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Fourierov vektorový korekčný model chýb (Fourier VECM)×Vektorový model korekcie chýb (VECM)×
OdborEkonometriaEkonometria
RodinaRegression modelRegression model
Rok vzniku2004–20121987
TvorcaEnders & Lee (2004/2012); extended to VECM by subsequent authorsRobert F. Engle and Clive W. J. Granger
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 ↗Engle, R. F., & Granger, C. W. J. (1987). Co-integration and error correction: Representation, estimation, and testing. Econometrica, 55(2), 251–276. DOI ↗
Ďalšie názvyFourier VECM, Fourier-approximation VECM, smooth-break VECM, trigonometric VECMVECM, error correction VAR, cointegrated VAR, vector equilibrium correction model
Príbuzné55
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 Vector Error Correction Model extends the Vector Autoregression (VAR) framework to a system of variables that share one or more long-run equilibrium relationships. It jointly models short-run dynamics and the speed at which each variable corrects back toward equilibrium after a shock, making it the standard tool for analysing cointegrated multivariate time series.
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ScholarGatePorovnať metódy: Fourier VECM · Vector Error Correction Model. Získané 2026-06-17 z https://scholargate.app/sk/compare