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Risk Aversion, Offsetting Community Effects, and COVID-19: Evidence from an Indoor Political Rally

Author

Listed:
  • Dhaval M. Dave
  • Andrew I. Friedson
  • Kyutaro Matsuzawa
  • Drew McNichols
  • Connor Redpath
  • Joseph J. Sabia

Abstract

The Centers for Disease Control and Prevention (CDC) deems large indoor gatherings without social distancing the “highest risk” activity for COVID-19 contagion. On June 20, 2020, President Donald J. Trump held his first mass campaign rally following the US coronavirus outbreak at the indoor Bank of Oklahoma (BOK) arena. In the weeks following the event, numerous high-profile national news outlets reported that the Trump rally was “more than likely” the cause of a coronavirus surge in Tulsa county based on time series data. This study is the first to rigorously explore the impacts of this event on social distancing and COVID-19 spread. First, using data from SafeGraph Inc, we show that while non-resident visits to census block groups hosting the Trump event grew by approximately 25 percent, there was no decline in net stay-at-home behavior in Tulsa county, reflecting important offsetting behavioral effects. Then, using data on COVID-19 cases and deaths from the CDC and a synthetic control design, we find little evidence that COVID-19 grew more rapidly in Tulsa County, its border counties, or in the state of Oklahoma than each’s estimated counterfactual during the five-week post-treatment period we observe. Difference-in-differences estimates further provide no evidence that COVID-19 rates grew faster in counties that drew relatively larger shares of residents to the event. We conclude that offsetting risk-related behavioral responses to the rally — including voluntary closures of restaurants and bars in downtown Tulsa, increases in stay-at-home behavior, displacement of usual activities of weekend inflows, and smaller-than-expected crowd attendance — may be important mechanisms.

Suggested Citation

  • Dhaval M. Dave & Andrew I. Friedson & Kyutaro Matsuzawa & Drew McNichols & Connor Redpath & Joseph J. Sabia, 2020. "Risk Aversion, Offsetting Community Effects, and COVID-19: Evidence from an Indoor Political Rally," NBER Working Papers 27522, National Bureau of Economic Research, Inc.
    • Handle: RePEc:nbr:nberwo:27522
    Note: AG EH LE LS PE
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    References listed on IDEAS

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    1. Dhaval M. Dave & Andrew I. Friedson & Kyutaro Matsuzawa & Drew McNichols & Joseph J. Sabia, 2020. "Are the Effects of Adoption and Termination of Shelter-in-Place Orders Symmetric? Evidence from a Natural Experiment," NBER Working Papers 27322, National Bureau of Economic Research, Inc.
    2. Dave, Dhaval M. & Friedson, Andrew I. & Matsuzawa, Kyutaro & McNichols, Drew & Sabia, Joseph J., 2020. "Did the Wisconsin Supreme Court Restart a COVID-19 Epidemic? Evidence from a Natural Experiment," IZA Discussion Papers 13314, Institute of Labor Economics (IZA).
    3. Scott Cunningham & Manisha Shah, 2018. "Decriminalizing Indoor Prostitution: Implications for Sexual Violence and Public Health," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 85(3), pages 1683-1715.
    4. John M. Barrios & Yael Hochberg, 2020. "Risk Perception Through the Lens of Politics in the Time of the COVID-19 Pandemic," NBER Working Papers 27008, National Bureau of Economic Research, Inc.
    5. Abadie, Alberto & Diamond, Alexis & Hainmueller, Jens, 2010. "Synthetic Control Methods for Comparative Case Studies: Estimating the Effect of California’s Tobacco Control Program," Journal of the American Statistical Association, American Statistical Association, vol. 105(490), pages 493-505.
    6. Thomas C. Buchmueller & John DiNardo & Robert G. Valletta, 2011. "The Effect of an Employer Health Insurance Mandate on Health Insurance Coverage and the Demand for Labor: Evidence from Hawaii," American Economic Journal: Economic Policy, American Economic Association, vol. 3(4), pages 25-51, November.
    7. Irene Botosaru & Bruno Ferman, 2019. "On the role of covariates in the synthetic control method," The Econometrics Journal, Royal Economic Society, vol. 22(2), pages 117-130.
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    Cited by:

    1. Dhaval M. Dave & Drew McNichols & Joseph J. Sabia, 2021. "Political Violence, Risk Aversion, and Non-Localized Disease Spread: Evidence from the U.S. Capitol Riot," NBER Working Papers 28410, National Bureau of Economic Research, Inc.
    2. 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).
    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. Dhaval M. Dave & Joseph J. Sabia & Samuel Safford, 2021. "The Limits of Reopening Policy to Alter Economic Behavior: New Evidence from Texas," NBER Working Papers 28804, National Bureau of Economic Research, Inc.
    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. Dhaval Dave & Joseph J. Sabia & Samuel Safford, 2022. "The limits of reopening policy to alter economic behavior: New evidence from Texas," Journal of Risk and Uncertainty, Springer, vol. 64(2), pages 109-145, April.
    7. Sen, Anindya & Baker, John David & Zhang, Qihuang & Agarwal, Rishav Raj & Lam, Jean-Paul, 2023. "Do more stringent policies reduce daily COVID-19 case counts? Evidence from Canadian provinces," Economic Analysis and Policy, Elsevier, vol. 78(C), pages 225-242.
    8. Fischer Kai, 2022. "Thinning out spectators: Did football matches contribute to the second COVID-19 wave in Germany?," German Economic Review, De Gruyter, vol. 23(4), pages 595-640, December.
    9. Dhaval Dave & Drew McNichols & Joseph J. Sabia, 2021. "The contagion externality of a superspreading event: The Sturgis Motorcycle Rally and COVID‐19," Southern Economic Journal, John Wiley & Sons, vol. 87(3), pages 769-807, January.
    10. Charles Courtemanche & Joseph Garuccio & Anh Le & Joshua Pinkston & Aaron Yelowitz, 2021. "Chance elections, social distancing restrictions, and KENTUCKY’s early COVID-19 experience," PLOS ONE, Public Library of Science, vol. 16(7), pages 1-19, July.

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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
    • I1 - Health, Education, and Welfare - - Health

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