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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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    1. Brzezinski, Adam & Deiana, Guido & Kecht, Valentin & Van Dijcke, David, 2020. "The COVID-19 Pandemic: Government vs. Community Action Across the United States," INET Oxford Working Papers 2020-06, Institute for New Economic Thinking at the Oxford Martin School, University of Oxford.
    2. Dhaval Dave & Andrew I. Friedson & Kyutaro Matsuzawa & Joseph J. Sabia, 2021. "When Do Shelter‐In‐Place Orders Fight Covid‐19 Best? Policy Heterogeneity Across States And Adoption Time," Economic Inquiry, Western Economic Association International, vol. 59(1), pages 29-52, January.
    3. Austin L. Wright & Geet Chawla & Luke Chen & Anthony Farmer, 2020. "Tracking Mask Mandates during the COVID-19 Pandemic," Working Papers 2020-104, Becker Friedman Institute for Research In Economics.
    4. Leonardo Baccini & Abel Brodeur & Stephen Weymouth, 2021. "The COVID-19 pandemic and the 2020 US presidential election," Journal of Population Economics, Springer;European Society for Population Economics, vol. 34(2), pages 739-767, April.
    5. Abel Brodeur & Idaliya Grigoryeva & Lamis Kattan, 2021. "Stay-at-home orders, social distancing, and trust," Journal of Population Economics, Springer;European Society for Population Economics, vol. 34(4), pages 1321-1354, October.
    6. Bargain, Olivier & Aminjonov, Ulugbek, 2020. "Trust and compliance to public health policies in times of COVID-19," Journal of Public Economics, Elsevier, vol. 192(C).
    7. C de Chaisemartin & X D’HaultfŒuille, 2018. "Fuzzy Differences-in-Differences," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 85(2), pages 999-1028.
    8. Callaway, Brantly & Sant’Anna, Pedro H.C., 2021. "Difference-in-Differences with multiple time periods," Journal of Econometrics, Elsevier, vol. 225(2), pages 200-230.
    9. Neil M. Ferguson & Derek A. T. Cummings & Christophe Fraser & James C. Cajka & Philip C. Cooley & Donald S. Burke, 2006. "Strategies for mitigating an influenza pandemic," Nature, Nature, vol. 442(7101), pages 448-452, July.
    10. Diane Alexander & Ezra Karger, 2023. "Do Stay-at-Home Orders Cause People to Stay at Home? Effects of Stay-at-Home Orders on Consumer Behavior," The Review of Economics and Statistics, MIT Press, vol. 105(4), pages 1017-1027, July.
    11. Nicholas W. Papageorge & Matthew V. Zahn & Michèle Belot & Eline Broek-Altenburg & Syngjoo Choi & Julian C. Jamison & Egon Tripodi, 2021. "Socio-demographic factors associated with self-protecting behavior during the Covid-19 pandemic," Journal of Population Economics, Springer;European Society for Population Economics, vol. 34(2), pages 691-738, April.
    12. Yun Qiu & Xi Chen & Wei Shi, 2020. "Impacts of social and economic factors on the transmission of coronavirus disease 2019 (COVID-19) in China," Journal of Population Economics, Springer;European Society for Population Economics, vol. 33(4), pages 1127-1172, October.
    13. de Chaisemartin, Clement & D'Haultfoeuille, Xavier, 2014. "Fuzzy Changes-in Changes," CAGE Online Working Paper Series 184, Competitive Advantage in the Global Economy (CAGE).
    14. Andrew Goodman-Bacon, 2018. "Difference-in-Differences with Variation in Treatment Timing," NBER Working Papers 25018, National Bureau of Economic Research, Inc.
    15. David S. Lee & Enrico Moretti & Matthew J. Butler, 2004. "Do Voters Affect or Elect Policies? Evidence from the U. S. House," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 119(3), pages 807-859.
    16. Karlsson, Martin & Nilsson, Therese & Pichler, Stefan, 2014. "The impact of the 1918 Spanish flu epidemic on economic performance in Sweden," Journal of Health Economics, Elsevier, vol. 36(C), pages 1-19.
    17. Andrew I. Friedson & Drew McNichols & Joseph J. Sabia & Dhaval Dave, 2020. "Did California’s Shelter-in-Place Order Work? Early Coronavirus-Related Public Health Effects," NBER Working Papers 26992, National Bureau of Economic Research, Inc.
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    3. 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.
    4. 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.
    5. 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).
    6. 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.
    7. 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.
    8. 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.
    9. 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.
    10. 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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    More about this item

    Keywords

    COVID-19; Mortality; Infections; Non-pharmaceutical interventions; United States;
    All these keywords.

    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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