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Economic and Epidemiological Effects of Mandated and Spontaneous Social Distancing

Author

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  • Bodenstein, M.
  • Corsetti, G.
  • Guerrieri, L.

Abstract

Based on a standard epidemiological model, we derive and apply empirical tests of the hypothesis that contacts, as proxied by mobility data, have an effect on the spread of the coronavirus epidemic, as summarized by the reproduction rates, and on economic activity, as captured by subsequent initial claims to unemployment benefits. We show that changes in mobility through the first quarters of 2020, be it spontaneous or mandated, had significant effects on both the spread of the coronavirus and the economy. Strikingly, we find that spontaneous social distancing was no less costly than mandated social distancing. Our results suggest that the rebound in economic activity when stay-at-home orders were lifted was primarily driven by the improvement in epidemiological parameters. In other words, without the reduction in the reproduction rate of the coronavirus, we could have expected a doubling down on spontaneous social distancing.

Suggested Citation

  • Bodenstein, M. & Corsetti, G. & Guerrieri, L., 2021. "Economic and Epidemiological Effects of Mandated and Spontaneous Social Distancing," Cambridge Working Papers in Economics 2117, Faculty of Economics, University of Cambridge.
    • Handle: RePEc:cam:camdae:2117
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    References listed on IDEAS

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    1. Sumedha Gupta & Laura Montenovo & Thuy Nguyen & Felipe Lozano‐Rojas & Ian Schmutte & Kosali Simon & Bruce A. Weinberg & Coady Wing, 2023. "Effects of social distancing policy on labor market outcomes," Contemporary Economic Policy, Western Economic Association International, vol. 41(1), pages 166-193, January.
    2. Veronica Guerrieri & Guido Lorenzoni & Ludwig Straub & Iván Werning, 2022. "Macroeconomic Implications of COVID-19: Can Negative Supply Shocks Cause Demand Shortages?," American Economic Review, American Economic Association, vol. 112(5), pages 1437-1474, May.
    3. Callum Jones & Thomas Philippon & Venky Venkateswaran, 2021. "Optimal Mitigation Policies in a Pandemic: Social Distancing and Working from Home [A simple planning problem for covid-19 lockdown]," The Review of Financial Studies, Society for Financial Studies, vol. 34(11), pages 5188-5223.
    4. Miklós Koren & Rita Pető, 2020. "Business disruptions from social distancing," PLOS ONE, Public Library of Science, vol. 15(9), pages 1-14, September.
    5. Goolsbee, Austan & Syverson, Chad, 2021. "Fear, lockdown, and diversion: Comparing drivers of pandemic economic decline 2020," Journal of Public Economics, Elsevier, vol. 193(C).
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    Cited by:

    1. Michael König & Adalbert Winkler, 2021. "The impact of government responses to the COVID-19 pandemic on GDP growth: Does strategy matter?," PLOS ONE, Public Library of Science, vol. 16(11), pages 1-16, November.
    2. Angelini, Elena & Damjanović, Milan & Darracq Pariès, Matthieu & Zimic, Srečko, 2023. "Modelling pandemic risks for policy analysis and forecasting," Economic Modelling, Elsevier, vol. 120(C).
    3. James Broughel & Michael Kotrous, 2021. "The benefits of coronavirus suppression: A cost-benefit analysis of the response to the first wave of COVID-19 in the United States," PLOS ONE, Public Library of Science, vol. 16(6), pages 1-20, June.

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    JEL classification:

    • E10 - Macroeconomics and Monetary Economics - - General Aggregative Models - - - General
    • E30 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - General (includes Measurement and Data)
    • I10 - Health, Education, and Welfare - - Health - - - General

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