State-space models with regime switching classical and Gibbs-sampling approaches with applications

"Both state-space models and Markov-switching models have been highly productive paths for empirical research in macroeconomics and finance. This book presents recent advances in econometric methods that make feasible the estimation of models that have both features. One approach, in the classi...

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Bibliographic Details
Main Author: Kim, Chang-Jin
Other Authors: Nelson, Charles R.
Format: eBook
Language:English
Published: Cambridge, Mass. MIT Press 1999
Subjects:
Online Access:
Collection: MIT Press eBook Archive - Collection details see MPG.ReNa
Description
Summary:"Both state-space models and Markov-switching models have been highly productive paths for empirical research in macroeconomics and finance. This book presents recent advances in econometric methods that make feasible the estimation of models that have both features. One approach, in the classical framework, approximates the likelihood function; the other, in the Bayesian framework, uses Gibbs-sampling to simulate posterior distributions from data."--Jacket
Physical Description:xii, 297 pages illustrations
ISBN:0262277115
9780262277112
0585087164
9780585087160