Optimal lockdowns
- PMID: 36091084
- PMCID: PMC9449920
- DOI: 10.1007/s11127-022-00992-4
Optimal lockdowns
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.
Keywords: Adaptability; COVID-19; Optimal policy; Planners’ problem.
© The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2022, Springer Nature or its licensor holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
Conflict of interest statement
Conflict of interestThe authors have no competing interests to declare that are relevant to the content of this article.
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