Modelling Breaks and Clusters in the Steady States of Macroeconomic Variables

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Chan, Joshua C.C. and Koop, Gary (2014) Modelling Breaks and Clusters in the Steady States of Macroeconomic Variables. Computational Statistics and Data Analysis, 76. pp. 186-193. ISSN 0167-9473 (https://doi.org/10.1016/j.csda.2013.05.007)

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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.

ORCID iDs

Chan, Joshua C.C. and Koop, Gary ORCID logoORCID: https://orcid.org/0000-0002-6091-378X;
CORE (COnnecting REpositories)