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The effect of stay-at-home orders on COVID-19 cases and fatalities in the United States

Author

Listed:
  • James H. Fowler
  • Seth J. Hill
  • Remy Levin
  • Nick Obradovich

Abstract

Governments issue "stay at home" orders to reduce the spread of contagious diseases, but the magnitude of such orders' effectiveness is uncertain. In the United States these orders were not coordinated at the national level during the coronavirus disease 2019 (COVID-19) pandemic, which creates an opportunity to use spatial and temporal variation to measure the policies' effect with greater accuracy. Here, we combine data on the timing of stay-at-home orders with daily confirmed COVID-19 cases and fatalities at the county level in the United States. We estimate the effect of stay-at-home orders using a difference-in-differences design that accounts for unmeasured local variation in factors like health systems and demographics and for unmeasured temporal variation in factors like national mitigation actions and access to tests. Compared to counties that did not implement stay-at-home orders, the results show that the orders are associated with a 30.2 percent (11.0 to 45.2) reduction in weekly cases after one week, a 40.0 percent (23.4 to 53.0) reduction after two weeks, and a 48.6 percent (31.1 to 61.7) reduction after three weeks. Stay-at-home orders are also associated with a 59.8 percent (18.3 to 80.2) reduction in weekly fatalities after three weeks. These results suggest that stay-at-home orders reduced confirmed cases by 390,000 (170,000 to 680,000) and fatalities by 41,000 (27,000 to 59,000) within the first three weeks in localities where they were implemented.

Suggested Citation

  • James H. Fowler & Seth J. Hill & Remy Levin & Nick Obradovich, 2020. "The effect of stay-at-home orders on COVID-19 cases and fatalities in the United States," Papers 2004.06098, arXiv.org, revised May 2020.
  • Handle: RePEc:arx:papers:2004.06098
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    References listed on IDEAS

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    Cited by:

    1. Wright, Austin L. & Sonin, Konstantin & Driscoll, Jesse & Wilson, Jarnickae, 2020. "Poverty and economic dislocation reduce compliance with COVID-19 shelter-in-place protocols," Journal of Economic Behavior & Organization, Elsevier, vol. 180(C), pages 544-554.
    2. Hakan Yilmazkuday, 2021. "Unequal welfare costs of staying at home across socioeconomic and demographic groups," International Journal of Urban Sciences, Taylor & Francis Journals, vol. 25(3), pages 347-365, July.
    3. Amuedo-Dorantes, Catalina & Marcén, Miriam & Morales, Marina & Sevilla, Almudena, 2023. "Schooling and parental labor supply: evidence from COVID-19 school closures in the United States," LSE Research Online Documents on Economics 122402, London School of Economics and Political Science, LSE Library.
    4. Alexandre K Ligo & Emerson Mahoney & Jeffrey Cegan & Benjamin D Trump & Andrew S Jin & Maksim Kitsak & Jesse Keenan & Igor Linkov, 2021. "Relationship among state reopening policies, health outcomes and economic recovery through first wave of the COVID-19 pandemic in the U.S," PLOS ONE, Public Library of Science, vol. 16(11), pages 1-21, November.
    5. Carlos B. Carneiro & I'uri H. Ferreira & Marcelo C. Medeiros & Henrique F. Pires & Eduardo Zilberman, 2020. "Lockdown effects in US states: an artificial counterfactual approach," Papers 2009.13484, arXiv.org, revised Feb 2021.
    6. Francis de Véricourt & Huseyin Gurkan & Shouqiang Wang, 2021. "Informing the Public About a Pandemic," Management Science, INFORMS, vol. 67(10), pages 6350-6357, October.
    7. Paolo Nicola Barbieri & Beatrice Bonini, 2021. "Political orientation and adherence to social distancing during the COVID-19 pandemic in Italy," Economia Politica: Journal of Analytical and Institutional Economics, Springer;Fondazione Edison, vol. 38(2), pages 483-504, July.
    8. Amuedo-Dorantes, Catalina & Marcén, Miriam & Morales, Marina & Sevilla, Almudena, 2020. "COVID-19 School Closures and Parental Labor Supply in the United States," IZA Discussion Papers 13827, Institute of Labor Economics (IZA).
    9. Francis de Véricourt, & Huseyin Gurkan, & Shouqiang Wang,, 2020. "Informing the public about a pandemic," ESMT Research Working Papers ESMT-20-03, ESMT European School of Management and Technology.
    10. Francis de Véricourt, & Huseyin Gurkan, & Shouqiang Wang,, 2020. "Informing the public about a pandemic," ESMT Research Working Papers ESMT-20-03, ESMT European School of Management and Technology, revised 11 Feb 2021.
    11. González-Val, Rafael & Marcén, Miriam, 2022. "Mass gathering events and the spread of infectious diseases: Evidence from the early growth phase of COVID-19," Economics & Human Biology, Elsevier, vol. 46(C).
    12. Yun Li & Moming Li & Megan Rice & Haoyuan Zhang & Dexuan Sha & Mei Li & Yanfang Su & Chaowei Yang, 2021. "The Impact of Policy Measures on Human Mobility, COVID-19 Cases, and Mortality in the US: A Spatiotemporal Perspective," IJERPH, MDPI, vol. 18(3), pages 1-23, January.
    13. Germain Gauthier, 2021. "On the Use of Two-Way Fixed Effects Models for Policy Evaluation During Pandemics," Papers 2106.10949, arXiv.org.
    14. Martin Huber & Henrika Langen, 2020. "Timing matters: the impact of response measures on COVID-19-related hospitalization and death rates in Germany and Switzerland," Swiss Journal of Economics and Statistics, Springer;Swiss Society of Economics and Statistics, vol. 156(1), pages 1-19, December.
    15. Qifeng Wan & Xuanhua Xu & Kyle Hunt & Jun Zhuang, 2022. "Stay Home or Not? Modeling Individuals’ Decisions During the COVID-19 Pandemic," Decision Analysis, INFORMS, vol. 19(4), pages 319-336, December.
    16. Shenoy, Ajay & Sharma, Bhavyaa & Xu, Guanghong & Kapoor, Rolly & Rho, Haedong Aiden & Sangha, Kinpritma, 2022. "God is in the rain: The impact of rainfall-induced early social distancing on COVID-19 outbreaks," Journal of Health Economics, Elsevier, vol. 81(C).
    17. Frank Nielsen & Gautier Marti & Sumanta Ray & Saumyadipta Pyne, 2021. "Clustering Patterns Connecting COVID-19 Dynamics and Human Mobility Using Optimal Transport," Sankhya B: The Indian Journal of Statistics, Springer;Indian Statistical Institute, vol. 83(1), pages 167-184, May.
    18. Fayaz Farkhad, Bita & Albarracín, Dolores, 2021. "Insights on the implications of COVID-19 mitigation measures for mental health," Economics & Human Biology, Elsevier, vol. 40(C).
    19. Léa BOU SLEIMAN & Germain GAUTHIER, 2020. "COVID-19: Reduced forms have gone viral, but what do they tell us?," Working Papers 2020-32, Center for Research in Economics and Statistics, revised 18 Jan 2021.

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