Modelling Breaks and Clusters in the Steady States of Macroeconomic Variables
17 Pages Posted: 24 Feb 2012
Date Written: February 2012
Abstract
Macroeconomists working with multivariate models typically face uncertainty over which (if any) of their variables have long run steady states which are subject to breaks. Furthermore, the nature of the break process is often unknown. In this paper, we draw on methods from the Bayesian clustering literature to develop an econometric methodology which: i) finds groups of variables which have the same number of breaks; and ii) determines the nature of the break process within each group. We present an application involving a five-variate steady-state VAR.
Suggested Citation: Suggested Citation
Chan, Joshua C. C. and Chan, Joshua C. C. and Koop, Gary, Modelling Breaks and Clusters in the Steady States of Macroeconomic Variables (February 2012). Available at SSRN: https://ssrn.com/abstract=2010260 or http://dx.doi.org/10.2139/ssrn.2010260
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