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A Markov-Switching Model Of Gnp Growth With Duration Dependence

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  • Pok-sang Lam

Abstract

A Markov-switching model of postwar quarterly real GNP growth is used to examine the duration dependence of business cycles. It extends the Hamilton model and the duration-dependent model of Durland and McCurdy, and compares quite favorably to simpler models in out-of-sample forecasting. When an expansion begins, the probability of the expansion ending is 0.2, but it gradually decreases as the expansion ages. When a contraction begins, the probability of the contraction terminating is 0.07, but it increases rapidly as the contraction ages. Output growth slows over the course of an expansion. The hypothesis of the 7-10-year cycle is not supported. Copyright 2004 by the Economics Department Of The University Of Pennsylvania And Osaka University Institute Of Social And Economic Research Association.

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  • Pok-sang Lam, 2004. "A Markov-Switching Model Of Gnp Growth With Duration Dependence," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 45(1), pages 175-204, February.
  • Handle: RePEc:ier:iecrev:v:45:y:2004:i:1:p:175-204
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    Cited by:

    1. Jensen, Mark J. & Liu, Ming, 2006. "Do long swings in the business cycle lead to strong persistence in output?," Journal of Monetary Economics, Elsevier, vol. 53(3), pages 597-611, April.
    2. repec:wyi:journl:002202 is not listed on IDEAS
    3. Bilgili, Faik, 2012. "Linear and nonlinear TAR panel unit root analyses for solid biomass energy supply of European countries," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(9), pages 6775-6781.
    4. Rose Cunningham & Ilan Kolet, 2007. "Housing Market Cycles and Duration Dependence in the United States and Canada," Staff Working Papers 07-2, Bank of Canada.
    5. Chib & Siddhartha; Dueker, 2004. "Non-Markovian Regime Switching with Endogenous States and Time-Varying State Strengths," Econometric Society 2004 North American Summer Meetings 600, Econometric Society.
    6. Bilgili, Faik & Tülüce, Nadide Sevil Halıcı & Doğan, İbrahim, 2012. "The determinants of FDI in Turkey: A Markov Regime-Switching approach," Economic Modelling, Elsevier, vol. 29(4), pages 1161-1169.
    7. Oglend, Atle & Selland Kleppe, Tore, 2016. "How regular are directional movements in commodity and asset prices? A Wald test," Journal of Empirical Finance, Elsevier, vol. 38(PA), pages 290-306.
    8. Zheng, Tingguo & Zuo, Haomiao, 2013. "Reexamining the time-varying volatility spillover effects: A Markov switching causality approach," The North American Journal of Economics and Finance, Elsevier, vol. 26(C), pages 643-662.
    9. Vitor Castro, 2013. "The duration of business cycle expansions and contractions: are there change-points in duration dependence?," Empirical Economics, Springer, vol. 44(2), pages 511-544, April.
    10. Tiwari, Aviral Kumar & Albulescu, Claudiu Tiberiu, 2016. "Oil price and exchange rate in India: Fresh evidence from continuous wavelet approach and asymmetric, multi-horizon Granger-causality tests," Applied Energy, Elsevier, pages 272-283.
    11. Marjan Petreski, 2010. "An Overhaul of a Doctrine: Has Inflation Targeting Opened a New Era in Developing-country Peggers?," FIW Working Paper series 057, FIW.
    12. Martha Misas & María Teresa Ramírez, 2005. "Depressions In The Colombian Economic Growth During The Xx Century:A Markov Switching Regime Model," BORRADORES DE ECONOMIA 002274, BANCO DE LA REPÚBLICA.
    13. McKay, Alisdair & Reis, Ricardo, 2008. "The brevity and violence of contractions and expansions," Journal of Monetary Economics, Elsevier, vol. 55(4), pages 738-751, May.
    14. Martha Misas & María Teresa Ramírez, 2006. "Colombian economic growth under Markov switching regimes with endogenous transition probabilities," BORRADORES DE ECONOMIA 002148, BANCO DE LA REPÚBLICA.
    15. Switzer, Lorne N. & Picard, Alan, 2016. "Stock market liquidity and economic cycles: A non-linear approach," Economic Modelling, Elsevier, vol. 57(C), pages 106-119.
    16. de Bruijn, L.P. & Franses, Ph.H.B.F., 2015. "Stochastic levels and duration dependence in US unemployment," Econometric Institute Research Papers EI2015-20, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

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