Applying flexible parameter restrictions in Markov-switching vector autoregression models
- Andrew Binning and Junior Maih
- Working Paper
We present a new method for imposing parameter restrictions in Markov-Switching Vector Autoregression (MS-VAR) models. Our method is more flexible than competing methodologies and easily handles a range of parameter restrictions over different equations, regimes and parameter types. We also expand the range of priors used in the MS-VAR literature. We demonstrate the versatility of our approach using three appropriate examples.
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ISSN 1502-8190 (online)