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Estimating a Markov Switching DSGE Model with Macroeconomic Policy Interaction

Author

Listed:
  • Nobuhiro Abe

    (Bank of Japan)

  • Takuji Fueki

    (Bank of Japan)

  • Sohei Kaihatsu

    (Strategy, Policy, and Review Department, International Monetary Fund)

Abstract

This paper estimates a Markov switching dynamic stochastic general equilibrium model (MS-DSGE) allowing for changes in monetary/fiscal policy interaction. The key feature of the model is that it seeks to quantitatively examine the impact of changes in monetary/fiscal policy interaction on economic outcomes even during a period when the ZLB is binding and unconventional monetary policy is implemented. To this end, we estimate our model using the shadow interest rate, which can be interpreted as an aggregate that captures the overall effect of unconventional monetary policies as well as conventional monetary policy. Applying our model to Japan, we identify changes in monetary/fiscal policy interaction even during the period when unconventional monetary policy has been implemented. We find that the introduction of Qualitative and Quantitative Easing (QQE) enables the Bank of Japan to actively respond to the inflation rate, which has helped to push up inflation.

Suggested Citation

  • Nobuhiro Abe & Takuji Fueki & Sohei Kaihatsu, 2019. "Estimating a Markov Switching DSGE Model with Macroeconomic Policy Interaction," Bank of Japan Working Paper Series 19-E-3, Bank of Japan.
    • Handle: RePEc:boj:bojwps:wp19e03
    as

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    File URL: http://www.boj.or.jp/en/research/wps_rev/wps_2019/data/wp19e03.pdf
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    References listed on IDEAS

    as
    1. Takuji Fueki & Ichiro Fukunaga & Hibiki Ichiue & Toyoichiro Shirota, 2016. "Measuring Potential Growth with an Estimated DSGE Model of Japan’s Economy," International Journal of Central Banking, International Journal of Central Banking, vol. 12(1), pages 1-32, March.
    2. Timothy Cogley & Thomas J. Sargent, 2005. "Drift and Volatilities: Monetary Policies and Outcomes in the Post WWII U.S," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 8(2), pages 262-302, April.
    3. Sugo, Tomohiro & Ueda, Kozo, 2008. "Estimating a dynamic stochastic general equilibrium model for Japan," Journal of the Japanese and International Economies, Elsevier, vol. 22(4), pages 476-502, December.
    4. Hibiki Ichiue & Yoichi Ueno, 2018. "A Survey-based Shadow Rate and Unconventional Monetary Policy Effects," IMES Discussion Paper Series 18-E-05, Institute for Monetary and Economic Studies, Bank of Japan.
    5. Yoichi Ueno, 2017. "Term Structure Models with Negative Interest Rates," IMES Discussion Paper Series 17-E-01, Institute for Monetary and Economic Studies, Bank of Japan.
    6. Chang-Jin Kim & Charles R. Nelson, 1999. "State-Space Models with Regime Switching: Classical and Gibbs-Sampling Approaches with Applications," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262112388, December.
    Full references (including those not matched with items on IDEAS)

    Citations

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    Cited by:

    1. Meng, Xiangcai & Huang, Chia-Hsing, 2021. "The time-frequency analysis of conventional and unconventional monetary policy: Evidence from Japan," Japan and the World Economy, Elsevier, vol. 59(C).
    2. Sakuragawa, Masaya & Sakuragawa, Yukie, 2020. "Government fiscal projection and debt sustainability," Japan and the World Economy, Elsevier, vol. 54(C).

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    More about this item

    Keywords

    Monetary policy; Inflation; Markov-switching DSGE;
    All these keywords.

    JEL classification:

    • E52 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Monetary Policy
    • E62 - Macroeconomics and Monetary Economics - - Macroeconomic Policy, Macroeconomic Aspects of Public Finance, and General Outlook - - - Fiscal Policy; Modern Monetary Theory
    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models

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