Abstract
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.
Original language | English |
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Pages (from-to) | 290-305 |
Number of pages | 16 |
Journal | Journal of Economic Studies |
Volume | 51 |
Issue number | 9 |
DOIs | |
Publication status | Published - 23 Jul 2024 |
Keywords
- segregation
- Covid-19
- American Community Survey