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A Comparison of the Forecasting Performance of Markov-Switching and Threshold Autoregressive Models of US GNP

Author

Listed:
  • Clements, M.P.
  • Krolzig, H.-M.

Abstract

While there has been a great deal of interest in the modeling of non-linearities in economic time series, there is no clear consensus regarding the forecasting abilities of non-linear time series models. We evaluate the performance of two leading non-linear models in forecasting post-war US GNP, the self-exciting threshold autoregressive model and the Markov-switching autoregressive model.

Suggested Citation

  • Clements, M.P. & Krolzig, H.-M., 1997. "A Comparison of the Forecasting Performance of Markov-Switching and Threshold Autoregressive Models of US GNP," The Warwick Economics Research Paper Series (TWERPS) 489, University of Warwick, Department of Economics.
    • Handle: RePEc:wrk:warwec:489
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    File URL: https://warwick.ac.uk/fac/soc/economics/research/workingpapers/1995-1998/twerp489.pdf
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    Cited by:

    1. Philip Rothman, "undated". "Higher-Order Residual Analysis for Simple Bilinear and Threshold Autoregressive Models with the TR Test," Working Papers 9813, East Carolina University, Department of Economics.
    2. Nissilä, Wilma, 2020. "Probit based time series models in recession forecasting – A survey with an empirical illustration for Finland," BoF Economics Review 7/2020, Bank of Finland.
    3. Moritz Cruz, 2005. "The business cycle in a financially deregulated context: Theory and evidence," International Review of Applied Economics, Taylor & Francis Journals, vol. 19(3), pages 271-287.
    4. Arruda, Elano Ferreira & Ferreira, Roberto Tatiwa & Castelar, Ivan, 2011. "Modelos Lineares e Não Lineares da Curva de Phillips para Previsão da Taxa de Inflação no Brasil," Revista Brasileira de Economia - RBE, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil), vol. 65(3), September.
    5. Moritz Cruz, 2005. "A three-regime business cycle model for an emerging economy," Applied Economics Letters, Taylor & Francis Journals, vol. 12(7), pages 399-402.

    More about this item

    Keywords

    TIME SERIES ; ECONOMETRICS;

    JEL classification:

    • C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection
    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods

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