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COVID-19 and output in Japan

We build a tractable SIR-macro-model with time-varying parameters and use it to explore various policy questions such as when to lift the state of emergency (SOE). An earlier departure from the SOE results in smaller output loss and more deaths in the short run. However, if the SOE is lifted too ear...

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Detalles Bibliográficos
Autores principales: Fujii, Daisuke, Nakata, Taisuke
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Singapore 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8455238/
https://www.ncbi.nlm.nih.gov/pubmed/34566466
http://dx.doi.org/10.1007/s42973-021-00098-4
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author Fujii, Daisuke
Nakata, Taisuke
author_facet Fujii, Daisuke
Nakata, Taisuke
author_sort Fujii, Daisuke
collection PubMed
description We build a tractable SIR-macro-model with time-varying parameters and use it to explore various policy questions such as when to lift the state of emergency (SOE). An earlier departure from the SOE results in smaller output loss and more deaths in the short run. However, if the SOE is lifted too early, the number of new cases will surge and another SOE may need to be issued in the future, possibly resulting in both larger output loss and more deaths. That is, the tradeoff between output and infection that exists in the short run does not necessarily exist in the long run. Our model-based analysis—updated weekly since January 2021, frequently reported by media, and presented to policymakers on many occasions—has played a unique role in the policy response to the COVID-19 crisis in Japan.
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spelling pubmed-84552382021-09-22 COVID-19 and output in Japan Fujii, Daisuke Nakata, Taisuke Jpn Econ Rev (Oxf) Special Issue: Article We build a tractable SIR-macro-model with time-varying parameters and use it to explore various policy questions such as when to lift the state of emergency (SOE). An earlier departure from the SOE results in smaller output loss and more deaths in the short run. However, if the SOE is lifted too early, the number of new cases will surge and another SOE may need to be issued in the future, possibly resulting in both larger output loss and more deaths. That is, the tradeoff between output and infection that exists in the short run does not necessarily exist in the long run. Our model-based analysis—updated weekly since January 2021, frequently reported by media, and presented to policymakers on many occasions—has played a unique role in the policy response to the COVID-19 crisis in Japan. Springer Singapore 2021-09-22 2021 /pmc/articles/PMC8455238/ /pubmed/34566466 http://dx.doi.org/10.1007/s42973-021-00098-4 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Special Issue: Article
Fujii, Daisuke
Nakata, Taisuke
COVID-19 and output in Japan
title COVID-19 and output in Japan
title_full COVID-19 and output in Japan
title_fullStr COVID-19 and output in Japan
title_full_unstemmed COVID-19 and output in Japan
title_short COVID-19 and output in Japan
title_sort covid-19 and output in japan
topic Special Issue: Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8455238/
https://www.ncbi.nlm.nih.gov/pubmed/34566466
http://dx.doi.org/10.1007/s42973-021-00098-4
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