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A Markov-switching model with component structure for US GNP

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  • Doornik, Jurgen A.

Abstract

The two-regime Markov-switching model that James Hamilton estimated for US real GNP up to 1984 does not survive extension of the data set. To allow for the ‘Great Moderation’ we require a mean and variance regime that evolve separately. The Markov-switching component model is proposed as a way to avoid estimating a fragile four-regime model. The resulting model captures business cycles and structural change in the variance well.

Suggested Citation

  • Doornik, Jurgen A., 2013. "A Markov-switching model with component structure for US GNP," Economics Letters, Elsevier, vol. 118(2), pages 265-268.
    • Handle: RePEc:eee:ecolet:v:118:y:2013:i:2:p:265-268
    DOI: 10.1016/j.econlet.2012.10.035
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    References listed on IDEAS

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    1. Laurent E. Calvet, 2004. "How to Forecast Long-Run Volatility: Regime Switching and the Estimation of Multifractal Processes," Journal of Financial Econometrics, Oxford University Press, vol. 2(1), pages 49-83.
    2. Kim, Chang-Jin, 1994. "Dynamic linear models with Markov-switching," Journal of Econometrics, Elsevier, vol. 60(1-2), pages 1-22.
    3. Hamilton, James D., 1990. "Analysis of time series subject to changes in regime," Journal of Econometrics, Elsevier, vol. 45(1-2), pages 39-70.
    4. 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.
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