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Grangerov kauzalitný test×Vektorová autoregresia (VAR)×
OdborEkonometriaEkonometria
RodinaRegression modelRegression model
Rok vzniku19691980
TvorcaClive W. J. GrangerChristopher A. Sims
TypTime-series predictive causality testMultivariate time-series model
Pôvodný zdrojGranger, C. W. J. (1969). Investigating Causal Relations by Econometric Models and Cross-spectral Methods. Econometrica, 37(3), 424-438. DOI ↗Sims, C. A. (1980). Macroeconomics and Reality. Econometrica, 48(1), 1–48. DOI ↗
Ďalšie názvyGranger causality test, Granger non-causality test, predictive causality test, Granger Nedensellik TestiVAR, VAR model, vector autoregressive model, multivariate autoregression
Príbuzné55
ZhrnutieThe 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.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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ScholarGatePorovnať metódy: Granger Causality · Vector Autoregression. Získané 2026-06-19 z https://scholargate.app/sk/compare