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Fourierov vektorový korekčný model chýb (Fourier VECM)×Model Fúriérovho VAR×
OdborEkonometriaEkonometria
RodinaRegression modelRegression model
Rok vzniku2004–20122010s
TvorcaEnders & Lee (2004/2012); extended to VECM by subsequent authorsEnders & Lee; extended by Nazlioglu and others to VAR systems
TypError-correction model with Fourier termsMultivariate time-series model
Pôvodný zdrojEnders, 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 ↗
Ďalšie názvyFourier VECM, Fourier-approximation VECM, smooth-break VECM, trigonometric VECMFourier VAR, smooth structural break VAR, trigonometric VAR, Fourier-augmented VAR
Príbuzné56
ZhrnutieThe 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.The Fourier VAR model extends the standard Vector Autoregression by replacing fixed deterministic terms with Fourier trigonometric components, allowing the intercept (and optionally the trend) to shift gradually and smoothly over time. This eliminates the need to pre-specify the number, timing, or shape of structural breaks in a multivariate time-series system.
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ScholarGatePorovnať metódy: Fourier VECM · Fourier VAR model. Získané 2026-06-19 z https://scholargate.app/sk/compare