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Forijeov AR model×Model korekcije greške vektora po Fourijevoj transformaciji (Fourier VECM)×
OblastEkonometrijaEkonometrija
PorodicaRegression modelRegression model
Godina nastanka20122004–2012
TvoracEnders & LeeEnders & Lee (2004/2012); extended to VECM by subsequent authors
TipTime series model with Fourier augmentationError-correction model with Fourier terms
Temeljni izvorEnders, W., & Lee, J. (2012). A unit root test using a Fourier series to approximate smooth breaks. Oxford Bulletin of Economics and Statistics, 74(4), 574–599. DOI ↗Enders, W., & Lee, J. (2012). A Unit Root Test Using a Fourier Series to Approximate Smooth Breaks. Oxford Bulletin of Economics and Statistics, 74(4), 574–599. DOI ↗
Drugi naziviFourier AR, trigonometric AR model, smooth transition AR with Fourier terms, FAR modelFourier VECM, Fourier-approximation VECM, smooth-break VECM, trigonometric VECM
Srodne65
SažetakThe Fourier AR model extends the standard autoregressive specification by adding trigonometric (sine and cosine) terms to the deterministic component. This allows the model to capture smooth, gradual shifts in the mean or trend of a time series without requiring the researcher to locate or count structural break points explicitly.The Fourier VECM augments the classical vector error correction model with low-frequency trigonometric terms — sine and cosine components — to capture smooth, gradual structural change in cointegrating relationships without specifying the number or timing of breaks in advance. It is used for multivariate cointegrated systems where long-run equilibria may shift gradually over time.
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ScholarGateUporedite metode: Fourier AR Model · Fourier VECM. Preuzeto 2026-06-18 sa https://scholargate.app/sr/compare