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A structural Time Series Model with Markov Switching Author info | Abstract | Publisher info | Download info | Related research | Statistics Shami, R.G.
Forbes, C.S.
We propose an innovations form of the structural model underlying exponential smoothing that is further augmented by a latent Markov switching process. A particular case of the new model is the local level model with a switching drift, where the switching component describes the change between high and low growth rate periods. This new model is used to analyse the US business cycle using US Quarterly real GNP data. Model parameters are estimated using a Gibbs sampling algorithm and subsequently used for forecasting purposes. In addition, the stability of the new model is tested against Hamilton's model over a range of observation periods.
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Paper provided by Monash University, Department of Econometrics and Business Statistics in its series Monash Econometrics and Business Statistics Working Papers with number
10/2000.
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Length: 29 pages
Date of creation: Dec 2000Date of revision:
Handle: RePEc:msh:ebswps:2000-10Contact details of provider: Postal: PO Box 11E, Monash University, Victoria 3800, Australia Phone: +61-3-9905-2489 Fax: +61-3-9905-5474 Email: Web page: http://www.buseco.monash.edu.au/depts/ebs/ More information through EDIRC
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Keywords: Structural models ; Markov switching regime ; Gibbs sampling Business cycle. ; Other versions of this item:
Find related papers by JEL classification: C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: General - - - Bayesian Analysis C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Other Model Applications
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References listed on IDEAS Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile , click on "citations" and make appropriate adjustments.: Shami, R.G. & Snyder, R.D., 1998.
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"Estimation and Prediction for a Class of Dynamic Nonlinear Statistical Models ,"
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Aoki, Masanao, 1988.
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Journal of Economic Dynamics and Control ,
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Forbes, C.S. & Snyder, R.D. & Shami, R.S., 2000.
"Bayesian Exponential Smoothing ,"
Monash Econometrics and Business Statistics Working Papers
7/2000, Monash University, Department of Econometrics and Business Statistics.
[Downloadable!]
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references Cited by : (explanations , Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile , click on "citations" and make appropriate adjustments.)
Chin Nam Low & Heather Anderson & Ralph Snyder, 2006.
"Beveridge-Nelson Decomposition with Markov Switching ,"
Melbourne Institute Working Paper Series
wp2006n14, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.
[Downloadable!]
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