{"title":"美国城市的种族隔离和 COVID-19 的出现","authors":"Francesco Andreoli, Vincenzo Prete, Claudio Zoli","doi":"10.1108/jes-01-2024-0016","DOIUrl":null,"url":null,"abstract":"<h3>Purpose</h3>\n<p>This paper investigates one of the potential costs of rising segregation in American cities by evaluating empirically the extent at which ethnic-based segregation contributes to the onset and the speed of propagation of the COVID-19 pandemic.</p><!--/ Abstract__block -->\n<h3>Design/methodology/approach</h3>\n<p>Regression analysis based on matched data on early incidence of COVID-19 cases, segregation and covariates. Identification resorts on variations in segregation across MSAs and heterogeneity in the geography and timing of stay-at-home orders.</p><!--/ Abstract__block -->\n<h3>Findings</h3>\n<p>One cross-MSA standard deviation increase in segregation leads to a significant and robust rise of COVID-19 cases of 8.7 per 100,000 residents across urban counties.</p><!--/ Abstract__block -->\n<h3>Originality/value</h3>\n<p>Combines spatial data on COVID-19 cases and segregation; use of a new segregation measure; focus on early incidence of the pandemic and its drivers.</p><!--/ Abstract__block -->","PeriodicalId":47604,"journal":{"name":"JOURNAL OF ECONOMIC STUDIES","volume":null,"pages":null},"PeriodicalIF":1.9000,"publicationDate":"2024-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Segregation and the onset of COVID-19 in American cities\",\"authors\":\"Francesco Andreoli, Vincenzo Prete, Claudio Zoli\",\"doi\":\"10.1108/jes-01-2024-0016\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<h3>Purpose</h3>\\n<p>This paper investigates one of the potential costs of rising segregation in American cities by evaluating empirically the extent at which ethnic-based segregation contributes to the onset and the speed of propagation of the COVID-19 pandemic.</p><!--/ Abstract__block -->\\n<h3>Design/methodology/approach</h3>\\n<p>Regression analysis based on matched data on early incidence of COVID-19 cases, segregation and covariates. Identification resorts on variations in segregation across MSAs and heterogeneity in the geography and timing of stay-at-home orders.</p><!--/ Abstract__block -->\\n<h3>Findings</h3>\\n<p>One cross-MSA standard deviation increase in segregation leads to a significant and robust rise of COVID-19 cases of 8.7 per 100,000 residents across urban counties.</p><!--/ Abstract__block -->\\n<h3>Originality/value</h3>\\n<p>Combines spatial data on COVID-19 cases and segregation; use of a new segregation measure; focus on early incidence of the pandemic and its drivers.</p><!--/ Abstract__block -->\",\"PeriodicalId\":47604,\"journal\":{\"name\":\"JOURNAL OF ECONOMIC STUDIES\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":1.9000,\"publicationDate\":\"2024-07-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"JOURNAL OF ECONOMIC STUDIES\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1108/jes-01-2024-0016\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"ECONOMICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"JOURNAL OF ECONOMIC STUDIES","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1108/jes-01-2024-0016","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ECONOMICS","Score":null,"Total":0}
Segregation and the onset of COVID-19 in American cities
Purpose
This paper investigates one of the potential costs of rising segregation in American cities by evaluating empirically the extent at which ethnic-based segregation contributes to the onset and the speed of propagation of the COVID-19 pandemic.
Design/methodology/approach
Regression analysis based on matched data on early incidence of COVID-19 cases, segregation and covariates. Identification resorts on variations in segregation across MSAs and heterogeneity in the geography and timing of stay-at-home orders.
Findings
One cross-MSA standard deviation increase in segregation leads to a significant and robust rise of COVID-19 cases of 8.7 per 100,000 residents across urban counties.
Originality/value
Combines spatial data on COVID-19 cases and segregation; use of a new segregation measure; focus on early incidence of the pandemic and its drivers.
期刊介绍：
The Journal of Economic Studies publishes high quality research findings and commentary on international developments in economics. The journal maintains a sound balance between economic theory and application at both the micro and the macro levels. Articles on economic issues between individual nations, emerging and evolving trading blocs are particularly welcomed. Contributors are encouraged to spell out the practical implications of their work for economists in government and industry
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