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Contemporaneous threshold autoregressive models: estimation, testing and forecasting Author info | Abstract | Publisher info | Download info | Related research | Statistics Michael J. Dueker
Martin Sola
Fabio Spagnolo
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This paper proposes a contemporaneous smooth transition threshold autoregressive model (C-STAR) as a modification of the smooth transition threshold autoregressive model surveyed in Teräsvirta (1998), in which the regime weights depend on the ex ante probability that a latent regime-specific variable will exceed a threshold value. We argue that the contemporaneous model is well-suited to rational expectations applications (and pricing exercises), in that it does not require the initial regimes to be predetermined. We investigate the properties of the model and evaluate its finite-sample maximum likelihood performance. We also propose a method to determine the number of regimes based on a modified Hansen (1992) procedure. Furthermore, we construct multiple-step ahead forecasts and evaluate the forecasting performance of the model. Finally, an empirical application of the short term interest rate yield is presented and discussed. ; Earlier title: Contemporaneous threshold autoregressive models: estimation, forecasting and rational expectations applications
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Paper provided by Federal Reserve Bank of St. Louis in its series Working Papers with number
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Keywords: Rational expectations (Economic theory) Forecasting Other versions of this item:
Article Dueker, Michael J. & Sola, Martin & Spagnolo, Fabio, 2007.
"Contemporaneous threshold autoregressive models: Estimation, testing and forecasting ,"
Journal of Econometrics ,
Elsevier, vol. 141(2), pages 517-547, December.
[Downloadable!] (restricted) Paper This paper has been announced in the following NEP Reports :
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Dueker, Michael J. & Sola, Martin & Spagnolo, Fabio, 2007.
"Contemporaneous threshold autoregressive models: Estimation, testing and forecasting ,"
Journal of Econometrics ,
Elsevier, vol. 141(2), pages 517-547, December.
[Downloadable!] (restricted)
Other versions:
Michael J. Dueker & Martin Sola & Fabio Spagnolo, 2006.
"Contemporaneous threshold autoregressive models: estimation, testing and forecasting ,"
Working Papers
2003-024, Federal Reserve Bank of St. Louis.
[Downloadable!] Michael Dueker & Martin Sola & Fabio Spagnolo, 2007.
"Contemporaneous Threshold Autoregressive Models: Estimation, Testing and Forecasting ,"
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Working Paper Series in Economics and Finance
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Working Paper Series in Economics and Finance
0429, Stockholm School of Economics, revised 16 May 2002.
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D. Van Dijk & D. Strikholm & T. Terasvirta, 2001.
"The effects of institutional and technological change and business cycle fluctiations on seasonal patterns in quarterly industrial production series ,"
Econometric Institute Report
220, Erasmus University Rotterdam, Econometric Institute.
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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.)
Michael Dueker & Martin Sola & Fabio Spagnolo, 2007.
"Contemporaneous Threshold Autoregressive Models: Estimation, Testing and Forecasting ,"
Discussion Papers
5_2007, D.E.S. (Department of Economic Studies), University of Naples "Parthenope", Italy.
[Downloadable!]
Other versions:
Michael J. Dueker & Martin Sola & Fabio Spagnolo, 2006.
"Contemporaneous threshold autoregressive models: estimation, testing and forecasting ,"
Working Papers
2003-024, Federal Reserve Bank of St. Louis.
[Downloadable!] Dueker, Michael J. & Sola, Martin & Spagnolo, Fabio, 2007.
"Contemporaneous threshold autoregressive models: Estimation, testing and forecasting ,"
Journal of Econometrics ,
Elsevier, vol. 141(2), pages 517-547, December.
[Downloadable!] (restricted)
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