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Information and inequality in the time of a pandemic

Author

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  • Dizioli, Allan
  • Pinheiro, Roberto

Abstract

We introduce two types of agent heterogeneity in a calibrated epidemiological search model. First, some agents cannot afford to stay home to minimize virus exposure. Our results show that poor agents bear most of the epidemic’s health costs. Furthermore, we show that recessions are usually deeper and recoveries are faster when a larger share of agents fail to optimally adjust their behavior during the epidemic. Second, agents develop symptoms heterogeneously. We show that for diseases with a higher share of asymptomatic cases, even when less lethal, health and economic outcomes are worse. For both types of heterogeneity, economic effects are driven by a large share of the agents taking voluntary precautions to minimize virus exposure. Due to this mechanism of voluntary precautions, testing and subsequent quarantining are particularly beneficial in economies with larger shares of poor agents. In contrast, unless a health system collapse is large enough, lockdowns are quite costly for both developing and developed economies.

Suggested Citation

  • Dizioli, Allan & Pinheiro, Roberto, 2021. "Information and inequality in the time of a pandemic," Journal of Economic Dynamics and Control, Elsevier, vol. 130(C).
  • Handle: RePEc:eee:dyncon:v:130:y:2021:i:c:s0165188921001378
    DOI: 10.1016/j.jedc.2021.104202
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    Cited by:

    1. Yoontae Hwang & Yongjae Lee & Frank J. Fabozzi, 2023. "Identifying household finance heterogeneity via deep clustering," Annals of Operations Research, Springer, vol. 325(2), pages 1255-1289, June.
    2. Cerqueti, Roy & Tramontana, Fabio & Ventura, Marco, 2022. "The complex interplay between COVID-19 and economic activity," Mathematical Social Sciences, Elsevier, vol. 119(C), pages 97-107.
    3. Brotherhood, Luiz & Kircher, Philipp & Santos, Cezar & Tertilt, Michèle, 2023. "Optimal Age-based Policies for Pandemics: An Economic Analysis of Covid-19 and Beyond," IDB Publications (Working Papers) 13295, Inter-American Development Bank.
    4. Bargain, Olivier & Aminjonov, Ulugbek, 2021. "Poverty and COVID-19 in Africa and Latin America," World Development, Elsevier, vol. 142(C).
    5. Brotherhood, Luiz & Kircher, Philipp & Santos, Cezar & Tertilt, Michele, 2024. "Optimal Age-based Policies for Pandemics: An Economic Analysis of Covid-19 and Beyond," LIDAM Discussion Papers CORE 2024012, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).

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    Keywords

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    JEL classification:

    • E17 - Macroeconomics and Monetary Economics - - General Aggregative Models - - - Forecasting and Simulation: Models and Applications
    • D62 - Microeconomics - - Welfare Economics - - - Externalities
    • I12 - Health, Education, and Welfare - - Health - - - Health Behavior
    • I14 - Health, Education, and Welfare - - Health - - - Health and Inequality
    • J22 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Time Allocation and Labor Supply

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