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The Racial Gap in Employment and Layoffs during COVID-19 in the United States: A Visualization
A large body of sociological research has shown that racial minorities and women experience significant disadvantages in the labor market. In this visualization, the author presents evidence from the Current Population Survey examining the effects of the coronavirus disease 2019 crisis on racial and...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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SAGE Publications
2021
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7816096/ https://www.ncbi.nlm.nih.gov/pubmed/34192144 http://dx.doi.org/10.1177/2378023120988397 |
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author | Dias, Felipe A. |
author_facet | Dias, Felipe A. |
author_sort | Dias, Felipe A. |
collection | PubMed |
description | A large body of sociological research has shown that racial minorities and women experience significant disadvantages in the labor market. In this visualization, the author presents evidence from the Current Population Survey examining the effects of the coronavirus disease 2019 crisis on racial and gender inequalities in employment in the United States among prime-age workers. The author shows that the white-nonwhite gap in employment increased significantly during the post-outbreak period. Results from individual fixed-effects regression models show a strong white male advantage in the likelihood of being laid off for post-outbreak months compared with women, black men, Hispanic men, and Asian men. |
format | Online Article Text |
id | pubmed-7816096 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | SAGE Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-78160962021-01-20 The Racial Gap in Employment and Layoffs during COVID-19 in the United States: A Visualization Dias, Felipe A. Socius Data Visualization A large body of sociological research has shown that racial minorities and women experience significant disadvantages in the labor market. In this visualization, the author presents evidence from the Current Population Survey examining the effects of the coronavirus disease 2019 crisis on racial and gender inequalities in employment in the United States among prime-age workers. The author shows that the white-nonwhite gap in employment increased significantly during the post-outbreak period. Results from individual fixed-effects regression models show a strong white male advantage in the likelihood of being laid off for post-outbreak months compared with women, black men, Hispanic men, and Asian men. SAGE Publications 2021-01-19 /pmc/articles/PMC7816096/ /pubmed/34192144 http://dx.doi.org/10.1177/2378023120988397 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by-nc/4.0/ This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage). |
spellingShingle | Data Visualization Dias, Felipe A. The Racial Gap in Employment and Layoffs during COVID-19 in the United States: A Visualization |
title | The Racial Gap in Employment and Layoffs during COVID-19 in the United States: A Visualization |
title_full | The Racial Gap in Employment and Layoffs during COVID-19 in the United States: A Visualization |
title_fullStr | The Racial Gap in Employment and Layoffs during COVID-19 in the United States: A Visualization |
title_full_unstemmed | The Racial Gap in Employment and Layoffs during COVID-19 in the United States: A Visualization |
title_short | The Racial Gap in Employment and Layoffs during COVID-19 in the United States: A Visualization |
title_sort | racial gap in employment and layoffs during covid-19 in the united states: a visualization |
topic | Data Visualization |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7816096/ https://www.ncbi.nlm.nih.gov/pubmed/34192144 http://dx.doi.org/10.1177/2378023120988397 |
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