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Covid-19 Policy Convergence in Response to Knightian Uncertainty

Domestic policy responses to COVID-19 were remarkably consistent during the early days of the pandemic. What explains this policy convergence? Our formal model suggests that the novel character of COVID-19 produced a period of maximum policy uncertainty, incentivizing political actors to converge on...

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Autores principales: Sayers, Anthony M., Scholtz, Christa, Armstrong, Dave, Kam, Christopher, Alcantara, Christopher
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10331119/
https://www.ncbi.nlm.nih.gov/pubmed/37431520
http://dx.doi.org/10.1177/14789299221109081
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author Sayers, Anthony M.
Scholtz, Christa
Armstrong, Dave
Kam, Christopher
Alcantara, Christopher
author_facet Sayers, Anthony M.
Scholtz, Christa
Armstrong, Dave
Kam, Christopher
Alcantara, Christopher
author_sort Sayers, Anthony M.
collection PubMed
description Domestic policy responses to COVID-19 were remarkably consistent during the early days of the pandemic. What explains this policy convergence? Our formal model suggests that the novel character of COVID-19 produced a period of maximum policy uncertainty, incentivizing political actors to converge on a common set of policies to minimize their exposure to electoral punishment. This convergence is likely to break down as policy feedback produces opinion divergence among experts and the public and as politicians recalculate the costs and benefits of various policy responses and under some conditions facing incentives to adopt extreme policies.
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spelling pubmed-103311192023-07-10 Covid-19 Policy Convergence in Response to Knightian Uncertainty Sayers, Anthony M. Scholtz, Christa Armstrong, Dave Kam, Christopher Alcantara, Christopher Polit Stud Rev Early Results Domestic policy responses to COVID-19 were remarkably consistent during the early days of the pandemic. What explains this policy convergence? Our formal model suggests that the novel character of COVID-19 produced a period of maximum policy uncertainty, incentivizing political actors to converge on a common set of policies to minimize their exposure to electoral punishment. This convergence is likely to break down as policy feedback produces opinion divergence among experts and the public and as politicians recalculate the costs and benefits of various policy responses and under some conditions facing incentives to adopt extreme policies. SAGE Publications 2022-07-21 2023-08 /pmc/articles/PMC10331119/ /pubmed/37431520 http://dx.doi.org/10.1177/14789299221109081 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by-nc/4.0/This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access page (https://us.sagepub.com/en-us/nam/open-access-at-sage).
spellingShingle Early Results
Sayers, Anthony M.
Scholtz, Christa
Armstrong, Dave
Kam, Christopher
Alcantara, Christopher
Covid-19 Policy Convergence in Response to Knightian Uncertainty
title Covid-19 Policy Convergence in Response to Knightian Uncertainty
title_full Covid-19 Policy Convergence in Response to Knightian Uncertainty
title_fullStr Covid-19 Policy Convergence in Response to Knightian Uncertainty
title_full_unstemmed Covid-19 Policy Convergence in Response to Knightian Uncertainty
title_short Covid-19 Policy Convergence in Response to Knightian Uncertainty
title_sort covid-19 policy convergence in response to knightian uncertainty
topic Early Results
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10331119/
https://www.ncbi.nlm.nih.gov/pubmed/37431520
http://dx.doi.org/10.1177/14789299221109081
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