2021, between 23% and 46% of the decline in employment among the lowest wage establishments was due to within-industry changes. Another important finding is that even for those who remain employed during the pandemic, the probability of becoming part-time for economic reasons increased, especially for low-wage workers. Supplementary Information: The online version contains supplementary material available at 10.1007/s10888-021-09506-6.

Indexed as

ClosuresCoronavirusCOVID-19EmploymentIncomeInequalityRecessionUnemploymentWages

Identifiers

PMID34456657
PMCPMC8382096

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.