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Smooth Transition Autoregressive Models — A Survey Of Recent Developments

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  • Dick van Dijk
  • Timo Terasvirta
  • Philip Hans Franses

Abstract

This paper surveys recent developments related to the smooth transition autoregressive (STAR) time series model and several of its variants. We put emphasis on new methods for testing for STAR nonlinearity, model evaluation, and forecasting. Several useful extensions of the basic STAR model, which concern multiple regimes, time-varying non-linear properties, and models for vector time series, are also reviewed.

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File URL: http://www.tandfonline.com/doi/abs/10.1081/ETC-120008723
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Bibliographic Info

Article provided by Taylor & Francis Journals in its journal Econometric Reviews.

Volume (Year): 21 (2002)
Issue (Month): 1 ()
Pages: 1-47

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Handle: RePEc:taf:emetrv:v:21:y:2002:i:1:p:1-47

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Related research

Keywords: Regime-switching models; Time series model specification; Model evaluation; Forecasting; Impulse response analysis; JEL Classification: C22; C52; E24;

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References

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