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Time-Varying Smooth Transition Autoregressive Models

Author

Listed:
  • Lundbergh, Stefan

    (Dept. of Economic Statistics, Stockholm School of Economics)

  • Teräsvirta, Timo

    (Dept. of Economic Statistics, Stockholm School of Economics)

  • van Dijk, Dick

    (Econometric Institute, Erasmus University Rotterdam)

Abstract

Nonlinearity, and regime-switching behavior in particular, and structural change have often been perceived as competing alternatives to linearity. In this paper we propose a model, based on the principle of smooth transition, that allows for regime-switching behavior in conjunction with time-varying parameters. This Time-Varying Smooth Transition Autoregressive [TV-STAR] model can be used both for describing simultaneous nonlinearity and structural change and for distinguishing between these features. Two modeling strategies for empirical specification of TV-STAR models are developed and tested by Monte Carlo simulation. The simulations show that neither of the two strategies dominates the other. The relative merits of each of the specification procedures are illustrated with empirical applications. The specific-to-general-to-specific procedure is best suited for obtaining a quick impression of the importance of nonlinearity and/or structural change for a particular time series. This is illustrated by an application to a large number of US macroeconomic time series. The specific-to-general procedure is most useful in careful specification of a model with nonlinear and/or time-varying properties. This is demonstrated by a worked example involving the US help-wanted advertising index.

Suggested Citation

  • Lundbergh, Stefan & Teräsvirta, Timo & van Dijk, Dick, 2000. "Time-Varying Smooth Transition Autoregressive Models," SSE/EFI Working Paper Series in Economics and Finance 376, Stockholm School of Economics.
    • Handle: RePEc:hhs:hastef:0376
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    Keywords

    Nonlinearity; structural change; time series model specification;
    All these keywords.

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection

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