Published:
Cambridge, Mass: National Bureau of Economic Research, 2020
Published in:NBER working paper series ; no. w27063
Extent:
1 Online-Ressource; illustrations (black and white)
Language:
English
DOI:
10.3386/w27063
Identifier:
Reproduction note:
Hardcopy version available to institutional subscribers
Origination:
Footnote:
System requirements: Adobe [Acrobat] Reader required for PDF files
Mode of access: World Wide Web
Description:
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