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Fourier Engle-Granger -yhteistestaus×Engle-Grangerin kahden askeleen testi×
TieteenalaEkonometriaEkonometria
MenetelmäperheRegression modelRegression model
Syntyvuosi20161987
KehittäjäEnders & Jones (2016), extending Engle & Granger (1987)Robert F. Engle and Clive W. J. Granger
TyyppiCointegration testCointegration test
AlkuperäislähdeEnders, 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 ↗
RinnakkaisnimetFourier EG cointegration, Enders-Jones cointegration test, smooth structural break cointegration, FEGC testEG cointegration test, Engle-Granger two-step method, residual-based cointegration test, EG test
Liittyvät55
TiivistelmäThe 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 Engle-Granger two-step method tests whether two or more non-stationary I(1) time series share a common stochastic trend — that is, whether a linear combination of them is stationary. If cointegration is confirmed, an error-correction model (ECM) can be estimated to capture both short-run dynamics and long-run equilibrium adjustment.
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ScholarGateVertaile menetelmiä: Fourier Engle-Granger cointegration · Engle-Granger Cointegration Test. Haettu 2026-06-19 osoitteesta https://scholargate.app/fi/compare