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Integrated Epi-Econ Assessment

Author

Listed:
  • Timo Boppart
  • Karl Harmenberg
  • John Hassler
  • Per Krusell
  • Jonna Olsson

Abstract

We formulate an economic time use model and add to it an epidemiological SIR block. In the event of an epidemic, households shift their leisure time from activities with a high degree of social interaction to activities with less, and also choose to work more from home. Our model highlights the different actions taken by young individuals, who are less severely affected by the disease, and by old individuals, who are more vulnerable. We calibrate our model to time use data from ATUS, employment data, epidemiological data, and estimates of the value of a statistical life. There are qualitative as well as quantitative differences between the competitive equilibrium and social planner allocation and, moreover, these depend critically on when a cure arrives. Due to the role played by social activities in people's welfare, simple indicators such as deaths and GDP are insuffcient for judging outcomes in our economy.

Suggested Citation

  • Timo Boppart & Karl Harmenberg & John Hassler & Per Krusell & Jonna Olsson, 2020. "Integrated Epi-Econ Assessment," NBER Working Papers 28282, National Bureau of Economic Research, Inc.
  • Handle: RePEc:nbr:nberwo:28282
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    Cited by:

    1. Dizioli, Allan & Pinheiro, Roberto, 2021. "Information and inequality in the time of a pandemic," Journal of Economic Dynamics and Control, Elsevier, vol. 130(C).
    2. Giorgio Fabbri & Salvatore Federico & Davide Fiaschi & Fausto Gozzi, 2024. "Mobility decisions, economic dynamics and epidemic," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 77(1), pages 495-531, February.
    3. Glover, Andrew & Heathcote, Jonathan & Krueger, Dirk & Ríos-Rull, José-Víctor, 2023. "Health versus wealth: On the distributional effects of controlling a pandemic," Journal of Monetary Economics, Elsevier, vol. 140(C), pages 34-59.
    4. Glover, Andrew & Heathcote, Jonathan & Krueger, Dirk, 2022. "Optimal age-Based vaccination and economic mitigation policies for the second phase of the covid-19 pandemic," Journal of Economic Dynamics and Control, Elsevier, vol. 140(C).
    5. Eichenbaum, Martin S. & Rebelo, Sergio & Trabandt, Mathias, 2022. "The macroeconomics of testing and quarantining," Journal of Economic Dynamics and Control, Elsevier, vol. 138(C).
    6. Christian Bayer & Benjamin Born & Ralph Luetticke & Gernot J Müller, 2023. "The Coronavirus Stimulus Package: How Large is the Transfer Multiplier," The Economic Journal, Royal Economic Society, vol. 133(652), pages 1318-1347.
    7. Faia, Ester & Kudlyak, Marianna & Shabalina, Ekaterina, 2021. "Dynamic Labor Reallocation with Heterogeneous Skills and Uninsured Idiosyncratic Risk," IZA Discussion Papers 14794, Institute of Labor Economics (IZA).
    8. Xu, Shaofeng & Liu, Tao & Liu, Fengliang, 2024. "On the role of automation in an epidemic," Journal of Economic Dynamics and Control, Elsevier, vol. 160(C).
    9. Boppart, Timo & Harmenberg, Karl & Krusell, Per & Olsson, Jonna, 2022. "Integrated epi-econ assessment of vaccination," Journal of Economic Dynamics and Control, Elsevier, vol. 140(C).

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    More about this item

    JEL classification:

    • E10 - Macroeconomics and Monetary Economics - - General Aggregative Models - - - General
    • I10 - Health, Education, and Welfare - - Health - - - General

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