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The economic impact of lockdowns: A theoretical assessment()

The sudden appearance of the SARS-CoV-2 virus and the onset of the COVID-19 pandemic triggered extreme and open-ended “lockdowns” to manage the disease. Should these drastic interventions be the blueprint for future epidemics? We construct an analytical framework, based on the theory of random match...

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Detalles Bibliográficos
Autores principales: Camera, Gabriele, Gioffré, Alessandro
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Published by Elsevier B.V. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8286240/
https://www.ncbi.nlm.nih.gov/pubmed/34305263
http://dx.doi.org/10.1016/j.jmateco.2021.102552
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author Camera, Gabriele
Gioffré, Alessandro
author_facet Camera, Gabriele
Gioffré, Alessandro
author_sort Camera, Gabriele
collection PubMed
description The sudden appearance of the SARS-CoV-2 virus and the onset of the COVID-19 pandemic triggered extreme and open-ended “lockdowns” to manage the disease. Should these drastic interventions be the blueprint for future epidemics? We construct an analytical framework, based on the theory of random matching, which makes explicit how epidemics spread through economic activity. Imposing lockdowns by assumption not only prevents contagion and reduces healthcare costs, but also disrupts income-generation processes. We characterize how lockdowns impact the contagion process and social welfare. Numerical analysis suggests that protracted, open-ended lockdowns are generally suboptimal, bringing into question the policy responses seen in many countries.
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spelling pubmed-82862402021-07-20 The economic impact of lockdowns: A theoretical assessment() Camera, Gabriele Gioffré, Alessandro J Math Econ Article The sudden appearance of the SARS-CoV-2 virus and the onset of the COVID-19 pandemic triggered extreme and open-ended “lockdowns” to manage the disease. Should these drastic interventions be the blueprint for future epidemics? We construct an analytical framework, based on the theory of random matching, which makes explicit how epidemics spread through economic activity. Imposing lockdowns by assumption not only prevents contagion and reduces healthcare costs, but also disrupts income-generation processes. We characterize how lockdowns impact the contagion process and social welfare. Numerical analysis suggests that protracted, open-ended lockdowns are generally suboptimal, bringing into question the policy responses seen in many countries. Published by Elsevier B.V. 2021-12 2021-07-18 /pmc/articles/PMC8286240/ /pubmed/34305263 http://dx.doi.org/10.1016/j.jmateco.2021.102552 Text en © 2021 Published by Elsevier B.V. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.
spellingShingle Article
Camera, Gabriele
Gioffré, Alessandro
The economic impact of lockdowns: A theoretical assessment()
title The economic impact of lockdowns: A theoretical assessment()
title_full The economic impact of lockdowns: A theoretical assessment()
title_fullStr The economic impact of lockdowns: A theoretical assessment()
title_full_unstemmed The economic impact of lockdowns: A theoretical assessment()
title_short The economic impact of lockdowns: A theoretical assessment()
title_sort economic impact of lockdowns: a theoretical assessment()
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8286240/
https://www.ncbi.nlm.nih.gov/pubmed/34305263
http://dx.doi.org/10.1016/j.jmateco.2021.102552
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