Bayesian Inference in Cointegrated I (2) Systems: A Generalization of the Triangular Model
AbstractThis paper generalizes the cointegrating model of Phillips (1991) to allow for I (0), I (1) and I (2) processes. The model has a simple form that permits a wider range of I (2) processes than are usually considered, including a more flexible form of polynomial cointegration. Further, the specification relaxes restrictions identified by Phillips (1991) on the I (1) and I (2) cointegrating vectors and restrictions on how the stochastic trends enter the system. To date there has been little work on Bayesian I (2) analysis and so this paper attempts to address this gap in the literature. A method of Bayesian inference in potentially I (2) processes is presented with application to Australian money demand using a Jeffreys prior and a shrinkage prior.
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Bibliographic InfoArticle provided by Taylor and Francis Journals in its journal Econometric Reviews.
Volume (Year): 26 (2007)
Issue (Month): 2-4 ()
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Other versions of this item:
- Rodney W. Strachan, 2005. "Bayesian Inference in Cointegrated I (2) Systems: a Generalisation of the Triangular Model," Discussion Papers in Economics 05/14, Department of Economics, University of Leicester.
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- Justyna Wróblewska, 2009. "Bayesian Model Selection in the Analysis of Cointegration," Central European Journal of Economic Modelling and Econometrics, CEJEME, vol. 1(1), pages 57-69, March.
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