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Published in: Public Choice 3-4/2022

07-09-2022

Optimal lockdowns

Authors: David J. Hebert, Michael D. Curry

Published in: Public Choice | Issue 3-4/2022

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Abstract

This paper provides a framework for understanding optimal lockdowns and makes three contributions. First, it theoretically analyzes lockdown policies and argues that policy makers systematically enact too strict lockdowns because their incentives are misaligned with achieving desired ends and they cannot adapt to changing circumstances. Second, it provides a benchmark to determine how strongly policy makers in different locations should respond to COVID-19. Finally, it provides a framework for understanding how, when, and why lockdown policy is expected to change.

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Metadata
Title
Optimal lockdowns
Authors
David J. Hebert
Michael D. Curry
Publication date
07-09-2022
Publisher
Springer US
Published in
Public Choice / Issue 3-4/2022
Print ISSN: 0048-5829
Electronic ISSN: 1573-7101
DOI
https://doi.org/10.1007/s11127-022-00992-4

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