This file is part of IDEAS, which uses RePEc data


[ Papers | Articles | Software | Books | Chapters | Authors | Institutions | JEL Classification | NEP reports | Search | New papers by email | Author registration | Rankings | Volunteers | FAQ | Blog | Help! ]

The performance of alternative forecasting methods for SETAR models

Author info | Abstract | Publisher info | Download info | Related research | Statistics
Author Info
Clements, Michael P.
Smith, Jeremy

Additional information is available for the following registered author(s):

Abstract

No abstract is available for this item.

Download Info
To download:

If you experience problems downloading a file, check if you have the proper application to view it first. Information about this may be contained in the File-Format links below. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

File URL: http://www.sciencedirect.com/science/article/B6V92-3SX4NTF-3/2/5f0d8bdcb87864d5026555e0bdc03929
File Format:
File Function:
Download Restriction: Full text for ScienceDirect subscribers only

As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.

Publisher Info
Article provided by Elsevier in its journal International Journal of Forecasting.

Volume (Year): 13 (1997)
Issue (Month): 4 (December)
Pages: 463-475
Download reference. The following formats are available: HTML (with abstract), plain text (with abstract), BibTeX, RIS (EndNote, RefMan, ProCite), ReDIF
Handle: RePEc:eee:intfor:v:13:y:1997:i:4:p:463-475

Contact details of provider:
Web page: http://www.elsevier.com/locate/ijforecast

For technical questions regarding this item, or to correct its listing, contact: (Heidi Boesdal).

Related research
Keywords:

Other versions of this item:

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.)
  1. Manzan, S. & Zerom, D., 2005. "A Multi-Step Forecast Density," CeNDEF Working Papers 05-05, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance. [Downloadable!]
  2. Lanne, Markku, 1999. "Testing the Expectations Hypothesis of the Term Structure of Interest Rates in the Presence of a Potential Regime Shift," Research Discussion Papers 20/1999, Bank of Finland. [Downloadable!]
    Other versions:
  3. David McMillan, 2008. "Non-linear cointegration and adjustment: an asymmetric exponential smooth-transition model for US interest rates," Empirical Economics, Springer, vol. 35(3), pages 591-606, November. [Downloadable!] (restricted)
  4. Duarte, A. & Venetis, I. & Payá, I., 2004. "Curva de rendimientos y crecimiento de la producción real en la UEM: eficiencia y estabilidad predictiva./Yield Curve and Real Output Growth in the EMU: Efficiency and Predictive Stability," Estudios de Economía Aplicada, Estudios de Economía Aplicada, vol. 22, pages 21, Abril. [Downloadable!] (restricted)
  5. Hui Feng & Jia Liu, 2002. "A SETAR Model for Canadian GDP: Non-Linearities and Forecast Comparisons," Econometrics Working Papers 0206, Department of Economics, University of Victoria. [Downloadable!]
    Other versions:
  6. 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!]
    Other versions:
  7. Gianna Boero & Emanuela Marrocu, 2002. "The performance of Setar Models: a regime conditional evaluation of point, interval and density forecasts," Working Paper CRENoS 200208, Centre for North South Economic Research, University of Cagliari and Sassari, Sardinia. [Downloadable!]
    Other versions:
  8. M.P. Clements & Ph.H.B.F. Franses & J. Smith, 1999. "On SETAR non-linearity and forecasting," Econometric Institute Report 141, Erasmus University Rotterdam, Econometric Institute. [Downloadable!]
    Other versions:
  9. Massimo Guidolin & Carrie Fangzhou Na, 2007. "The economic and statistical value of forecast combinations under regime switching: an application to predictable U.S. returns," Working Papers 2006-059, Federal Reserve Bank of St. Louis. [Downloadable!]
  10. Leonardo Souza & Alvaro Veiga & Marcelo C. Medeiros, 2002. "Evaluating the performance of GARCH models using White´s Reality Check," Textos para discussão 453, Department of Economics PUC-Rio (Brazil). [Downloadable!]
  11. D. van Dijk & T. Terasvirta & P.H. Franses, 2000. "Smooth transition autoregressive models - A survey of recent developments," Econometric Institute Report 200, Erasmus University Rotterdam, Econometric Institute. [Downloadable!]
    Other versions:
  12. Pedro M.D.C.B. Gouveia & Denise R. Osborn & Paulo M.M. Rodrigues, 2008. "Comparing Seasonal Forecasts of Industrial Production," Centre for Growth and Business Cycle Research Discussion Paper Series 102, Economics, The Univeristy of Manchester. [Downloadable!]
  13. Gianna Boero & Emanuela Marrocu, 2001. "Evaluating non-linear models on point and interval forecasts: an application with exchange rate returns," Working Paper CRENoS 200110, Centre for North South Economic Research, University of Cagliari and Sassari, Sardinia. [Downloadable!]
  14. Holt, Matthew T. & Craig, Lee A., 2006. "AJAE Appendix: Nonlinear Dynamics and Structural Change in the U.S. Hog-Corn Ratio: A Time-Varying Star Approach," American Journal of Agricultural Economics Appendices, Agricultural and Applied Economics Association, vol. 88(1), February. [Downloadable!]
  15. P. Rothman & D.J.C. van Dijk & P.H.B.F. Franses, 1999. "A multivariate STAR analysis of the relationship between money and output," Econometric Institute Report 170, Erasmus University Rotterdam, Econometric Institute. [Downloadable!]
    Other versions:
  16. Gianna Boero & Emanuela Marrocu, 2000. "La performance di modelli non lineari per i tassi di cambio: un'applicazione con dati a diversa frequenza," Working Paper CRENoS 200014, Centre for North South Economic Research, University of Cagliari and Sassari, Sardinia. [Downloadable!]
  17. Crespo-Cuaresma, Jesus, 2000. "Forecasting European GDP Using Self-Exciting Threshold Autoregressive Models. A Warning," Economics Series 79, Institute for Advanced Studies. [Downloadable!]
  18. David Peel & Ivan Paya & E Pavlidis, 2009. "Forecasting the Real Exchange Rate using a Long Span of Data. A Rematch: Linear vs Nonlinear," Working Papers 006075, Lancaster University Management School, Economics Department. [Downloadable!]
  19. Saikkonen, Pentti & Ripatti, Antti, 1999. "On the Estimation of Euler Equations in the Presence of a Potential Regime Shift," Research Discussion Papers 6/1999, Bank of Finland. [Downloadable!]
    Other versions:
  20. N Terui & HK van Dijk, 1999. "Combined forecasts from linear and nonlinear time series models," Econometric Institute Report 172, Erasmus University Rotterdam, Econometric Institute. [Downloadable!]
    Other versions:
Statistics
Access and download statistics

Did you know? A tutorial is available.

This page was last updated on 2009-11-7.


This information is provided to you by IDEAS at the Department of Economics, College of Liberal Arts and Sciences, University of Connecticut using RePEc data on a server sponsored by the Society for Economic Dynamics.