Sequential Lifting of COVID-19 Interventions with Population Heterogeneity

Adriano Rampini

No 27063, NBER Working Papers from National Bureau of Economic Research, Inc

Abstract: This paper analyzes a sequential approach to lifting interventions in the COVID-19 pandemic taking heterogeneity in the population into account. The population is heterogeneous in terms of the consequences of infection (need for hospitalization and critical care, and mortality) and in terms of labor force participation. Splitting the population in two groups by age, a less affected younger group that is more likely to work, and a more affected older group less likely to work, and lifting interventions sequentially (for the younger group first and the older group later on) can substantially reduce mortality, demands on the health care system, and the economic cost of interventions.

JEL-codes: E32 E44 E65 H12 I10 I18 (search for similar items in EconPapers)
Date: 2020-04
New Economics Papers: this item is included in nep-age, nep-gen, nep-hea and nep-mac
Note: EFG EH PE
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Citations: View citations in EconPapers (43)

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