IMF Working Papers

Assessing Targeted Containment Policies to Fight COVID-19

By Ariadne Checo, Francesco Grigoli, José M. Mota

December 11, 2020

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Ariadne Checo, Francesco Grigoli, and José M. Mota Assessing Targeted Containment Policies to Fight COVID-19, (USA: International Monetary Fund, 2020) accessed December 21, 2024

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Summary

The large economic costs of full-blown lockdowns in response to COVID-19 outbreaks, coupled with heterogeneous mortality rates across age groups, led to question non-discriminatory containment measures. In this paper we provide an assessment of the targeted approach to containment. We propose a SIR-macro model that allows for heterogeneous agents in terms of mortality rates and contact rates, and in which the government optimally bans people from working. We find that under a targeted policy, the optimal containment reaches a larger portion of the population than under a blanket policy and is held in place for longer. Compared to a blanket policy, a targeted approach results in a smaller death count. Yet, it is not a panacea: the recession is larger under such approach as the containment policy applies to a larger fraction of people, remains in place for longer, and herd immunity is achieved later. Moreover, we find that increased interactions between low- and high-risk individuals effectively reduce the benefits of a targeted approach to containment.

Subject: Aging, Consumption, Health, Labor, Population and demographics

Keywords: Blanket policy scenario, Containment policy, COVID-19, Heterogeneous agents, Optimal containment, Optimal containment policies, Policy scenario, Recession, Share of contact, Targeted policy approach, Voluntary social distancing., WP

Publication Details

  • Pages:

    31

  • Volume:

    ---

  • DOI:

    ---

  • Issue:

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  • Series:

    Working Paper No. 2020/277

  • Stock No:

    WPIEA2020277

  • ISBN:

    9781513560915

  • ISSN:

    1018-5941