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“On the Optimal ‘Lockdown’ during an Epidemic,” CEPR, 2020

Summary:
CEPR Discussion Paper 14612, April 2020, with Martin Gonzalez-Eiras. PDF (local copy). We embed a lockdown choice in a simplified epidemiological model and derive formulas for the optimal lockdown intensity and duration. The optimal policy reflects the rate of time preference, epidemiological factors, the hazard rate of vaccine discovery, learning effects in the health care sector, and the severity of output losses due to a lockdown. In our baseline specification a Covid-19 shock as currently experienced by the US optimally triggers a reduction in economic activity by two thirds, for about 50 days, or approximately 9.5 percent of annual GDP.

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CEPR Discussion Paper 14612, April 2020, with Martin Gonzalez-Eiras. PDF (local copy).

We embed a lockdown choice in a simplified epidemiological model and derive formulas for the optimal lockdown intensity and duration. The optimal policy reflects the rate of time preference, epidemiological factors, the hazard rate of vaccine discovery, learning effects in the health care sector, and the severity of output losses due to a lockdown. In our baseline specification a Covid-19 shock as currently experienced by the US optimally triggers a reduction in economic activity by two thirds, for about 50 days, or approximately 9.5 percent of annual GDP.

Dirk Niepelt
Dirk Niepelt is Director of the Study Center Gerzensee and Professor at the University of Bern. A research fellow at the Centre for Economic Policy Research (CEPR, London), CESifo (Munich) research network member and member of the macroeconomic committee of the Verein für Socialpolitik, he served on the board of the Swiss Society of Economics and Statistics and was an invited professor at the University of Lausanne as well as a visiting professor at the Institute for International Economic Studies (IIES) at Stockholm University.

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