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傅里叶增广迪基-富勒单位根检验×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2006-20122016
提出者Becker, Enders, and Lee; Enders and LeeEnders & Jones (2016), extending Engle & Granger (1987)
类型Unit root test with smooth structural breaksCointegration test
开创性文献Becker, R., Enders, W., & Lee, J. (2006). A stationarity test in the presence of an unknown number of smooth breaks. Journal of Time Series Analysis, 27(3), 381-409. 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Fourier ADF test, FADF test, Flexible Fourier ADF, Fourier-based ADF unit root testFourier EG cointegration, Enders-Jones cointegration test, smooth structural break cointegration, FEGC test
相关65
摘要The Fourier ADF unit root test extends the standard Augmented Dickey-Fuller framework by incorporating low-frequency Fourier terms into the deterministic component. This allows the test to approximate smooth, gradual structural breaks in the level or trend of a time series without requiring prior knowledge of break number, timing, or form.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: Fourier ADF unit root test · Fourier Engle-Granger cointegration. 于 2026-06-19 检索自 https://scholargate.app/zh/compare