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Covid-19 and Output in Japan

Author

Listed:
  • FUJII Daisuke
  • NAKATA Taisuke
Abstract
Using a tractable macro-SIRD model, we explore the relationship between the spread of Covid-19 and output in Japan. We also examine the consequences of adopting alternative criteria for ending the state of emergency currently in place in Tokyo. We will update our analysis weekly at https://Covid19OutputJapan.github.io/.

Suggested Citation

  • FUJII Daisuke & NAKATA Taisuke, 2021. "Covid-19 and Output in Japan," Discussion papers 21004, Research Institute of Economy, Trade and Industry (RIETI).
    • Handle: RePEc:eti:dpaper:21004
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    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]," The 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.
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    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. Lawrence J. Christiano & Martin S. Eichenbaum & Mathias Trabandt, 2018. "On DSGE Models," Journal of Economic Perspectives, American Economic Association, vol. 32(3), pages 113-140, Summer.
    7. 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.
    8. 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.
    9. 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.
    10. 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).
    11. 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.
    12. 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.
    13. 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.
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    Citations

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    Cited by:

    1. Masashige Hamano & Munechika Katayama, 2021. "Epidemics and Macroeconomic Dynamics," Working Papers e162, Tokyo Center for Economic Research.
    2. Masayuki Morikawa, 2024. "Productivity dynamics of work from home: Firm-level evidence from Japan," Journal of Evolutionary Economics, Springer, vol. 34(2), pages 465-487, April.
    3. 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).
    4. 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.
    5. 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).
    6. 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).
    7. Beppu, Shotaro & Fujii, Daisuke & Kubota, Hiroyuki & Machi, Kohei & Maeda, Yuta & Nakata, Taisuke & Shibuya, Haruki, 2023. "Cross-regional heterogeneity in health and economic outcomes during the COVID-19 pandemic: An analysis of Japan," Journal of the Japanese and International Economies, Elsevier, vol. 70(C).
    8. 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.
    9. 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).
    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. 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.
    13. 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).
    14. 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).

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    More about this item

    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

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