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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...

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Detalles Bibliográficos
Autores principales: Bertocchi, Graziella, Dimico, Arcangelo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Inc. 2022
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
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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.
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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
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