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When Do Shelter‐In‐Place Orders Fight Covid‐19 Best? Policy Heterogeneity Across States And Adoption Time

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Listed:
  • Dhaval Dave
  • Andrew I. Friedson
  • Kyutaro Matsuzawa
  • Joseph J. Sabia
Abstract
This study explores the impact of Shelter‐in‐Place Orders (SIPOs) on health, with attention to heterogeneity in their impacts. First, using daily state‐level social distancing data, we document that adoption of a SIPO was associated with a 9%–10% increase in the rate at which state residents remained in their homes full‐time. Using daily state‐level coronavirus case data, we find that approximately 3 weeks following the adoption of a SIPO, cumulative COVID‐19 cases fell by approximately 53.5%. However, this average effect masks important heterogeneity across states‐early adopters and high population density states appear to reap larger benefits from their SIPOs. (JEL H75, I12, I18)

Suggested Citation

  • 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.
  • Handle: RePEc:bla:ecinqu:v:59:y:2021:i:1:p:29-52
    DOI: 10.1111/ecin.12944
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    References listed on IDEAS

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    1. Gary Solon & Steven J. Haider & Jeffrey M. Wooldridge, 2015. "What Are We Weighting For?," Journal of Human Resources, University of Wisconsin Press, vol. 50(2), pages 301-316.
    2. Pichler, Stefan & Ziebarth, Nicolas R., 2017. "The pros and cons of sick pay schemes: Testing for contagious presenteeism and noncontagious absenteeism behavior," Journal of Public Economics, Elsevier, vol. 156(C), pages 14-33.
    3. Lee Jin Young & Solon Gary, 2011. "The Fragility of Estimated Effects of Unilateral Divorce Laws on Divorce Rates," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 11(1), pages 1-11, August.
    4. James Sears & J. Miguel Villas-Boas & Sofia Berto Villas-Boas & Vasco Villas-Boas, 2023. "Are We #Stayinghome to Flatten the Curve?," American Journal of Health Economics, University of Chicago Press, vol. 9(1), pages 71-95.
    5. Dhaval M. Dave & Andrew I. Friedson & Kyutaro Matsuzawa & Joseph J. Sabia & Samuel Safford, 2020. "Were Urban Cowboys Enough to Control COVID-19? Local Shelter-in-Place Orders and Coronavirus Case Growth," NBER Working Papers 27229, National Bureau of Economic Research, Inc.
    6. Sun, Liyang & Abraham, Sarah, 2021. "Estimating dynamic treatment effects in event studies with heterogeneous treatment effects," Journal of Econometrics, Elsevier, vol. 225(2), pages 175-199.
    7. Friedson, Andrew I. & McNichols, Drew & Sabia, Joseph J. & Dave, Dhaval M., 2020. "Did California's Shelter-In-Place Order Work? Early Coronavirus-Related Public Health Effects," IZA Discussion Papers 13160, Institute of Labor Economics (IZA).
    8. Andrew Goodman-Bacon, 2018. "Difference-in-Differences with Variation in Treatment Timing," NBER Working Papers 25018, National Bureau of Economic Research, Inc.
    9. Marianne Bertrand & Esther Duflo & Sendhil Mullainathan, 2004. "How Much Should We Trust Differences-In-Differences Estimates?," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 119(1), pages 249-275.
    10. Stefan Pichler & Katherine Wen & Nicolas R. Ziebarth, 2021. "Positive Health Externalities of Mandating Paid Sick Leave," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 40(3), pages 715-743, June.
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    More about this item

    JEL classification:

    • H75 - Public Economics - - State and Local Government; Intergovernmental Relations - - - State and Local Government: Health, Education, and Welfare
    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health

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