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STAR Model/Evidence
Method evidence record

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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Smooth Transition Autoregressive Model
Taxonomic method record · regression-model / econometrics
  • 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
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Related methods

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Same method familyARFIMA Modelmachine-suggested · Relational suggestion, not evidence.Same method familyOLS Regressionmachine-suggested · Relational suggestion, not evidence.Same method familyPanel VARmachine-suggested · Relational suggestion, not evidence.Same method familyQuantile Regressionmachine-suggested · Relational suggestion, not evidence.

Evidence status

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Bibliographic sources are present. Claim-level evidence review has not been performed.

Sources

2 recorded citations, copied from the method source record.

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