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Testi i Kauzalitetit Granger sipas Fourier Toda-Yamamoto×Granger Causality×
FushaEkonometriEkonometri
FamiljaRegression modelRegression model
Viti i origjinës20191969
KrijuesiYilanci, Ozgur (building on Toda and Yamamoto 1995; Becker, Enders, and Hurn 2004)Clive W. J. Granger
LlojiGranger causality testTime-series predictive causality test
Burimi themeluesYilanci, V., & Ozgur, O. (2019). Testing the Fourier Toda-Yamamoto causality test with an application to energy demand. Energy Economics, 84, 104498. link ↗Granger, C. W. J. (1969). Investigating Causal Relations by Econometric Models and Cross-spectral Methods. Econometrica, 37(3), 424-438. DOI ↗
Emërtime të tjeraFTY causality, Fourier TY causality, Toda-Yamamoto causality with Fourier approximation, FTY Granger causalityGranger causality test, Granger non-causality test, predictive causality test, Granger Nedensellik Testi
Të lidhura35
PërmbledhjaThe Fourier Toda-Yamamoto (FTY) causality test extends the classical Toda-Yamamoto procedure by embedding Fourier trigonometric terms in the augmented VAR to capture smooth, gradual structural breaks in the deterministic component. It retains the key advantage of the Toda-Yamamoto approach — Granger causality can be tested without pre-testing for integration or cointegration order — while dramatically improving size and power when breaks occur.The Granger causality test, introduced by Clive W. J. Granger in 1969, assesses whether the past values of one time series help predict another beyond what the latter's own past already explains. It defines causality in a strictly predictive sense rather than as a structural or physical cause.
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ScholarGateKrahasoni metodat: Fourier Toda-Yamamoto Causality · Granger Causality. Marrë më 2026-06-19 nga https://scholargate.app/sq/compare