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Furierov test uzročnosti po Grendžeru×Granger kauzalnost sa strukturnim lomovima×
OblastEkonometrijaEkonometrija
PorodicaRegression modelRegression model
Godina nastanka20161995-2010
TvoracEnders and JonesGranger (1969) causality framework extended by Toda & Yamamoto (1995) and Balcilar et al. (2010)
TipCausality testHypothesis test / time-series model
Temeljni izvorEnders, 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 ↗Toda, H. Y., & Yamamoto, T. (1995). Statistical inference in vector autoregressions with possibly integrated processes. Journal of Econometrics, 66(1-2), 225-250. DOI ↗
Drugi naziviFourier Granger causality test, Enders-Jones Granger causality, smooth structural break Granger test, spectral Granger causalitybreak-robust Granger causality, Granger causality under regime change, time-varying Granger causality, structural change Granger test
Srodne63
SažetakThe 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.Structural break Granger causality extends the classic Granger causality framework to accommodate regime shifts and parameter instability in time series. By detecting break points and testing causality within sub-samples or via rolling/recursive windows, it reveals whether a predictive relationship between variables switches on, switches off, or changes direction over time.
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ScholarGateUporedite metode: Fourier Granger Causality · Structural Break Granger Causality. Preuzeto 2026-06-17 sa https://scholargate.app/sr/compare