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Uji Kausalitas Granger Fourier×Uji Akar Unit Fourier ADF×
BidangEkonometrikaEkonometrika
KeluargaRegression modelRegression model
Tahun asal20162006-2012
PencetusEnders and JonesBecker, Enders, and Lee; Enders and Lee
TipeCausality testUnit root test with smooth structural breaks
Sumber perintisEnders, 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 ↗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 ↗
AliasFourier Granger causality test, Enders-Jones Granger causality, smooth structural break Granger test, spectral Granger causalityFourier ADF test, FADF test, Flexible Fourier ADF, Fourier-based ADF unit root test
Terkait66
RingkasanThe Fourier Granger causality test extends the classic Granger causality framework by embedding low-frequency Fourier terms in the VAR equation, allowing the causal relationship to shift gradually over time without requiring the researcher to pre-specify the number or location of structural breaks.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.
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  1. v1
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ScholarGateBandingkan metode: Fourier Granger Causality · Fourier ADF unit root test. Diakses 2026-06-18 dari https://scholargate.app/id/compare