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Bayesian analysis of time-varying parameter vector autoregressive model for the Japanese economy and monetary policy

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  • Nakajima, Jouchi
  • Kasuya, Munehisa
  • Watanabe, Toshiaki

Abstract

This paper analyzes the time-varying parameter vector autoregressive (TVP-VAR) model for the Japanese economy and monetary policy. The parameters are allowed to follow a random walk process and estimated using the Markov chain Monte Carlo method. The empirical result reveals the time-varying structure of the Japanese economy and monetary policy during the period from 1981 to 2008. The marginal likelihoods of the TVP-VAR model and other fixed parameter VAR models are estimated for model comparison. The estimated marginal likelihoods indicate that the TVP-VAR model best fits the Japanese economic data.

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Bibliographic Info

Article provided by Elsevier in its journal Journal of the Japanese and International Economies.

Volume (Year): 25 (2011)
Issue (Month): 3 (September)
Pages: 225-245

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Handle: RePEc:eee:jjieco:v:25:y:2011:i:3:p:225-245

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Web page: http://www.elsevier.com/locate/inca/622903

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Keywords: Bayesian inference Markov chain Monte Carlo Monetary policy State space model Stochastic volatility Time-varying parameter vector autoregressive model;

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References

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Citations

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Cited by:
  1. Arratibel, Olga & Michaelis, Henrike, 2013. "The Impact of Monetary Policy and Exchange Rate Shocks in Poland: Evidence from a Time-Varying VAR," Discussion Papers in Economics 21088, University of Munich, Department of Economics.
  2. Girardin, Eric & Moussa, Zakaria, 2011. "Quantitative easing works: Lessons from the unique experience in Japan 2001–2006," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 21(4), pages 461-495, October.
  3. Chance Mwabutwa & Manoel Bittencourt & Nicola Viegi, 2013. "Evolution of Monetary Policy Transmission Mechanism in Malawi: A TVP-VAR Approach," Working Papers 201327, University of Pretoria, Department of Economics.
  4. Bekiros, Stelios D. & Paccagnini, Alessia, 2014. "Bayesian forecasting with small and medium scale factor-augmented vector autoregressive DSGE models," Computational Statistics & Data Analysis, Elsevier, vol. 71(C), pages 298-323.
  5. Kagraoka, Yusho & Moussa, Zakaria, 2013. "Quantitative easing, credibility and the time-varying dynamics of the term structure of interest rate in Japan," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 25(C), pages 181-201.
  6. Ko, Jun-Hyung & Murase, Koichi, 2013. "Great Moderation in the Japanese economy," Japan and the World Economy, Elsevier, vol. 27(C), pages 10-24.
  7. Moussa, Zakaria, 2010. "The Japanese Quantitative Easing Policy under Scrutiny: A Time-Varying Parameter Factor-Augmented VAR Model," MPRA Paper 29429, University Library of Munich, Germany.
  8. Chai, Jian & Guo, Ju-E. & Meng, Lei & Wang, Shou-Yang, 2011. "Exploring the core factors and its dynamic effects on oil price: An application on path analysis and BVAR-TVP model," Energy Policy, Elsevier, vol. 39(12), pages 8022-8036.
  9. Nikolay Hristov & Oliver Hülsewig & Thomas Siemsen & Timo Wollmershäuser, 2014. "Smells Like Fiscal Policy? Assessing the Potential Effectiveness of the ECB's OMT Program," CESifo Working Paper Series 4628, CESifo Group Munich.
  10. Jun-Hyung Ko & Hiroshi Morita, 2013. "Regime Switches in Japanese Fiscal Policy: Markov-Switching VAR Approach," Global COE Hi-Stat Discussion Paper Series gd12-270, Institute of Economic Research, Hitotsubashi University.
  11. Ikram Jebabli & Mohamed Arouri & Frédéric Teulon, 2014. "On the effects of world stock market and oil price shocks on food prices: An empirical investigation based on TVPVAR models with stochastic volatility," Working Papers 2014-209, Department of Research, Ipag Business School.
  12. Michaelis, Henrike & Watzka, Sebastian, 2014. "Are there Differences in the Effectiveness of Quantitative Easing in Japan over Time?," Discussion Papers in Economics 21087, University of Munich, Department of Economics.
  13. Jouchi Nakajima, 2011. "Time-Varying Parameter VAR Model with Stochastic Volatility: An Overview of Methodology and Empirical Applications," IMES Discussion Paper Series 11-E-09, Institute for Monetary and Economic Studies, Bank of Japan.
  14. Masahiko Shibamoto, 2014. "Source of Underestimation of Monetary Policy Effect: Re-examination of the Policy Effectiveness in Japan's 1990s," Discussion Paper Series DP2014-10, Research Institute for Economics & Business Administration, Kobe University.
  15. Arratibel, Olga & Michaelis, Henrike, 2014. "The impact of monetary policy and exchange rate shocks in Poland: evidence from a time-varying VAR," Working Paper Series 1636, European Central Bank.
  16. Masazumi Hattori & Andreas Schrimpf & Vladyslav Sushko, 2013. "The response of tail risk perceptions to unconventional monetary policy," BIS Working Papers 425, Bank for International Settlements.
  17. Banerjee, A. & Malik, S., 2012. "The changing role of expectations in US monetary policy: A new look using the Livingston Survey," Working papers 376, Banque de France.
  18. Michal Franta, 2011. "Identification of Monetary Policy Shocks in Japan Using Sign Restrictions within the TVP-VAR Framework," IMES Discussion Paper Series 11-E-13, Institute for Monetary and Economic Studies, Bank of Japan.

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