European Business Schools Librarian's Group
SSE/EFI Working Paper Series in Economics and Finance,
Stockholm School of Economics
No 593: Univariate nonlinear time series models
Timo Teräsvirta ()
Additional contact information
Timo Teräsvirta: Dept. of Economic Statistics, Stockholm School of Economics, Postal: Stockholm School of Economics, P.O. Box 6501, SE-113 83 Stockholm, Sweden
Abstract: In this paper developments in the analysis of univariate nonlinear time series are considered. First a number of commonly used nonlinear models are presented. The next section is devoted to methods of testing linearity, which is an important part of nonlinear model building. Techniques of modelling nonlinear series within a predetermined family of models are discussed thereafter. Forecasting with nonlinear models also has its own section. A brief set of final remarks closes the chapter.
Keywords: Hidden Markov model; linearity test; neural network; nonlinear model building; threshold autoregressive model; smooth transition autoregressive model
37 pages, March 29, 2005
Note: This paper has been prepared for Kerry Patterson and Terence C. Mills (eds.), Palgrave Handbook of Econometrics, Volume 1: Econometric Theory, Palgrave Macmillan.
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