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A rational-choice model of Covid-19 transmission with endogenous quarantining and two-sided prevention

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  • Bhattacharya, Joydeep
  • Chakraborty, Shankha
  • Yu, Xiumei

Abstract

This paper offers a parsimonious, rational-choice model to study the effect of pre-existing inequalities on the transmission of COVID-19. Agents decide whether to “go out” (or self-quarantine) and, if so, whether to wear protection such as masks. Three elements distinguish the model from existing work. First, non-symptomatic agents do not know if they are infected. Second, some of these agents unknowingly transmit infections. Third, we permit two-sided prevention via the use of non-pharmaceutical interventions: the probability of a person catching the virus from another depends on protection choices made by each. We find that a mean-preserving increase in pre-existing income inequality unambiguously increases the equilibrium proportion of unprotected, socializing agents and may increase or decrease the proportion who self-quarantine. Strikingly, while higher pre-COVID inequality may or may not raise the overall risk of infection, it increases the risk of disease in social interactions.

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  • Bhattacharya, Joydeep & Chakraborty, Shankha & Yu, Xiumei, 2021. "A rational-choice model of Covid-19 transmission with endogenous quarantining and two-sided prevention," Journal of Mathematical Economics, Elsevier, vol. 93(C).
    • Handle: RePEc:eee:mateco:v:93:y:2021:i:c:s0304406821000306
    DOI: 10.1016/j.jmateco.2021.102492
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    1. Boucekkine, Raouf & Laffargue, Jean-Pierre, 2010. "On the distributional consequences of epidemics," Journal of Economic Dynamics and Control, Elsevier, vol. 34(2), pages 231-245, February.
    2. Chakraborty, Shankha & Papageorgiou, Chris & Pérez Sebastián, Fidel, 2010. "Diseases, infection dynamics, and development," Journal of Monetary Economics, Elsevier, vol. 57(7), pages 859-872, October.
    3. Daron Acemoglu & Victor Chernozhukov & Iván Werning & Michael D. Whinston, 2021. "Optimal Targeted Lockdowns in a Multigroup SIR Model," American Economic Review: Insights, American Economic Association, vol. 3(4), pages 487-502, December.
    4. David Berger & Kyle Herkenhoff & Chengdai Huang & Simon Mongey, 2022. "Testing and Reopening in an SEIR Model," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 43, pages 1-21, January.
    5. Roberto Chang & Andrés Velasco, 2020. "Economic Policy Incentives to Preserve Lives and Livelihoods," NBER Working Papers 27020, National Bureau of Economic Research, Inc.
    6. Goenka, Aditya & Liu, Lin & Nguyen, Manh-Hung, 2014. "Infectious diseases and economic growth," Journal of Mathematical Economics, Elsevier, vol. 50(C), pages 34-53.
    7. Korinek, Anton & Bethune, Zachary, 2020. "COVID-19 Infection Externalities: Trading Off Lives vs. Livelihoods," CEPR Discussion Papers 14596, C.E.P.R. Discussion Papers.
    8. Fernando E. Alvarez & David Argente & Francesco Lippi, 2020. "A Simple Planning Problem for COVID-19 Lockdown," NBER Working Papers 26981, National Bureau of Economic Research, Inc.
    9. David Berger & Kyle Herkenhoff & Chengdai Huang & Simon Mongey, 2022. "Testing and Reopening in an SEIR Model," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 43, pages 1-21, January.
    10. Ritwik Banerjee & Joydeep Bhattacharya & Priyama Majumdar, 2020. "Exponential-growth prediction bias and compliance with safety measures in the times of COVID-19," Papers 2005.01273, arXiv.org.
    11. Farboodi, Maryam & Jarosch, Gregor & Shimer, Robert, 2021. "Internal and external effects of social distancing in a pandemic," Journal of Economic Theory, Elsevier, vol. 196(C).
    12. Schmitt-Grohé, Stephanie & Uribe, Martín & Teoh, Ken, 2020. "Covid-19: Testing Inequality in New York City," CEPR Discussion Papers 14673, C.E.P.R. Discussion Papers.
    13. Richard Blundell & Monica Costa Dias & Robert Joyce & Xiaowei Xu, 2020. "COVID‐19 and Inequalities," Fiscal Studies, John Wiley & Sons, vol. 41(2), pages 291-319, June.
    14. Michael Kremer, 1996. "Integrating Behavioral Choice into Epidemiological Models of AIDS," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 111(2), pages 549-573.
    15. Mark Gersovitz & Jeffrey S. Hammer, 2003. "Infectious Diseases, Public Policy, and the Marriage of Economics and Epidemiology," The World Bank Research Observer, World Bank, vol. 18(2), pages 129-157.
    16. 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.
    17. Michael Kremer, 1996. "Integrating Behavioral Choice into Epidemiological Models of the AIDS Epidemic," NBER Working Papers 5428, National Bureau of Economic Research, Inc.
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    1. Banerjee, Ritwik & Bhattacharya, Joydeep & Majumdar, Priyama, 2021. "Exponential-growth prediction bias and compliance with safety measures related to COVID-19," Social Science & Medicine, Elsevier, vol. 268(C).
    2. Raouf Boucekkine & Shankha Chakraborty & Aditya Goenka & Lin Liu, 2024. "A Brief Tour of Economic Epidemiology Modelling," LIDAM Discussion Papers IRES 2024002, Université catholique de Louvain, Institut de Recherches Economiques et Sociales (IRES).
    3. Epp, Markus & Jäger, Marius, 2021. "Network Exposure in the Propagation of the COVID-19 Pandemic," VfS Annual Conference 2021 (Virtual Conference): Climate Economics 242465, Verein für Socialpolitik / German Economic Association.
    4. Chakrabarty, Debajyoti & Bhatia, Bhanu & Jayasinghe, Maneka & Low, David, 2023. "Relative deprivation, inequality and the Covid-19 pandemic," Social Science & Medicine, Elsevier, vol. 324(C).

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