Regression modelEconometrics / time series

Grangerov test kauzaliteta Furijea Toda-Jamamotoa

Grangerov test kauzaliteta Furijea Toda-Jamamotoa (FTJ) proširuje klasičnu proceduru Toda-Jamamotoa ugrađivanjem Furijeovih trigonometrijskih članova u prošireni VAR kako bi se uhvatile glatke, postepene strukturne promene u determinističkoj komponenti. On zadržava ključnu prednost pristupa Toda-Jamamotoa — Grangerov kauzalitet se može testirati bez prethodnog testiranja reda integracije ili ko-integracije — dok dramatično poboljšava veličinu i snagu kada se promene dese.

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Izvori

  1. Yilanci, V., & Ozgur, O. (2019). Testing the Fourier Toda-Yamamoto causality test with an application to energy demand. Energy Economics, 84, 104498. link
  2. Toda, H. Y., & Yamamoto, T. (1995). Statistical inference in vector autoregressions with possibly integrated processes. Journal of Econometrics, 66(1-2), 225-250. DOI: 10.1016/0304-4076(94)01616-8

Kako citirati ovu stranicu

ScholarGate. (2026, June 3). Fourier Toda-Yamamoto Granger Causality Test. ScholarGate. https://scholargate.app/sr/econometrics/fourier-toda-yamamoto-causality

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ScholarGateFourier Toda-Yamamoto Causality (Fourier Toda-Yamamoto Granger Causality Test). Preuzeto 2026-06-15 sa https://scholargate.app/sr/econometrics/fourier-toda-yamamoto-causality · Skup podataka: https://doi.org/10.5281/zenodo.20539026