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Fourier Granger kauzalitetni test×Vektorska autoregresija (VAR)×
PodručjeEkonometrijaEkonometrija
ObiteljRegression modelRegression model
Godina nastanka20161980
TvoracEnders and JonesChristopher A. Sims
VrstaCausality testMultivariate 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 ↗Sims, C. A. (1980). Macroeconomics and Reality. Econometrica, 48(1), 1–48. DOI ↗
Drugi naziviFourier Granger causality test, Enders-Jones Granger causality, smooth structural break Granger test, spectral Granger causalityVAR, VAR model, vector autoregressive model, multivariate autoregression
Srodne65
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.Vector Autoregression is a multivariate time-series model in which each variable is regressed on its own lags and the lags of all other variables in the system. Originally proposed by Sims (1980) as a data-driven alternative to large structural macroeconomic models, VAR has become the standard workhorse for dynamic analysis in empirical economics and finance.
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ScholarGateUsporedite metode: Fourier Granger Causality · Vector Autoregression. Preuzeto 2026-06-18 s https://scholargate.app/hr/compare