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Segregation and the onset of COVID-19 in American cities

Author

Listed:
  • Francesco Andreoli
  • Vincenzo Prete
  • Claudio Zoli

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.

Suggested Citation

  • Francesco Andreoli & Vincenzo Prete & Claudio Zoli, 2024. "Segregation and the onset of COVID-19 in American cities," Journal of Economic Studies, Emerald Group Publishing Limited, vol. 51(9), pages 290-305, July.
    • Handle: RePEc:eme:jespps:jes-01-2024-0016
    DOI: 10.1108/JES-01-2024-0016
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    More about this item

    Keywords

    Segregation; COVID-19; American community survey; R23; D63; D85;
    All these keywords.

    JEL classification:

    • R23 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - Regional Migration; Regional Labor Markets; Population
    • D63 - Microeconomics - - Welfare Economics - - - Equity, Justice, Inequality, and Other Normative Criteria and Measurement
    • D85 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Network Formation

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