Regression model
Smooth Transition Autoregressive (STAR) Model
The Smooth Transition Autoregressive (STAR) model is a nonlinear time-series model, developed in Teräsvirta's 1994 framework, that lets the dynamics move smoothly rather than abruptly between two regimes. The logistic variant (LSTAR) captures asymmetric business cycles and the exponential variant (ESTAR) captures purchasing-power-parity deviations.
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Sources
- Teräsvirta, T. (1994). Specification, Estimation, and Evaluation of Smooth Transition Autoregressive Models. Journal of the American Statistical Association, 89(425), 208–218. DOI: 10.1080/01621459.1994.10476462 ↗
- van Dijk, D., Teräsvirta, T. & Franses, P.H. (2002). Smooth Transition Autoregressive Models — A Survey of Recent Developments. Econometric Reviews, 21(1), 1–47. DOI: 10.1081/ETC-120008723 ↗