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Granger-Causality in Markov Switching ModelsMonica BillioCa Foscari University of Venice - Department of Economics Silvio Di SanzoUniversidad 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 working papers seriesDate posted: November 28, 2006Suggested CitationContact Information
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