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Model Autoregresif Peralihan Licin (STAR)×Vector Autoregresi Panel (Panel VAR)×
BidangEkonometrikEkonometrik
KeluargaRegression modelRegression model
Tahun asal19941988
PengasasTeräsvirta (1994); van Dijk, Teräsvirta & Franses (2002)Holtz-Eakin, Newey & Rosen
JenisNonlinear time-series regime-switching modelPanel vector autoregression
Sumber perintisTeräsvirta, T. (1994). Specification, Estimation, and Evaluation of Smooth Transition Autoregressive Models. Journal of the American Statistical Association, 89(425), 208–218. DOI ↗Holtz-Eakin, D., Newey, W. & Rosen, H. S. (1988). Estimating Vector Autoregressions with Panel Data. Econometrica, 56(6), 1371-1395. DOI ↗
Aliassmooth transition autoregressive model, LSTAR, ESTAR, logistic STARPVAR, panel vector autoregression, Panel VAR (PVAR)
Berkaitan43
RingkasanThe 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.Panel VAR extends the vector autoregression model to panel data, modelling the dynamic interactions among several variables while controlling for cross-unit heterogeneity through fixed effects. It was introduced by Holtz-Eakin, Newey and Rosen in 1988 and produces impulse-response functions and variance decompositions at the panel level.
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ScholarGateBandingkan kaedah: STAR Model · Panel VAR. Dicapai 2026-06-17 daripada https://scholargate.app/ms/compare