Determining the Number of Regimes in Markov-Switching VAR and VMA Models
Download full text from publisher
References listed on IDEAS
- Hansen, Bruce E, 1992. "The Likelihood Ratio Test under Nonstandard Conditions: Testing the Markov Switching Model of GNP," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 7(S), pages 61-82, Suppl. De.
- Thomas Doan & Robert B. Litterman & Christopher A. Sims, 1983.
"Forecasting and Conditional Projection Using Realistic Prior Distributions,"
NBER Working Papers
1202, National Bureau of Economic Research, Inc.
- Thomas Doan & Robert B. Litterman & Christopher A. Sims, 1986. "Forecasting and conditional projection using realistic prior distribution," Staff Report 93, Federal Reserve Bank of Minneapolis.
- Engel, Charles & Hamilton, James D, 1990. "Long Swings in the Dollar: Are They in the Data and Do Markets Know It?," American Economic Review, American Economic Association, vol. 80(4), pages 689-713, September.
- Zacharias Psaradakis & Nicola Spagnolo, 2003.
"On The Determination Of The Number Of Regimes In Markov-Switching Autoregressive Models,"
Journal of Time Series Analysis,
Wiley Blackwell, vol. 24(2), pages 237-252, March.
- Zacharias Psaradakis & Nicola Spagnolo, 2002. "On the Determination of the Number of Regimes in Markov-Switching Autoregressive Models," Computing in Economics and Finance 2002 83, Society for Computational Economics.
- Zacharias Psaradakis & Nicola Spagnolo, 2006. "Joint Determination of the State Dimension and Autoregressive Order for Models with Markov Regime Switching," Journal of Time Series Analysis, Wiley Blackwell, vol. 27(5), pages 753-766, September.
More about this item
KeywordsSecond-order stationary time series; VMA models; VAR models; State-Space models; Markov chains; changes in regime; regime number.;
- C01 - Mathematical and Quantitative Methods - - General - - - Econometrics
- C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
- C50 - Mathematical and Quantitative Methods - - Econometric Modeling - - - General
- C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection
NEP fieldsThis paper has been announced in the following NEP Reports:
- NEP-ALL-2013-03-16 (All new papers)
- NEP-ECM-2013-03-16 (Econometrics)
- NEP-ETS-2013-03-16 (Econometric Time Series)
- NEP-ORE-2013-03-16 (Operations Research)
StatisticsAccess and download statistics
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ven:wpaper:2013:03. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Geraldine Ludbrook). General contact details of provider: http://edirc.repec.org/data/dsvenit.html .