ScholarGate
Asistent

Uporedite metode

Pregledajte izabrane metode jednu pored druge; redovi koji se razlikuju su istaknuti.

Grangerov test kauzaliteta×Vektorski model korekcije greške (VECM)×
OblastEkonometrijaEkonometrija
PorodicaRegression modelRegression model
Godina nastanka19691987
TvoracClive W. J. GrangerRobert F. Engle and Clive W. J. Granger
TipCausality test (F-test on VAR)Multivariate time-series model
Temeljni izvorGranger, 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 ↗
Drugi naziviGranger test, GC test, predictive causality test, Granger non-causality testVECM, error correction VAR, cointegrated VAR, vector equilibrium correction model
Srodne55
SažetakThe 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.
ScholarGateSkup podataka
  1. v1
  2. 2 Izvori
  3. PUBLISHED
  1. v1
  2. 2 Izvori
  3. PUBLISHED

Idi na pretragu Preuzmi slajdove

ScholarGateUporedite metode: Granger Causality Test · Vector Error Correction Model. Preuzeto 2026-06-15 sa https://scholargate.app/sr/compare