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A Simple Planning Problem for COVID-19 Lockdown

Francesco Lippi, Fernando Alvarez and David Argente

No 14658, CEPR Discussion Papers from C.E.P.R. Discussion Papers

Abstract: We study the optimal lockdown policy for a planner who controls the fatalities of a pandemic while minimizing the output costs of the lockdown. The policy depends on the fraction of infected and susceptible in the population, prescribing a severe lockdown beginning two weeks after the outbreak, covering 60% of the population after a month, and gradually withdrawing to 20% of the population after 3 months. The intensity of the optimal lockdown depends on the gradient of the fatality rate with respect to the infected, and the availability of antibody testing that yields a welfare gain of 2% of GDP.

Keywords: Lockdown; Quarantine; Epidemic control; Dynamic programming (search for similar items in EconPapers)
JEL-codes: C61 I10 I18 (search for similar items in EconPapers)
Date: 2020-04
New Economics Papers: this item is included in nep-hea
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Citations: View citations in EconPapers (483)

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Working Paper: A Simple Planning Problem for COVID-19 Lockdown (2020) Downloads
Working Paper: A Simple Planning Problem forCOVID-19 Lockdown (2020) Downloads
Working Paper: A Simple Planning Problem for COVID-19 Lockdown (2020) Downloads
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