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Enhanced reliability of the leading indicator in identifying turning points in Taiwan? an evaluation

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  • Shyh-Wei Chen

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    (Department of Economics, Tunghai University)

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    Abstract

    Using Taiwan data, we employ Dueker's (1997, 2002) Probit-Markov switching model toevaluate the performance of Taiwan''s leading indicator in identifying turning points.The merit of the Probit-MS model is that it incorporates the dependent structure of the leading indicator which is not taken consideration in the traditional Probit model.It is unambiguous that the best forecast horizon for Taiwan''s leading indicatorin predicting business conditions is three months.The performance of Taiwan''s leading index in identifying turning points based on the Probit-MS model is greatly enhanced when compared with that based on the Probit model,and beyond this, the model-identified business cycle dates are highly consistent with the officially identified turning points.

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    File URL: http://www.accessecon.com/pubs/EB/2006/Volume5/EB-05E30002A.pdf
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    Bibliographic Info

    Article provided by AccessEcon in its journal Economics Bulletin.

    Volume (Year): 5 (2006)
    Issue (Month): 10 ()
    Pages: 1-17

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    Handle: RePEc:ebl:ecbull:eb-05e30002

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    Keywords: business cycle;

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    1. Diebold & Rudebusch, . "Measuring Business Cycle: A Modern Perspective," Home Pages _061, University of Pennsylvania.
    2. 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 357-84, March.
    3. James H. Stock & Mark W. Watson, 1993. "Business Cycles, Indicators and Forecasting," NBER Books, National Bureau of Economic Research, Inc, number stoc93-1.
    4. Hansen, Bruce E, 1996. "Erratum: The Likelihood Ratio Test under Nonstandard Conditions: Testing the Markov Switching Model of GNP," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 11(2), pages 195-98, March-Apr.
    5. Francis X. Diebold & Glenn D. Rudebusch, 1987. "Scoring the leading indicators," Special Studies Papers 206, Board of Governors of the Federal Reserve System (U.S.).
    6. Chang-Jin Kim & Charles R. Nelson, 1998. "Business Cycle Turning Points, A New Coincident Index, And Tests Of Duration Dependence Based On A Dynamic Factor Model With Regime Switching," The Review of Economics and Statistics, MIT Press, vol. 80(2), pages 188-201, May.
    7. James H. Stock & Mark W. Watson, 1993. "Introduction to "Business Cycles, Indicators and Forecasting"," NBER Chapters, in: Business Cycles, Indicators and Forecasting, pages 1-10 National Bureau of Economic Research, Inc.
    8. Hamilton, James D & Perez-Quiros, Gabriel, 1996. "What Do the Leading Indicators Lead?," The Journal of Business, University of Chicago Press, vol. 69(1), pages 27-49, January.
    9. Maximo Camacho & Gabriel Perez-Quiros, 2000. "This Is What The Leading Indicators Lead," Computing in Economics and Finance 2000 132, Society for Computational Economics.
    10. Hansen, Bruce E, 1992. "The Likelihood Ratio Test under Nonstandard Conditions: Testing the Markov Switching Model of GNP," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 7(S), pages S61-82, Suppl. De.
    11. Ang, Andrew & Bekaert, Geert, 2002. "Regime Switches in Interest Rates," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(2), pages 163-82, April.
    12. Filardo, Andrew J, 1994. "Business-Cycle Phases and Their Transitional Dynamics," Journal of Business & Economic Statistics, American Statistical Association, vol. 12(3), pages 299-308, July.
    13. Chauvet, Marcelle, 1998. "An Econometric Characterization of Business Cycle Dynamics with Factor Structure and Regime Switching," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 39(4), pages 969-96, November.
    14. Michael J. Dueker, 2002. "Regime-dependent recession forecasts and the 2001 recession," Review, Federal Reserve Bank of St. Louis, issue Nov, pages 29-36.
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