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Time-Varying Smooth Transition Autoregressive Models

Stefan Lundbergh, Timo Teräsvirta () and Dick van Dijk ()

Journal of Business & Economic Statistics, 2003, vol. 21, issue 1, 104-21

Abstract: Nonlinear regime-switching behavior and structural change are often perceived as competing alternatives to linearity. In this article we study the so-called time-varying smooth transition autoregressive (TV-STAR) model, which 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. Monte Carlo simulations show that neither of the two strategies dominates the other. A specific-to-general-to-specific procedure is best suited for obtaining a first impression of the importance of nonlinearity and/or structural change for a particular time series. A specific-to-general procedure is most useful in careful specification of a model with nonlinear and/or time-varying properties. An empirical application to a large dataset of U.S. macroeconomic time series illustrates the relative merits of both modeling strategies.

Date: 2003
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Working Paper: Time-Varying Smooth Transition Autoregressive Models (2000)
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Handle: RePEc:bes:jnlbes:v:21:y:2003:i:1:p:104-21