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Ανθεκτικός έλεγχος συσχέτισης κατά Engle-Granger×Δοκιμή Συνολοκλήρωσης Fourier Engle-Granger×
ΠεδίοΟικονομετρίαΟικονομετρία
ΟικογένειαRegression modelRegression model
Έτος προέλευσης1987 (base); robust variants 2000s–2020s2016
ΔημιουργόςEngle & Granger (1987); robust extensions by subsequent authors including Hao & Shaffer and othersEnders & Jones (2016), extending Engle & Granger (1987)
ΤύποςCointegration testCointegration test
Θεμελιώδης πηγήEngle, R. F., & Granger, C. W. J. (1987). Co-integration and error correction: Representation, estimation, and testing. Econometrica, 55(2), 251–276. DOI ↗Enders, 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 ↗
Εναλλακτικές ονομασίεςrobust EG cointegration, outlier-robust cointegration test, robust two-step cointegration, robust EG testFourier EG cointegration, Enders-Jones cointegration test, smooth structural break cointegration, FEGC test
Συναφείς55
ΣύνοψηThe Robust Engle-Granger cointegration test adapts the classic two-step Engle-Granger procedure to withstand outliers, heavy-tailed error distributions, and additive noise that can severely distort standard residual-based cointegration inference. By substituting robust regression and robust unit-root testing for classical OLS and ADF steps, it yields reliable conclusions about long-run equilibrium relationships even when the data contain anomalous observations.The 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.
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ScholarGateΣύγκριση μεθόδων: Robust Engle-Granger Cointegration · Fourier Engle-Granger cointegration. Ανακτήθηκε στις 2026-06-19 από https://scholargate.app/el/compare