State-space models with regime switching: classical and Gibbs-sampling approaches with applications
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Bibliographische Detailangaben
1. Verfasser: Kim, Chang-Jin (VerfasserIn)
Format: Elektronisch E-Book
Sprache:English
Veröffentlicht: Cambridge, Mass. MIT Press ©1999
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Online-Zugang:FAW01
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Beschreibung:Includes bibliographical references and index
State-Space Models and Markov Switching in Econometrics: A Brief History -- - Computer Programs and Data -- - The Classical Approach -- - The Maximum Likelihood Estimation Method: Practical Issues -- - Maximum Likelihood Estimation and the Covariance Matrix of OML -- - The Prediction Error Decomposition and the Likelihood Function -- - Parameter Constraints and the Covariance Matrix of OML -- - State-Space Models and the Kalman Filter -- - Time-Varying-Parameter Models and the Kalman Filter -- - State-Space Models and the Kalman Filter -- - Application 1: A Decomposition of Real GDP and the Unemployment Rate into Stochastic Trend and Transitory Components -- - Application 2: An Application of the Time-Varying-Parameter Model to Modeling Changing Conditional Variance -- - Application 3: Stock and Watson's Dynamic Factor Model of the Coincident Economic Indicators -- - GAUSS Programs to Accompany Chapter 3 -- - Markov-Switching Models -- - Introduction: Serially Uncorrelated Data and Switching -- - Serially Correlated Data and Markov Switching -- - Issues Related to Markov-Switching Models -- - Application 1: Hamilton's Markov-Switching Model of Business Fluctuations -- - Application 2: A Unit Root in a Three-State Markov-Switching Model of the Real Interest Rate -- - Application 3: A Three-State Markov-Switching Variance Model of Stock Returns -- - GAUSS Programs to Accompany Chapter 4 -- - State-Space Models with Markov Switching -- - Specification of the Model -- - The Basic Filter and Estimation of the Model -- - Smoothing -- - An Evaluation of the Kim Filter and Approximate MLE.
Beschreibung:1 Online-Ressource (xii, 297 pages)
ISBN:0262112388
026227776X
0585087164
9780262277761
9780585087160

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