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The COVID-19 Pandemic: Government vs. Community Action Across the United States

Author

Listed:
  • Brzezinski, Adam
  • Deiana, Guido
  • Kecht, Valentin
  • Van Dijcke, David

Abstract

Are lockdown policies effective at inducing physical distancing to counter the spread of COVID-19? Can less restrictive measures that rely on voluntary community action achieve a similar effect? Using data from 40 million mobile devices, we find that a lockdown increases the percentage of people who stay at home by 8\% across US counties. Grouping states with similar outbreak trajectories together and using an instrumental variablesapproach, we show that time spent at home can increase by as much as 39\%. Moreover, we show that individuals engage in limited physical distancing even in the absence of such policies, once the virus takes hold in their area. Our analysis suggests that non-causal estimates of lockdown policies' effects can yield biased results. We show that counties where people have less distrust in science, are more highly educated, or have higher incomes see a substantially higher uptake of voluntary physical distancing. This suggests that the targeted promotion of distancing among less responsive groups may be as effective as across-the-board lockdowns, while also being less damaging to the economy.

Suggested Citation

  • 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.
  • Handle: RePEc:amz:wpaper:2020-06
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    References listed on IDEAS

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    1. Oscar Jorda & Sanjay R. Singh & Alan M. Taylor, 2022. "Longer-Run Economic Consequences of Pandemics," The Review of Economics and Statistics, MIT Press, vol. 104(1), pages 166-175, March.
    2. Luigi Guiso & Paola Sapienza & Luigi Zingales, 2004. "The Role of Social Capital in Financial Development," American Economic Review, American Economic Association, vol. 94(3), pages 526-556, June.
    3. Allcott, Hunt & Boxell, Levi & Conway, Jacob & Gentzkow, Matthew & Thaler, Michael & Yang, David, 2020. "Polarization and public health: Partisan differences in social distancing during the coronavirus pandemic," Journal of Public Economics, Elsevier, vol. 191(C).
    4. Borjas, George J., 2020. "Demographic Determinants of Testing Incidence and COVID-19 Infections in New York City Neighborhoods," IZA Discussion Papers 13115, Institute of Labor Economics (IZA).
    5. Robert J. Barro & José F. Ursua & Joanna Weng, 2020. "The Coronavirus and the Great Influenza Epidemic - Lessons from the "Spanish Flu" for the Coronavirus's Potential Effects on Mortality and Economic Activity," CESifo Working Paper Series 8166, CESifo.
    6. Athey, Susan & Imbens, Guido W., 2022. "Design-based analysis in Difference-In-Differences settings with staggered adoption," Journal of Econometrics, Elsevier, vol. 226(1), pages 62-79.
    7. repec:aei:rpaper:1008560098 is not listed on IDEAS
    8. Andrew Goodman-Bacon, 2018. "Difference-in-Differences with Variation in Treatment Timing," NBER Working Papers 25018, National Bureau of Economic Research, Inc.
    9. Arnstein Aassve & Guido Alfani & Francesco Gandolfi & Marco Le Moglie, 2021. "Epidemics and trust: The case of the Spanish Flu," Health Economics, John Wiley & Sons, Ltd., vol. 30(4), pages 840-857, April.
    10. Myrskylä, M. & Mehta, N.K. & Chang, V.W., 2013. "Early life exposure to the 1918 influenza pandemic and old-age mortality by cause of death," American Journal of Public Health, American Public Health Association, vol. 103(7), pages 83-90.
    11. Robert J. Barro & José F. Ursúa & Joanna Weng, 2020. "The Coronavirus and the Great Influenza Pandemic: Lessons from the “Spanish Flu” for the Coronavirus’s Potential Effects on Mortality and Economic Activity," NBER Working Papers 26866, National Bureau of Economic Research, Inc.
    12. Claudia Williamson, 2009. "Informal institutions rule: institutional arrangements and economic performance," Public Choice, Springer, vol. 139(3), pages 371-387, June.
    13. Peter D. Howe & Matto Mildenberger & Jennifer R. Marlon & Anthony Leiserowitz, 2015. "Geographic variation in opinions on climate change at state and local scales in the USA," Nature Climate Change, Nature, vol. 5(6), pages 596-603, June.
    14. Brian Beach & Joseph P. Ferrie & Martin H. Saavedra, 2018. "Fetal Shock or Selection? The 1918 Influenza Pandemic and Human Capital Development," NBER Working Papers 24725, National Bureau of Economic Research, Inc.
    15. Horrace, William C. & Oaxaca, Ronald L., 2006. "Results on the bias and inconsistency of ordinary least squares for the linear probability model," Economics Letters, Elsevier, vol. 90(3), pages 321-327, March.
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    More about this item

    Keywords

    COVID-19; difference-in-differences; instrumental variables; NPI; community action; physical distancing; big data;
    All these keywords.

    JEL classification:

    • I12 - Health, Education, and Welfare - - Health - - - Health Behavior
    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health
    • H12 - Public Economics - - Structure and Scope of Government - - - Crisis Management
    • H75 - Public Economics - - State and Local Government; Intergovernmental Relations - - - State and Local Government: Health, Education, and Welfare
    • D04 - Microeconomics - - General - - - Microeconomic Policy: Formulation; Implementation; Evaluation

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