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稳健Engle-Granger协整检验×傅里叶恩格尔-格兰杰协整检验×
领域计量经济学计量经济学
方法族Regression modelRegression model
起源年份1987 (base); robust variants 2000s–2020s2016
提出者Engle & Granger (1987); robust extensions by subsequent authors including Hao & Shaffer and othersEnders & Jones (2016), extending Engle & Granger (1987)
类型Cointegration testCointegration test
开创性文献Engle, 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 ↗
别名robust 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
相关55
摘要The 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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ScholarGate方法对比: Robust Engle-Granger Cointegration · Fourier Engle-Granger cointegration. 于 2026-06-19 检索自 https://scholargate.app/zh/compare