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Measuring Business Cycle Turning Points in Japan with a Dynamic Markov Switching Factor Model

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  • Watanabe, Toshiaki

    (Tokyo Metropolitan U)

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    Abstract

    In the dynamic factor model, a single unobserved factor common to some macroeconomic variables is defined as a composite index to measure business cycles. This model has recently been developed by combining with the regime switching model so that the mean growth of the index may shift depending on whether the economy is in a boom regime or in a recession regime. An advantage of this dynamic Markov switching factor model is that estimating the model by a Bayesian method produces the posterior probabilities that the economy is in the recession regime, which can be used to date the business cycle turning points. This article estimates the dynamic Markov switching factor model using some macroeconomic variables in Japan. The model comparison using the Bayes factor does not provide strong evidence that the mean growth of the index shifts, but the dynamic Markov switching factor model is found to produce the estimates of turning points close to the reference dates of the Economic and Social Research Institute in the Cabinet Office, unless only weakly correlated variables are used.

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    Bibliographic Info

    Article provided by Institute for Monetary and Economic Studies, Bank of Japan in its journal Monetary and Economic Studies.

    Volume (Year): 21 (2003)
    Issue (Month): 1 (February)
    Pages: 35-68

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    Handle: RePEc:ime:imemes:v:21:y:2003:i:1:p:35-68

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    Cited by:
    1. Fujiwara, Ippei, 2006. "Evaluating monetary policy when nominal interest rates are almost zero," Journal of the Japanese and International Economies, Elsevier, vol. 20(3), pages 434-453, September.
    2. Howard J. Wall, 2006. "Regional business cycle phases in Japan," Working Papers 2006-053, Federal Reserve Bank of St. Louis.
    3. Mototsugu Shintani, 2003. "Nonlinear Forecasting Analysis Using Diffusion Indexes: An Application to Japan," Vanderbilt University Department of Economics Working Papers 0322, Vanderbilt University Department of Economics, revised Apr 2004.
    4. Konstantin A. Kholodilin, 2005. "Forecasting the German Cyclical Turning Points: Dynamic Bi-Factor Model with Markov Switching," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), Justus-Liebig University Giessen, Department of Statistics and Economics, vol. 225(6), pages 653-674, November.
    5. Chen, Shyh-Wei, 2007. "Measuring business cycle turning points in Japan with the Markov Switching Panel model," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 76(4), pages 263-270.

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