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Ujian Kausaliti Granger×Model Pembetulan Ralat Vektor (VECM)×
BidangEkonometrikEkonometrik
KeluargaRegression modelRegression model
Tahun asal19691987
PengasasClive W. J. GrangerRobert F. Engle and Clive W. J. Granger
JenisCausality test (F-test on VAR)Multivariate time-series model
Sumber perintisGranger, C. W. J. (1969). Investigating Causal Relations by Econometric Models and Cross-spectral Methods. Econometrica, 37(3), 424–438. DOI ↗Engle, R. F., & Granger, C. W. J. (1987). Co-integration and error correction: Representation, estimation, and testing. Econometrica, 55(2), 251–276. DOI ↗
AliasGranger test, GC test, predictive causality test, Granger non-causality testVECM, error correction VAR, cointegrated VAR, vector equilibrium correction model
Berkaitan55
RingkasanThe Granger causality test is a statistical hypothesis test that determines whether past values of one time series help predict future values of another, beyond what that series' own past already explains. Introduced by Clive Granger in 1969, it is the standard approach for assessing predictive causality in VAR-based time-series analysis.The Vector Error Correction Model extends the Vector Autoregression (VAR) framework to a system of variables that share one or more long-run equilibrium relationships. It jointly models short-run dynamics and the speed at which each variable corrects back toward equilibrium after a shock, making it the standard tool for analysing cointegrated multivariate time series.
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ScholarGateBandingkan kaedah: Granger Causality Test · Vector Error Correction Model. Dicapai 2026-06-15 daripada https://scholargate.app/ms/compare