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Timing of social distancing policies and COVID-19 mortality: county-level evidence from the U.S

Author

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  • Catalina Amuedo-Dorantes

    (University of California Merced)

  • Neeraj Kaushal

    (Columbia University)

  • Ashley N. Muchow

    (University of Illinois at Chicago)

Abstract

Using county-level data on COVID-19 mortality and infections, along with county-level information on the adoption of non-pharmaceutical interventions (NPIs), we examine how the speed of NPI adoption affected COVID-19 mortality in the United States. Our estimates suggest that adopting safer-at-home orders or non-essential business closures 1 day before infections double can curtail the COVID-19 death rate by 1.9%. This finding proves robust to alternative measures of NPI adoption speed, model specifications that control for testing, other NPIs, and mobility and across various samples (national, the Northeast, excluding New York, and excluding the Northeast). We also find that the adoption speed of NPIs is associated with lower infections and is unrelated to non-COVID deaths, suggesting these measures slowed contagion. Finally, NPI adoption speed appears to have been less effective in Republican counties, suggesting that political ideology might have compromised their efficacy.

Suggested Citation

  • Catalina Amuedo-Dorantes & Neeraj Kaushal & Ashley N. Muchow, 2021. "Timing of social distancing policies and COVID-19 mortality: county-level evidence from the U.S," Journal of Population Economics, Springer;European Society for Population Economics, vol. 34(4), pages 1445-1472, October.
    • Handle: RePEc:spr:jopoec:v:34:y:2021:i:4:d:10.1007_s00148-021-00845-2
    DOI: 10.1007/s00148-021-00845-2
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    3. Ján Palguta & René Levínský & Samuel Škoda, 2022. "Do elections accelerate the COVID-19 pandemic?," Journal of Population Economics, Springer;European Society for Population Economics, vol. 35(1), pages 197-240, January.
    4. Feng Wang & Xing Ge & Danwen Huang, 2022. "Government Intervention, Human Mobility, and COVID-19: A Causal Pathway Analysis from 121 Countries," Sustainability, MDPI, vol. 14(6), pages 1-26, March.
    5. Guilhem Cassan & Marc Sangnier, 2022. "The impact of 2020 French municipal elections on the spread of COVID-19," Journal of Population Economics, Springer;European Society for Population Economics, vol. 35(3), pages 963-988, July.
    6. Ján Palguta & Levínský, René & Škoda, Samuel, 2021. "Do Elections Accelerate the COVID-19 Pandemic? Evidence from a Natural Experiment," GLO Discussion Paper Series 891, Global Labor Organization (GLO).
    7. Hiroaki Funahashi & Alexander Cardazzi & Nicholas Masafumi Watanabe, 2023. "Mass Gathering Sport Events and the Spread of Viral Respiratory Infection: Japanese Professional Baseball and Influenza," Journal of Sports Economics, , vol. 24(5), pages 551-578, June.
    8. Steffen Juranek & Floris T. Zoutman, 2021. "The effect of non-pharmaceutical interventions on the demand for health care and on mortality: evidence from COVID-19 in Scandinavia," Journal of Population Economics, Springer;European Society for Population Economics, vol. 34(4), pages 1299-1320, October.
    9. William Clyde & Andreas Kakolyris & Georgios Koimisis, 2021. "A Study of the Effectiveness of Governmental Strategies for Managing Mortality from COVID-19," Eastern Economic Journal, Palgrave Macmillan;Eastern Economic Association, vol. 47(4), pages 487-505, October.
    10. Ege Aksu & Prabal K. De & Laxman Timilsina, 2024. "New evidence on the health and employment effects of non-pharmaceutical COVID-19 interventions on workers in the United States," Empirical Economics, Springer, vol. 67(6), pages 2771-2819, December.
    11. Mauro Caselli & Andrea Fracasso & Sergio Scicchitano, 2022. "From the lockdown to the new normal: individual mobility and local labor market characteristics following the COVID-19 pandemic in Italy," Journal of Population Economics, Springer;European Society for Population Economics, vol. 35(4), pages 1517-1550, October.

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    Keywords

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    JEL classification:

    • I1 - Health, Education, and Welfare - - Health
    • I10 - Health, Education, and Welfare - - Health - - - General
    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health

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