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Nonlinear effects of mobility on COVID-19 in the US: targeted lockdowns based on income and poverty

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  • Hakan Yilmazkuday

Abstract

Purpose - This paper investigates nonlinearities in the relationship between mobility and COVID-19 cases or deaths based on demographic or socioeconomic characteristics, with a special focus on income and poverty. Design/methodology/approach - The formal analysis is achieved by using county-level daily data from the US, where a difference-in-difference design is employed. Nonlinearities in the relationship between mobility and COVID-19 cases or deaths are investigated by regressing weekly percentage changes in COVID-19 cases or deaths on mobility measures, where county fixed effects and daily fixed effects are controlled for. The main innovation is achieved by distinguishing between the coefficients in front of mobility measures across US counties based on their demographic or socioeconomic characteristics. Findings - The results suggest that the positive effects of mobility on COVID-19 cases increase with poverty, per capita income, commuting time or population, whereas they decrease with health insurance or grandparents responsible for grandchildren. Originality/value - Important policy implications follow regarding where mobility restrictions would work better to fight against COVID-19 through targeted lockdowns.

Suggested Citation

  • Hakan Yilmazkuday, 2022. "Nonlinear effects of mobility on COVID-19 in the US: targeted lockdowns based on income and poverty," Journal of Economic Studies, Emerald Group Publishing Limited, vol. 50(1), pages 18-36, April.
    • Handle: RePEc:eme:jespps:jes-11-2021-0596
    DOI: 10.1108/JES-11-2021-0596
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    References listed on IDEAS

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    1. Daron Acemoglu & Victor Chernozhukov & Iván Werning & Michael D. Whinston, 2021. "Optimal Targeted Lockdowns in a Multigroup SIR Model," American Economic Review: Insights, American Economic Association, vol. 3(4), pages 487-502, December.
    2. repec:rza:wpaper:826 is not listed on IDEAS
    3. Caitlin S. Brown & Martin Ravallion, 2020. "Inequality and the Coronavirus: Socioeconomic Covariates of Behavioral Responses and Viral Outcomes Across US Counties," NBER Working Papers 27549, National Bureau of Economic Research, Inc.
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    Cited by:

    1. Pažický Martin, 2023. "The Effects of Social Distancing Measures on COVID-19 Spreads in European Countries," Review of Economic Perspectives, Sciendo, vol. 23(2), pages 105-158, June.

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    More about this item

    Keywords

    Coronavirus; COVID-19; Mobility; Demographics; Lockdowns;
    All these keywords.

    JEL classification:

    • I10 - Health, Education, and Welfare - - Health - - - General
    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health

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