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JUE Insight: The determinants of the differential exposure to COVID-19 in New York city and their evolution over time()

We argue that occupations are a key explanatory variable for understanding the early transmission of COVID-19 in New York City, finding that they play a larger role than other key demographics such as race or income. Moreover, we find no evidence that commuting patterns are significant after control...

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Detalles Bibliográficos
Autores principales: Almagro, Milena, Orane-Hutchinson, Angelo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Inc. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8886421/
https://www.ncbi.nlm.nih.gov/pubmed/35250111
http://dx.doi.org/10.1016/j.jue.2020.103293
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author Almagro, Milena
Orane-Hutchinson, Angelo
author_facet Almagro, Milena
Orane-Hutchinson, Angelo
author_sort Almagro, Milena
collection PubMed
description We argue that occupations are a key explanatory variable for understanding the early transmission of COVID-19 in New York City, finding that they play a larger role than other key demographics such as race or income. Moreover, we find no evidence that commuting patterns are significant after controlling for occupations. On the other hand, racial disparities still persist for Blacks and Hispanics compared with Whites, although the disparities’ magnitudes are economically small. We perform our analysis over a range of several weeks to evaluate how different channels interact with the progression of the pandemic and the stay-at-home order. While the coefficient magnitudes of many occupations and demographics decrease, we find evidence consistent with higher intra-household contagion over time. Finally, our results also suggest that crowded spaces play a more important role than population density in the spread of COVID-19.
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spelling pubmed-88864212022-03-01 JUE Insight: The determinants of the differential exposure to COVID-19 in New York city and their evolution over time() Almagro, Milena Orane-Hutchinson, Angelo J Urban Econ Article We argue that occupations are a key explanatory variable for understanding the early transmission of COVID-19 in New York City, finding that they play a larger role than other key demographics such as race or income. Moreover, we find no evidence that commuting patterns are significant after controlling for occupations. On the other hand, racial disparities still persist for Blacks and Hispanics compared with Whites, although the disparities’ magnitudes are economically small. We perform our analysis over a range of several weeks to evaluate how different channels interact with the progression of the pandemic and the stay-at-home order. While the coefficient magnitudes of many occupations and demographics decrease, we find evidence consistent with higher intra-household contagion over time. Finally, our results also suggest that crowded spaces play a more important role than population density in the spread of COVID-19. Elsevier Inc. 2022-01 2020-10-28 /pmc/articles/PMC8886421/ /pubmed/35250111 http://dx.doi.org/10.1016/j.jue.2020.103293 Text en © 2020 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
Almagro, Milena
Orane-Hutchinson, Angelo
JUE Insight: The determinants of the differential exposure to COVID-19 in New York city and their evolution over time()
title JUE Insight: The determinants of the differential exposure to COVID-19 in New York city and their evolution over time()
title_full JUE Insight: The determinants of the differential exposure to COVID-19 in New York city and their evolution over time()
title_fullStr JUE Insight: The determinants of the differential exposure to COVID-19 in New York city and their evolution over time()
title_full_unstemmed JUE Insight: The determinants of the differential exposure to COVID-19 in New York city and their evolution over time()
title_short JUE Insight: The determinants of the differential exposure to COVID-19 in New York city and their evolution over time()
title_sort jue insight: the determinants of the differential exposure to covid-19 in new york city and their evolution over time()
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8886421/
https://www.ncbi.nlm.nih.gov/pubmed/35250111
http://dx.doi.org/10.1016/j.jue.2020.103293
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