Regime-switching cointegration

Markus Jochmann, Gary Koop

Research output: Contribution to journalArticle

10 Citations (Scopus)
57 Downloads (Pure)

Abstract

We develop methods for Bayesian inference in vector error correction models which are subject to a variety of switches in regime (e.g., Markov switches in regime or structural breaks). An important aspect of our approach is that we allow both the cointegrating vectors and the number of cointegrating relationships to change when the regime changes. We show how Bayesian model averaging or model selection methods can be used to deal with the high-dimensional model space that results. Our methods are used in an empirical study of the Fisher effect.
Original languageEnglish
Pages (from-to)35–48
Number of pages14
JournalStudies in Nonlinear Dynamics and Econometrics
Volume19
Issue number1
Early online date28 Feb 2014
DOIs
Publication statusPublished - Feb 2014

Fingerprint

Regime Switching
Cointegration
regime
Switch
Bayesian Model Averaging
Error Correction Model
Structural Breaks
Bayesian inference
Model Selection
Empirical Study
High-dimensional
Regime switching
Model

Keywords

  • structural breaks
  • model averaging
  • Markov switching
  • cointegration
  • Bayesian

Cite this

Jochmann, Markus ; Koop, Gary. / Regime-switching cointegration. In: Studies in Nonlinear Dynamics and Econometrics. 2014 ; Vol. 19, No. 1. pp. 35–48.
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Regime-switching cointegration. / Jochmann, Markus; Koop, Gary.

In: Studies in Nonlinear Dynamics and Econometrics, Vol. 19, No. 1, 02.2014, p. 35–48.

Research output: Contribution to journalArticle

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