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Bayesian analysis of a Markov switching temporal cointegration model

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  • Sugita, Katsuhiro
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    Abstract

    This paper introduces a Bayesian approach to a Markov switching cointegration model that allows the cointegration relationships to be switched on and off depending on the regime. Unlike a classical method for nonlinear cointegration model that uses the cointegrating vector based on a linear cointegration model, the proposed Bayesian method allows for estimation of the cointegrating vector within a nonlinear framework conditional on the regime variables through the Gibbs sampling so that it generates more reliable estimation. The Bayes factors are applied to test for Markov switching and model specifications. The purchasing power parity (PPP) relationship between UK and US is investigated using the proposed model for illustration.

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    Bibliographic Info

    Article provided by Elsevier in its journal Japan and the World Economy.

    Volume (Year): 20 (2008)
    Issue (Month): 2 (March)
    Pages: 257-274

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    Handle: RePEc:eee:japwor:v:20:y:2008:i:2:p:257-274

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    Web page: http://www.elsevier.com/locate/inca/505557

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    References

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    1. 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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    3. Chang-Jin Kim & Charles Nelson, 1999. "A Bayesian Approach to Testing for Markov Switching in Univariate and Dynamic Factor Models," Working Papers 0035, University of Washington, Department of Economics.
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      • Balke, Nathan S & Fomby, Thomas B, 1997. "Threshold Cointegration," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 38(3), pages 627-45, August.
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    Cited by:
    1. Angang Hu & Jie Lu & Zhengyan Xiao, 2011. "Has China's Economy Become More Stable and Inertial? Nonlinear Investigations Based on Structural Break and Duration Dependent Regime Switching Models," Annals of Economics and Finance, Society for AEF, vol. 12(1), pages 157-181, May.
    2. Jie Lu & Angang Hu & Yilong Yan, 2012. "Nonlinear investigations of China's agricultural transformation based on the structural break regime switching model," China Agricultural Economic Review, Emerald Group Publishing, vol. 4(1), pages 52-68, February.

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