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

Dynamic programming Infectious diseases Macroeconomic outcomes Mobility choices Noncooperative versus cooperative games

Journal

Dynamic games and applications
ISSN: 2153-0785
Titre abrégé: Dyn Games Appl
Pays: United States
ID NLM: 101679645

Informations de publication

Date de publication:
2022
Historique:
accepted: 01 11 2021
pubmed: 8 12 2021
medline: 8 12 2021
entrez: 7 12 2021
Statut: ppublish

Résumé

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.

Identifiants

pubmed: 34873456
doi: 10.1007/s13235-021-00413-z
pii: 413
pmc: PMC8637520
doi:

Types de publication

Journal Article

Langues

eng

Pagination

110-132

Informations de copyright

© The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2021.

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Auteurs

Davide La Torre (D)

SKEMA Business School and Université Côte d'Azur, Sophia Antipolis, France.

Danilo Liuzzi (D)

Department of Economics, Management and Quantitative Methods, University of Milan, Milan, Italy.

Rosario Maggistro (R)

Department of Economics, Business, Mathematics and Statistics "B. de Finetti", University of Trieste, Trieste, Italy.

Simone Marsiglio (S)

Department of Economics and Management, University of Pisa, Pisa, Italy.

Classifications MeSH