Abstract
An important task associated with the statistical analysis of MS-VAR models is discussed in this chapter: the filtering and smoothing of regime probabilities. In the MS-VAR model the state vector ΞΎ t is given a structural interpretation. Thus an inference on this unobserved variable is of interest for its own sake. However, the filtered and smoothed state probabilities provide not only information about the regime at time t, but also open the way for the computation of the likelihood function and consequently for maximum likelihood estimation and likelihood ratio tests.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Author information
Authors and Affiliations
Rights and permissions
Copyright information
Β© 1997 Springer-Verlag Berlin Heidelberg
About this chapter
Cite this chapter
Krolzig, HM. (1997). The BLHK Filter. In: Markov-Switching Vector Autoregressions. Lecture Notes in Economics and Mathematical Systems, vol 454. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-51684-9_6
Download citation
DOI: https://doi.org/10.1007/978-3-642-51684-9_6
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-63073-9
Online ISBN: 978-3-642-51684-9
eBook Packages: Springer Book Archive