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Optimal lockdowns

Author

Listed:
  • David J. Hebert

    (Aquinas College)

  • Michael D. Curry

    (Aquinas College)

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.

Suggested Citation

  • David J. Hebert & Michael D. Curry, 2022. "Optimal lockdowns," Public Choice, Springer, vol. 193(3), pages 263-274, December.
    • Handle: RePEc:kap:pubcho:v:193:y:2022:i:3:d:10.1007_s11127-022-00992-4
    DOI: 10.1007/s11127-022-00992-4
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    References listed on IDEAS

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    More about this item

    Keywords

    COVID-19; Optimal policy; Planners’ problem; Adaptability;
    All these keywords.

    JEL classification:

    • D78 - Microeconomics - - Analysis of Collective Decision-Making - - - Positive Analysis of Policy Formulation and Implementation
    • D80 - Microeconomics - - Information, Knowledge, and Uncertainty - - - General
    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health
    • I31 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - General Welfare, Well-Being

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