Optimal Covid-19 Quarantine and Testing Policies
Year: 2020
Type: preprint
Abstract: Many countries are taking measures stopping productive activities to slow down the spread of COVID-19. At times these measures have been criticized as being excessive and too costly. In this paper we make an attempt to understand the optimal response to an infectious disease. We find that the observed policies are very close to a simple welfare maximization problem of a planner who tries to stop the diffusion of the disease. These extreme measures seem optimal in spite of the high output cost that it may have in the short run, and for various curvatures of the welfare function. The desire for cost smoothing reduces the intensity of the optimal quarantine while extending it for longer, but it still amounts to reducing economic activity by at least 40%. We then study the possibility of either complementing or substituting the quarantine policy with random testing. We find that testing is a very close substitute of quarantine and can substantially reduce the need for indiscriminate quarantines.
Authors: Facundo Piguillem, Liyan Shi
Institution: Einaudi Institute for Economics and Finance
Language: English
Subfield: Modeling and Simulation
Field: Mathematics
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W3125400944