Forecasts With Single - Equation Markov - Switching Model: An Application To The Gross Domestic Product Of Latvia
The paper compares one-period ahead forecasting performance of linear vector-autoregressive (VAR) models and single-equation Markov-switching (MS) models for two cases: when leading information is available and when it is not. The results show that single-equation MS models tend to perform slightly better than linear VAR models when no leading information is available. However, if reliable leading information is available, single-equation MS models tend to give somewhat less precise forecasts than linear VAR models.
Volume (Year): 5 (2010)
Issue (Month): 2(12)/Summer2010 ()
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- Artis, Michael J & Krolzig, Hans-Martin & Toro, Juan, 1999.
"The European Business Cycle,"
CEPR Discussion Papers
2242, C.E.P.R. Discussion Papers.
- Artis, M. & Krolzig, H.-M. & Toro, J., 1999. "The European Business Cycle," Economics Working Papers eco99/24, European University Institute.
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- Hamilton, James D, 1989. "A New Approach to the Economic Analysis of Nonstationary Time Series and the Business Cycle," Econometrica, Econometric Society, vol. 57(2), pages 357-384, March.
- Bušs, Ginters, 2009. "Comparing forecasts of Latvia's GDP using simple seasonal ARIMA models and direct versus indirect approach," MPRA Paper 16684, University Library of Munich, Germany.
- Benoit Bellone, 2005. "Classical Estimation of Multivariate Markov-Switching Models using MSVARlib," Econometrics 0508017, EconWPA.
- repec:oxf:wpaper:2000-w31 is not listed on IDEAS
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