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Fourierův Engle-Grangerův kointegrační test×Vektorový model s korekcí chyby (VECM)×
OborEkonometrieEkonometrie
RodinaRegression modelRegression model
Rok vzniku20161987
TvůrceEnders & Jones (2016), extending Engle & Granger (1987)Robert F. Engle and Clive W. J. Granger
TypCointegration testMultivariate time-series model
Původní zdrojEnders, W., & Jones, P. (2016). Grain prices, oil prices, and multiple smooth breaks in a VAR. Studies in Nonlinear Dynamics and Econometrics, 20(4), 399–419. DOI ↗Engle, R. F., & Granger, C. W. J. (1987). Co-integration and error correction: Representation, estimation, and testing. Econometrica, 55(2), 251–276. DOI ↗
Další názvyFourier EG cointegration, Enders-Jones cointegration test, smooth structural break cointegration, FEGC testVECM, error correction VAR, cointegrated VAR, vector equilibrium correction model
Příbuzné55
ShrnutíThe Fourier Engle-Granger cointegration test extends the classic two-step Engle-Granger procedure by embedding low-frequency trigonometric (Fourier) terms in the cointegrating regression. This accommodates an unknown number of smooth structural breaks in the deterministic components without specifying their dates, producing a more powerful test when long-run relationships 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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ScholarGatePorovnat metody: Fourier Engle-Granger cointegration · Vector Error Correction Model. Získáno 2026-06-17 z https://scholargate.app/cs/compare