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Behavior and the Transmission of COVID-19

Author

Listed:
  • Andrew Atkeson
  • Karen A. Kopecky
  • Tao Zha
Abstract
We show that a simple model of COVID-19 that incorporates feedback from disease prevalence to disease transmission through an endogenous response of human behavior does a remarkable job fitting the main features of the data on the growth rates of daily deaths observed across a large number countries and states of the United States from March to November of 2020. This finding, however, suggests a new empirical puzzle. Using an accounting procedure akin to that used for Business Cycle Accounting as in Chari et al. (2007), we show that when the parameters of the behavioral response of transmission to disease prevalence are estimated from the early phase of the epidemic, very large wedges that shift disease transmission rates holding disease prevalence fixed are required both across regions and within a region over time for the model to match the data on deaths from COVID-19 as an equilibrium outcome exactly. We show that these wedges correspond to large shifts in model forecasts for the long-run attack rate of COVID-19 both across locations and over time. Future research should focus on understanding the sources in these wedges in the relationship between disease prevalence and disease transmission.

Suggested Citation

  • Andrew Atkeson & Karen A. Kopecky & Tao Zha, 2021. "Behavior and the Transmission of COVID-19," Staff Report 618, Federal Reserve Bank of Minneapolis.
    • Handle: RePEc:fip:fedmsr:89806
    DOI: 10.21034/sr.618
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    References listed on IDEAS

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    Cited by:

    1. Eichenbaum, Martin S. & Rebelo, Sergio & Trabandt, Mathias, 2022. "The macroeconomics of testing and quarantining," Journal of Economic Dynamics and Control, Elsevier, vol. 138(C).
    2. Goodkin-Gold, Matthew & Kremer, Michael & Snyder, Christopher M. & Williams, Heidi, 2022. "Optimal vaccine subsidies for endemic diseases," International Journal of Industrial Organization, Elsevier, vol. 84(C).
    3. Carnehl, Christoph & Fukuda, Satoshi & Kos, Nenad, 2023. "Epidemics with behavior," Journal of Economic Theory, Elsevier, vol. 207(C).
    4. Lin Ma & Gil Shapira & Damien de Walque & Quy‐Toan Do & Jed Friedman & Andrei A. Levchenko, 2022. "The Intergenerational Mortality Trade‐Off Of Covid‐19 Lockdown Policies," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 63(3), pages 1427-1468, August.
    5. Yinon Bar-On & Tatiana Baron & Ofer Cornfeld & Eran Yashiv, 2023. "When to Lock, Not Whom: Managing Epidemics Using Time-Based Restrictions," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 51, pages 292-321, December.
    6. Stefan Pollinger, 2023. "Optimal Contact Tracing and Social Distancing Policies to Suppress A New Infectious Disease," The Economic Journal, Royal Economic Society, vol. 133(654), pages 2483-2503.
    7. 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.
    8. Paul Ho, 2021. "Forecasting in the Absence of Precedent," Working Paper 21-10, Federal Reserve Bank of Richmond.
    9. Brooks, Wyatt & Donovan, Kevin & Johnson, Terence R. & Oluoch-Aridi, Jackline, 2022. "Cash transfers as a response to COVID-19: Experimental evidence from Kenya," Journal of Development Economics, Elsevier, vol. 158(C).
    10. Proaño, Christian R. & Kukacka, Jiri & Makarewicz, Tomasz, 2024. "Belief-driven dynamics in a behavioral SEIRD macroeconomic model with sceptics," Journal of Economic Behavior & Organization, Elsevier, vol. 217(C), pages 312-333.
    11. Hsu, Wen-Tai & Lin, Hsuan-Chih (Luke) & Yang, Han, 2023. "Between lives and economy: COVID-19 containment policy in open economies," European Economic Review, Elsevier, vol. 157(C).

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    More about this item

    Keywords

    COVID-19; Behavior; Epidemics;
    All these keywords.

    JEL classification:

    • E10 - Macroeconomics and Monetary Economics - - General Aggregative Models - - - General
    • E17 - Macroeconomics and Monetary Economics - - General Aggregative Models - - - Forecasting and Simulation: Models and Applications
    • I10 - Health, Education, and Welfare - - Health - - - General
    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health

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