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

Kim, Chang-Jin, - Personal Name; Nelson, Charles R. - Personal Name;

"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.OCLC-licensed vendor bibliographic record.


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Detail Information
Series Title
-
Call Number
-
Publisher
Cambridge, Mass. : : MIT Press,., 1999.
Collation
1 online resource (xii, 297 pages) :illustrations
Language
English
ISBN/ISSN
9780585087160
Classification
-
Content Type
-
Media Type
-
Carrier Type
-
Edition
-
Subject(s)
Economics
State-space methods.
Heteroscedasticity.
Sampling (Statistics)
Econometrics.
Markov processes.
Econometric models.
Specific Detail Info
-
Statement of Responsibility
Chang-Jin Kim and Charles R. Nelson.
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