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Were Urban Cowboys Enough to Control COVID-19? Local Shelter-in-Place Orders and Coronavirus Case Growth

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  • Dhaval M. Dave
  • Andrew I. Friedson
  • Kyutaro Matsuzawa
  • Joseph J. Sabia
  • Samuel Safford

Abstract

One of the most common policy prescriptions to reduce the spread of COVID-19 has been to legally enforce social distancing through state or local shelter-in-place orders (SIPOs). This paper is the first to explore the comparative effectiveness of early county-level SIPOs versus later statewide mandates in curbing COVID-19 growth. We exploit the unique laboratory of Texas, a state in which the early adoption of local SIPOs by densely populated counties covered almost two-thirds of the state’s population prior to Texas’s adoption of a statewide SIPO on April 2, 2020. Using an event study framework, we document that countywide SIPO adoption is associated with a 14 percent increase in the percent of residents who remain at home full-time, a social distancing effect that is largest in urbanized and densely populated counties. Then, we find that in early adopting counties, COVID-19 case growth fell by 19 to 26 percentage points two-and-a-half weeks following adoption of a SIPO, a result robust to controls for county-level heterogeneity in outbreak timing, coronavirus testing, and border SIPO policies. This effect is driven nearly entirely by highly urbanized and densely populated counties. We find that approximately 90 percent of the curbed growth in COVID-19 cases in Texas came from the early adoption of SIPOs by urbanized counties, suggesting that the later statewide shelter-in-place mandate yielded relatively few health benefits.

Suggested Citation

  • 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.
  • Handle: RePEc:nbr:nberwo:27229
    Note: AG EH LE PE
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    References listed on IDEAS

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    1. 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.
    2. Andrew Goodman-Bacon, 2018. "Difference-in-Differences with Variation in Treatment Timing," NBER Working Papers 25018, National Bureau of Economic Research, Inc.
    3. 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.
    4. 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.
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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
    • R0 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General

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