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Mobility Choices and Strategic Interactions in a Two-Group Macroeconomic–Epidemiological Model

Author

Listed:
  • Davide Torre

    (SKEMA Business School and Université Côte d’Azur)

  • Danilo Liuzzi

    (University of Milan)

  • Rosario Maggistro

    (University of Trieste)

  • Simone Marsiglio

    (University of Pisa)

Abstract

We analyze the implications of strategic interactions between two heterogeneous groups (i.e., young and old, men and women) in a macroeconomic–epidemiological framework. The interactions between groups determine the overall prevalence of a communicable disease, which in turn affects the level of economic activity. Individuals may lower their disease exposure by reducing their mobility, but since changing mobility patterns is costly, each group has an incentive to free ride negatively affecting the chances of disease containment at the aggregate level. By focusing on an early epidemic setting, we explicitly characterize the cooperative and noncooperative equilibria, determining how the inefficiency induced by noncooperation (i.e., failure to internalize epidemic externalities) depends both on economic and epidemiological parameters. We show that long-run eradication may be possible even in the absence of coordination, but coordination leads to a faster reduction in the number of infectives in finite time. Moreover, the inefficiency induced by noncooperation increases (decreases) with the factors increasing (decreasing) the pace of the disease spread.

Suggested Citation

  • Davide Torre & Danilo Liuzzi & Rosario Maggistro & Simone Marsiglio, 2022. "Mobility Choices and Strategic Interactions in a Two-Group Macroeconomic–Epidemiological Model," Dynamic Games and Applications, Springer, vol. 12(1), pages 110-132, March.
  • Handle: RePEc:spr:dyngam:v:12:y:2022:i:1:d:10.1007_s13235-021-00413-z
    DOI: 10.1007/s13235-021-00413-z
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    References listed on IDEAS

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    1. Vahdani, Behnam & Mohammadi, Mehrdad & Thevenin, Simon & Meyer, Patrick & Dolgui, Alexandre, 2023. "Production-sharing of critical resources with dynamic demand under pandemic situation: The COVID-19 pandemic," Omega, Elsevier, vol. 120(C).

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    More about this item

    Keywords

    Dynamic programming; Infectious diseases; Macroeconomic outcomes; Mobility choices; Noncooperative versus cooperative games;
    All these keywords.

    JEL classification:

    • C60 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - General
    • C70 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - General
    • E20 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - General (includes Measurement and Data)
    • I10 - Health, Education, and Welfare - - Health - - - General

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