ScholarGate
Asistent

Uporedite metode

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

Vektorski model korekcije greške (VECM)×Grangerov test kauzaliteta×
OblastEkonometrijaEkonometrija
PorodicaRegression modelRegression model
Godina nastanka19871969
TvoracRobert F. Engle and Clive W. J. GrangerClive W. J. Granger
TipMultivariate time-series modelCausality test (F-test on VAR)
Temeljni izvorEngle, R. F., & Granger, C. W. J. (1987). Co-integration and error correction: Representation, estimation, and testing. Econometrica, 55(2), 251–276. DOI ↗Granger, C. W. J. (1969). Investigating Causal Relations by Econometric Models and Cross-spectral Methods. Econometrica, 37(3), 424–438. DOI ↗
Drugi naziviVECM, error correction VAR, cointegrated VAR, vector equilibrium correction modelGranger test, GC test, predictive causality test, Granger non-causality test
Srodne55
SažetakThe 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.The 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.
ScholarGateSkup podataka
  1. v1
  2. 2 Izvori
  3. PUBLISHED
  1. v1
  2. 2 Izvori
  3. PUBLISHED

Idi na pretragu Preuzmi slajdove

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