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Is there a duration dependence in Taiwan's business cycles?

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  • Shyh-Wei Chen
  • Chung-Hua Shen
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    Abstract

    This paper intends to investigate the duration dependent feature of Taiwan's business cycles. The constant Markov switching model is revised to take account of the duration dependent feature. The most innovative findings herein are that there is no duration dependence for contraction for the circa pre-1990 periods and no duration dependence for expansion for the circa post-1990 periods. However, there is duration dependence for economic expansion for the circa pre-1990 and duration dependence for contraction for circa post-1990 periods, respectively. In addition, the recessionary dates identified by the duration dependent Markov switching model are identical to the officially defined recessionary chronologies.

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    File URL: http://www.tandfonline.com/doi/abs/10.1080/10168730500515357
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    Bibliographic Info

    Article provided by Taylor & Francis Journals in its journal International Economic Journal.

    Volume (Year): 20 (2006)
    Issue (Month): 1 ()
    Pages: 109-128

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    Handle: RePEc:taf:intecj:v:20:y:2006:i:1:p:109-128

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    Related research

    Keywords: Duration dependence; business cycle; Markov switching model; Gibbs sampling;

    References

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    1. Francis X. Diebold & Glenn D. Rudebusch & Daniel E. Sichel, 1991. "Further evidence on business cycle duration dependence," Working Papers 91-11, Federal Reserve Bank of Philadelphia.
    2. Durland, J Michael & McCurdy, Thomas H, 1994. "Duration-Dependent Transitions in a Markov Model of U.S. GNP Growth," Journal of Business & Economic Statistics, American Statistical Association, vol. 12(3), pages 279-88, July.
    3. Siddhartha Chib & Edward Greenberg, 1994. "Markov Chain Monte Carlo Simulation Methods in Econometrics," Econometrics 9408001, EconWPA, revised 24 Oct 1994.
    4. Andrew J. Filardo & Stephen F. Gordon, 1993. "Business cycle durations," Research Working Paper 93-11, Federal Reserve Bank of Kansas City.
    5. 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.
    6. Hamilton, James D & Gang, Lin, 1996. "Stock Market Volatility and the Business Cycle," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 11(5), pages 573-93, Sept.-Oct.
    7. Ghysels, Eric, 1994. "On the Periodic Structure of the Business Cycle," Journal of Business & Economic Statistics, American Statistical Association, vol. 12(3), pages 289-98, July.
    8. 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.
    9. Layton, Allan P., 1998. "A further test of the influence of leading indicators on the probability of US business cycle phase shifts," International Journal of Forecasting, Elsevier, vol. 14(1), pages 63-70, March.
    10. 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.
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    Cited by:
    1. Vítor Castro, 2011. "The Portuguese Business Cycle: Chronology and Duration Dependence," NIPE Working Papers 11/2011, NIPE - Universidade do Minho.
    2. Vitor Castro, 2013. "The Portuguese stock market cycle: Chronology and duration dependence," OECD Journal: Journal of Business Cycle Measurement and Analysis, OECD Publishing,CIRET, vol. 2013(1), pages 1-23.

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