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Work Context and Industrial Composition Determine the Epidemiological Responses in a Multi-Group SIR Model

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  • Christopher Blackburn
  • Juan Moreno-Cruz

    (Bureau of Economic Analysis)

Abstract

Key economic indicators, such as GDP and unemployment rates, provide a useful backdrop for assessing the state of the economy. However, more nuanced statistics can be of use during the COVID-19 pandemic. In this paper, we extend the domain of relevance for economic statistics by developing a multi-group SIR model that accounts for differences in work context and industrial composition. We show the model is useful for assessing how different economic scenarios affect the dynamics of the COVID-19 virus. Our model highlights how statistics on industry contact rates and the composition of economic output inform the dynamics of COVID-19 under different economic scenarios. Our study illustrates the importance of economic statistics for the numerical analysis of COVID-19 and describes how to use them to analyze different economic scenarios.

Suggested Citation

  • Christopher Blackburn & Juan Moreno-Cruz, 2021. "Work Context and Industrial Composition Determine the Epidemiological Responses in a Multi-Group SIR Model," BEA Working Papers 0185, Bureau of Economic Analysis.
    • Handle: RePEc:bea:wpaper:0185
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    File URL: https://www.bea.gov/system/files/papers/BEA-WP2020-13.pdf
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    References listed on IDEAS

    as
    1. Ichino, Andrea & Favero, Carlo A. & Rustichini, Aldo, 2020. "Restarting the economy while saving lives under Covid-19," CEPR Discussion Papers 14664, C.E.P.R. Discussion Papers.
    2. Fernando Alvarez & David Argente, 2020. "A Simple Planning Problem for COVID-19 Lockdown," Working Papers 2020-34, Becker Friedman Institute for Research In Economics.
    3. Andrew Atkeson, 2020. "What Will be the Economic Impact of COVID-19 in the US? Rough Estimates of Disease Scenarios," Staff Report 595, Federal Reserve Bank of Minneapolis.
    4. Saidi, Farzad & Alfaro, Laura & Faia, Ester & Lamersdorf, Nora, 2020. "Social Interactions in Pandemics: Fear, Altruism, and Reciprocity," CEPR Discussion Papers 14716, C.E.P.R. Discussion Papers.
    5. Byung-Kwang Yoo & Megumi Kasajima & Jay Bhattacharya, 2010. "Public Avoidance and the Epidemiology of novel H1N1 Influenza A," NBER Working Papers 15752, National Bureau of Economic Research, Inc.
    6. Cem Cakmakli & Selva Demiralp & Sebnem Kalemli-Ozcan & Sevcan Yesiltas & Muhammed A. Yildirim, 2020. "COVID-19 and Emerging Markets: An Epidemiological Model with International Production Networks and Capital Flows," IMF Working Papers 2020/133, International Monetary Fund.
    7. 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.
    8. Dirk Kruger & Harald Uhlig & Taojun Xie, 2020. "Macroeconomic Dynamics and Reallocation in an Epidemic," Working Papers 2020-43, Becker Friedman Institute for Research In Economics.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    JEL classification:

    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health

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