IDEAS home Printed from https://ideas.repec.org/a/spr/jecrev/v72y2021i4d10.1007_s42973-021-00098-4.html
   My bibliography  Save this article

COVID-19 and output in Japan

Author

Listed:
  • Daisuke Fujii

    (University of Tokyo
    RIETI (Research Institute of Economy, Trade and Industry))

  • Taisuke Nakata

    (University of Tokyo)

Abstract

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.

Suggested Citation

  • Daisuke Fujii & Taisuke Nakata, 2021. "COVID-19 and output in Japan," The Japanese Economic Review, Springer, vol. 72(4), pages 609-650, October.
  • Handle: RePEc:spr:jecrev:v:72:y:2021:i:4:d:10.1007_s42973-021-00098-4
    DOI: 10.1007/s42973-021-00098-4
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s42973-021-00098-4
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s42973-021-00098-4?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to look for a different version below or search for a different version of it.

    Other versions of this item:

    References listed on IDEAS

    as
    1. Hess T. Chung & Taisuke Nakata & Matthias Paustian, 2018. "Optimal Monetary Policy in a DSGE Model with Attenuated Forward Guidance Effects," FEDS Notes 2018-10-19, Board of Governors of the Federal Reserve System (U.S.).
    2. Martin S Eichenbaum & Sergio Rebelo & Mathias Trabandt, 2021. "The Macroeconomics of Epidemics [Economic activity and the spread of viral diseases: Evidence from high frequency data]," Review of Financial Studies, Society for Financial Studies, vol. 34(11), pages 5149-5187.
    3. Greg Kaplan & Benjamin Moll & Giovanni L. Violante, 2020. "The Great Lockdown and the Big Stimulus: Tracing the Pandemic Possibility Frontier for the U.S," NBER Working Papers 27794, National Bureau of Economic Research, Inc.
    4. Tsutomu Watanabe & Yabu Tomoyoshi, 2020. "Japan’s Voluntary Lockdown," CIGS Working Paper Series 20-007E, The Canon Institute for Global Studies.
    5. Fernández-Villaverde, Jesús & Jones, Charles I., 2022. "Estimating and simulating a SIRD Model of COVID-19 for many countries, states, and cities," Journal of Economic Dynamics and Control, Elsevier, vol. 140(C).
    6. Fernando E. Alvarez & David Argente & Francesco Lippi, 2020. "A Simple Planning Problem for COVID-19 Lockdown," NBER Working Papers 26981, National Bureau of Economic Research, Inc.
    7. Faust, Jon & Wright, Jonathan H., 2009. "Comparing Greenbook and Reduced Form Forecasts Using a Large Realtime Dataset," Journal of Business & Economic Statistics, American Statistical Association, vol. 27(4), pages 468-479.
    8. Todd E. Clark, 2011. "Real-Time Density Forecasts From Bayesian Vector Autoregressions With Stochastic Volatility," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 29(3), pages 327-341, July.
    9. Farboodi, Maryam & Jarosch, Gregor & Shimer, Robert, 2021. "Internal and external effects of social distancing in a pandemic," Journal of Economic Theory, Elsevier, vol. 196(C).
    10. Chen, Joe & Choi, Yun Jeong & Sawada, Yasuyuki, 2009. "How is suicide different in Japan?," Japan and the World Economy, Elsevier, vol. 21(2), pages 140-150, March.
    11. So Kubota, 2021. "The macroeconomics of COVID-19 exit strategy: the case of Japan," The Japanese Economic Review, Springer, vol. 72(4), pages 651-682, October.
    12. Robert E. Hall & Charles I. Jones & Peter J. Klenow, 2020. "Trading Off Consumption and COVID-19 Deaths," Quarterly Review, Federal Reserve Bank of Minneapolis, vol. 42(1), pages 1-14, June.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Shibamoto, Masahiko & Hayaki, Shoka & Ogisu, Yoshitaka, 2022. "COVID-19 infection spread and human mobility," Journal of the Japanese and International Economies, Elsevier, vol. 64(C).
    2. Masuhara, Hiroaki & Hosoya, Kei, 2022. "Convergent movement of COVID-19 outbreak in Japan based on SIR model," Economic Analysis and Policy, Elsevier, vol. 73(C), pages 29-43.
    3. Higo, Masahiro & Shiratsuka, Shigenori, 2023. "Consumer price measurement under the first wave of the COVID-19 spread in Japan: Scanner data evidence for retailers in Tokyo," Japan and the World Economy, Elsevier, vol. 65(C).
    4. Masashige Hamano & Munechika Katayama, 2021. "Epidemics and Macroeconomic Dynamics," Working Papers e162, Tokyo Center for Economic Research.
    5. INOUE Tomoo & OKIMOTO Tatsuyoshi, 2022. "Exploring the Dynamic Relationship between Mobility and the Spread of COVID-19, and the Role of Vaccines," Discussion papers 22011, Research Institute of Economy, Trade and Industry (RIETI).
    6. Hajime Tomura, 2021. "Household Expenditures and the Effective Reproduction Number in Japan: Regression Analysis," Working Papers 2107-1, Waseda University, Faculty of Political Science and Economics.
    7. MASUHARA Hiroaki & HOSOYA Kei, 2022. "What Impacts Do Human Mobility and Vaccination Have on Trends in COVID-19 Infections? Evidence from four developed countries," Discussion papers 22087, Research Institute of Economy, Trade and Industry (RIETI).
    8. MORIKAWA Masayuki, 2022. "Productivity Dynamics of Work from Home since the Onset of the COVID-19 Pandemic: Evidence from a panel of firm surveys," Discussion papers 22061, Research Institute of Economy, Trade and Industry (RIETI).
    9. So Kubota, 2021. "The macroeconomics of COVID-19 exit strategy: the case of Japan," The Japanese Economic Review, Springer, vol. 72(4), pages 651-682, October.
    10. Daisuke Fujii & Taisuke Nakata & Takeshi Ojima, 2022. "Heterogeneous Risk Attitudes and Waves of Infection," CARF F-Series CARF-F-546, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.
    11. Masahiro Higo & Shigenori Shiratsuka, 2022. "Was Inflation Observed under the First Wave of the COVID-19 Spread in Japan? Scanner Data Evidence for Retailers in Tokyo," Keio-IES Discussion Paper Series 2022-013, Institute for Economics Studies, Keio University.
    12. Esaka, Taro & Fujii, Takao, 2022. "Quantifying the impact of the Tokyo Olympics on COVID-19 cases using synthetic control methods," Journal of the Japanese and International Economies, Elsevier, vol. 66(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Yasushi Iwamoto, 2021. "Welfare economics of managing an epidemic: an exposition," The Japanese Economic Review, Springer, vol. 72(4), pages 537-579, October.
    2. FUJII Daisuke & NAKATA Taisuke, 2021. "Covid-19 and Output in Japan," Discussion papers 21004, Research Institute of Economy, Trade and Industry (RIETI).
    3. Yinon Bar-On & Tatiana Baron & Ofer Cornfeld & Eran Yashiv, 2023. "When to Lock, Not Whom: Managing Epidemics Using Time-Based Restrictions," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 51, pages 292-321, December.
    4. So Kubota, 2021. "The macroeconomics of COVID-19 exit strategy: the case of Japan," The Japanese Economic Review, Springer, vol. 72(4), pages 651-682, October.
    5. Gopal K. Basak & Chandramauli Chakraborty & Pranab Kumar Das, 2021. "Optimal Lockdown Strategy in a Pandemic: An Exploratory Analysis for Covid-19," Papers 2109.02512, arXiv.org.
    6. Timo Boppart & Karl Harmenberg & John Hassler & Per Krusell & Jonna Olsson, 2020. "Integrated Epi-Econ Assessment," NBER Working Papers 28282, National Bureau of Economic Research, Inc.
    7. Lin Ma & Gil Shapira & Damien de Walque & Quy‐Toan Do & Jed Friedman & Andrei A. Levchenko, 2022. "The Intergenerational Mortality Trade‐Off Of Covid‐19 Lockdown Policies," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 63(3), pages 1427-1468, August.
    8. Garriga, Carlos & Manuelli, Rody & Sanghi, Siddhartha, 2022. "Optimal management of an epidemic: Lockdown, vaccine and value of life," Journal of Economic Dynamics and Control, Elsevier, vol. 140(C).
    9. Sewon Hur, 2023. "The Distributional Effects Of Covid‐19 And Optimal Mitigation Policies," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 64(1), pages 261-294, February.
    10. Martín Gonzalez-Eiras & Dirk Niepelt, 2020. "Optimally Controlling an Epidemic," CESifo Working Paper Series 8770, CESifo.
    11. Bairoliya, Neha & İmrohoroğlu, Ayşe, 2023. "Macroeconomic consequences of stay-at-home policies during the COVID-19 pandemic," European Economic Review, Elsevier, vol. 152(C).
    12. Carnehl, Christoph & Fukuda, Satoshi & Kos, Nenad, 2023. "Epidemics with behavior," Journal of Economic Theory, Elsevier, vol. 207(C).
    13. Yinon Bar-On & Tatiana Baron & Ofer Cornfeld & Eran Yashiv, 2023. "When to Lock, Not Whom: Managing Epidemics Using Time-Based Restrictions," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 51, pages 292-321, December.
    14. Eichenbaum, Martin S. & Rebelo, Sergio & Trabandt, Mathias, 2022. "The macroeconomics of testing and quarantining," Journal of Economic Dynamics and Control, Elsevier, vol. 138(C).
    15. Paul Jackson & Victor Ortego-Marti, 2020. "Skill Loss during Unemployment and the Scarring Effects of the COVID-19 Pandemic," Working Papers 202020, University of California at Riverside, Department of Economics.
    16. Yinon Bar-On & Tatiana Baron & Ofer Cornfeld & Eran Yashiv, 2023. "When to Lock, Not Whom: Managing Epidemics Using Time-Based Restrictions," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 51, pages 292-321, December.
    17. David Baqaee & Emmanuel Farhi, 2020. "Nonlinear Production Networks with an Application to the Covid-19 Crisis," NBER Working Papers 27281, National Bureau of Economic Research, Inc.
    18. Giorgio Fabbri & Salvatore Federico & Davide Fiaschi & Fausto Gozzi, 2024. "Mobility decisions, economic dynamics and epidemic," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 77(1), pages 495-531, February.
    19. Lin William Cong & Ke Tang & Bing Wang & Jingyuan Wang, 2021. "An AI-assisted Economic Model of Endogenous Mobility and Infectious Diseases: The Case of COVID-19 in the United States," Papers 2109.10009, arXiv.org.
    20. Dizioli, Allan & Pinheiro, Roberto, 2021. "Information and inequality in the time of a pandemic," Journal of Economic Dynamics and Control, Elsevier, vol. 130(C).

    More about this item

    Keywords

    COVID-19; Japan; SIR model; Epidemiological model; Vaccines; State of emergency; Variants;
    All these keywords.

    JEL classification:

    • E17 - Macroeconomics and Monetary Economics - - General Aggregative Models - - - Forecasting and Simulation: Models and Applications
    • E70 - Macroeconomics and Monetary Economics - - Macro-Based Behavioral Economics - - - General
    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:jecrev:v:72:y:2021:i:4:d:10.1007_s42973-021-00098-4. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.