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Granger-Causality in Markov Switching Models


Monica Billio


Ca Foscari University of Venice - Department of Economics

Silvio Di Sanzo


Universidad de Alicante

March 2006

University Ca' Foscari of Venice, Dept. of Economics Research Paper Series No. 20/WP/2006

Abstract:     
In this paper we propose a new parametrisation of transition probabilities that allows us to characterize and test Granger-causality in Markov switching models by means of an appropriate specification of the transition matrix. Test for independence are also provided. We illustrate our methodology with an empirical application. In particular, we investigate the causality and interdependence between financial and economic cycles using a bivariate Markov switching model. When applied to U.S. data, we find that financial variables are useful for forecasting the direction of aggregate economic activity, and vice versa.

Number of Pages in PDF File: 20

Keywords: Granger Causality, Markov Chains, Switching Models

JEL Classification: C53, C32

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Date posted: November 28, 2006  

Suggested Citation

Billio, Monica and Di Sanzo, Silvio, Granger-Causality in Markov Switching Models (March 2006). University Ca' Foscari of Venice, Dept. of Economics Research Paper Series No. 20/WP/2006. Available at SSRN: http://ssrn.com/abstract=947672 or http://dx.doi.org/10.2139/ssrn.947672

Contact Information

Monica Billio (Contact Author)
Ca Foscari University of Venice - Department of Economics ( email )
Cannaregio 873
Venice, 30121
Italy
HOME PAGE: http://venus.unive.it/billio
Silvio Di Sanzo
University of Alicante ( email )
Campus de San Vicente
03690 San Vicente del Raspeig, Alicante
Spain
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