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Bayesian Analysis of Time-Varying Parameter Vector Autoregressive Model for the Japanese Economy and Monetary Policy

Author

Listed:
  • Jouchi Nakajima
  • Munehisa Kasuya
  • Toshiaki Watanabe
Abstract
This paper analyzes the time-varying parameter vector autoregressive (TVP-VAR) model for the Japanese economy and monetary policy. The time-varying parameters are estimated via the Markov chain Monte Carlo method and the posterior estimates of parameters reveal 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 VAR models are also estimated. The estimated marginal likelihoods indicate that the TVP-VAR model best fits the Japanese economic data.

Suggested Citation

  • Jouchi Nakajima & Munehisa Kasuya & Toshiaki Watanabe, 2009. "Bayesian Analysis of Time-Varying Parameter Vector Autoregressive Model for the Japanese Economy and Monetary Policy," Global COE Hi-Stat Discussion Paper Series gd09-072, Institute of Economic Research, Hitotsubashi University.
    • Handle: RePEc:hst:ghsdps:gd09-072
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    References listed on IDEAS

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    More about this item

    Keywords

    Bayesian inference; Markov chain Monte Carlo; Monetary policy; State space model; Structural vector autoregressive model; Stochastic volatility; Time-varying parameter;
    All these keywords.

    JEL classification:

    • C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General
    • C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General
    • E52 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Monetary Policy

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