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JUE Insight: COVID-19, race, and gender()
The evidence on the demographics of COVID-19 fatalities points to an overrepresentation of minorities and an underrepresentation of women. We investigate the joint impact of race and gender using individual-level georeferenced death data collected by the Cook County Medical Examiner, which we struct...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier Inc.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9272662/ https://www.ncbi.nlm.nih.gov/pubmed/35847552 http://dx.doi.org/10.1016/j.jue.2022.103484 |
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author | Bertocchi, Graziella Dimico, Arcangelo |
author_facet | Bertocchi, Graziella Dimico, Arcangelo |
author_sort | Bertocchi, Graziella |
collection | PubMed |
description | The evidence on the demographics of COVID-19 fatalities points to an overrepresentation of minorities and an underrepresentation of women. We investigate the joint impact of race and gender using individual-level georeferenced death data collected by the Cook County Medical Examiner, which we structure as a cell-level panel at a race, block group, week, and year level. Through an event study approach, we establish that Black individuals are affected more harshly than White and that the effect is driven by Black women. The Black female bias is associated with occupational segregation in the health care and transportation sectors and by commuting on public transport. |
format | Online Article Text |
id | pubmed-9272662 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Elsevier Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-92726622022-07-11 JUE Insight: COVID-19, race, and gender() Bertocchi, Graziella Dimico, Arcangelo J Urban Econ Article The evidence on the demographics of COVID-19 fatalities points to an overrepresentation of minorities and an underrepresentation of women. We investigate the joint impact of race and gender using individual-level georeferenced death data collected by the Cook County Medical Examiner, which we structure as a cell-level panel at a race, block group, week, and year level. Through an event study approach, we establish that Black individuals are affected more harshly than White and that the effect is driven by Black women. The Black female bias is associated with occupational segregation in the health care and transportation sectors and by commuting on public transport. Elsevier Inc. 2022-07-11 /pmc/articles/PMC9272662/ /pubmed/35847552 http://dx.doi.org/10.1016/j.jue.2022.103484 Text en © 2022 Elsevier Inc. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Article Bertocchi, Graziella Dimico, Arcangelo JUE Insight: COVID-19, race, and gender() |
title | JUE Insight: COVID-19, race, and gender() |
title_full | JUE Insight: COVID-19, race, and gender() |
title_fullStr | JUE Insight: COVID-19, race, and gender() |
title_full_unstemmed | JUE Insight: COVID-19, race, and gender() |
title_short | JUE Insight: COVID-19, race, and gender() |
title_sort | jue insight: covid-19, race, and gender() |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9272662/ https://www.ncbi.nlm.nih.gov/pubmed/35847552 http://dx.doi.org/10.1016/j.jue.2022.103484 |
work_keys_str_mv | AT bertocchigraziella jueinsightcovid19raceandgender AT dimicoarcangelo jueinsightcovid19raceandgender |