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A New Composite Index of Coincident Economic Indicators in Japan: How can we improve the forecast performance?

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Listed:
  • Shin-ichi Fukuda

    (Faculty of Economics, Universtiy of Tokyo)

  • Takashi Onodera

    (Nihon Keizai Shimbun, Inc.)

Abstract

The purpose of this paper is to construct a new composite index of coincident economic indicators in Japan and to demonstrate their usefulness in forecasting recent short-run economic fluctuations. The method of construction is based on the single-index dynamic factor model. Our two types of indexes are highly correlated with the traditional composite index compiled by the EPA over business-cycle horizons. However, standard leading indicators, which failed to forecast the traditional composite index, make a satisfactory performance in forecasting our indexes in the 1990s. In addition, lagged values of our indexes help to improve the leading indicators' performance in forecasting the traditional composite index in the 1990s. The result is noteworthy because a large number of research institutes made serious errors in forecasting recent recessions in Japan.

Suggested Citation

  • Shin-ichi Fukuda & Takashi Onodera, 2001. "A New Composite Index of Coincident Economic Indicators in Japan: How can we improve the forecast performance? ," CIRJE F-Series CIRJE-F-101, CIRJE, Faculty of Economics, University of Tokyo.
    • Handle: RePEc:tky:fseres:2001cf101
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    References listed on IDEAS

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    1. Danny Quah & Thomas J. Sargent, 1993. "A Dynamic Index Model for Large Cross Sections," NBER Chapters, in: Business Cycles, Indicators, and Forecasting, pages 285-310, National Bureau of Economic Research, Inc.
    2. Bayoumi, Tamim, 2001. "The morning after: explaining the slowdown in Japanese growth in the 1990s," Journal of International Economics, Elsevier, vol. 53(2), pages 241-259, April.
    3. Motonishi, Taizo & Yoshikawa, Hiroshi, 1999. "Causes of the Long Stagnation of Japan during the 1990s: Financial or Real?," Journal of the Japanese and International Economies, Elsevier, vol. 13(3), pages 181-200, September.
    4. Hamilton, James D, 1989. "A New Approach to the Economic Analysis of Nonstationary Time Series and the Business Cycle," Econometrica, Econometric Society, vol. 57(2), pages 357-384, March.
    5. Stock, James H. & Watson, Mark W., 1999. "Business cycle fluctuations in us macroeconomic time series," Handbook of Macroeconomics, in: J. B. Taylor & M. Woodford (ed.), Handbook of Macroeconomics, edition 1, volume 1, chapter 1, pages 3-64, Elsevier.
    6. Marianne Baxter & Robert G. King, 1999. "Measuring Business Cycles: Approximate Band-Pass Filters For Economic Time Series," The Review of Economics and Statistics, MIT Press, vol. 81(4), pages 575-593, November.
    7. Kanoh, Satoru, 1990. "Statistical reconsideration of the epa diffusion index," Journal of the Japanese and International Economies, Elsevier, vol. 4(2), pages 139-156, June.
    8. Diebold, Francis X & Rudebusch, Glenn D, 1996. "Measuring Business Cycles: A Modern Perspective," The Review of Economics and Statistics, MIT Press, vol. 78(1), pages 67-77, February.
    9. James H. Stock & Mark W. Watson, 1989. "New Indexes of Coincident and Leading Economic Indicators," NBER Chapters, in: NBER Macroeconomics Annual 1989, Volume 4, pages 351-409, National Bureau of Economic Research, Inc.
    10. Takeo Hoshi & Anil Kashyap, 2000. "The Japanese Banking Crisis: Where Did It Come From and How Will It End?," NBER Chapters, in: NBER Macroeconomics Annual 1999, Volume 14, pages 129-212, National Bureau of Economic Research, Inc.
    11. James H. Stock & Mark W. Watson, 1993. "Business Cycles, Indicators, and Forecasting," NBER Books, National Bureau of Economic Research, Inc, number stoc93-1, May.
    12. Stock, James H. & Watson, Mark W. (ed.), 1993. "Business Cycles, Indicators, and Forecasting," National Bureau of Economic Research Books, University of Chicago Press, edition 1, number 9780226774886, December.
    13. Chang-Jin Kim & Charles R. Nelson, 1999. "Has The U.S. Economy Become More Stable? A Bayesian Approach Based On A Markov-Switching Model Of The Business Cycle," The Review of Economics and Statistics, MIT Press, vol. 81(4), pages 608-616, November.
    14. Watson, Mark W. & Engle, Robert F., 1983. "Alternative algorithms for the estimation of dynamic factor, mimic and varying coefficient regression models," Journal of Econometrics, Elsevier, vol. 23(3), pages 385-400, December.
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