ScholarGate
Asistent

Usporedite metode

Pregledajte odabrane metode jednu uz drugu; retci koji se razlikuju su istaknuti.

Kointegracijski test (Johansen / Engle-Granger)×Grangerov test uzročnosti×
PodručjeEkonometrijaEkonometrija
ObiteljRegression modelRegression model
Godina nastanka19881969
TvoracEngle & Granger (1987); Johansen (1988)Clive W. J. Granger
VrstaTime-series cointegration testTime-series predictive causality test
Temeljni izvorJohansen, S. (1988). Statistical Analysis of Cointegration Vectors. Journal of Economic Dynamics and Control, 12(2-3), 231-254. DOI ↗Granger, C. W. J. (1969). Investigating Causal Relations by Econometric Models and Cross-spectral Methods. Econometrica, 37(3), 424-438. DOI ↗
Drugi naziviJohansen cointegration test, Engle-Granger cointegration test, long-run equilibrium test, Eşbütünleşme Testi (Johansen/Engle-Granger)Granger causality test, Granger non-causality test, predictive causality test, Granger Nedensellik Testi
Srodne55
SažetakThe cointegration test examines whether non-stationary time series that each contain a unit root share a stable long-run equilibrium relationship. The single-equation residual approach was introduced by Engle and Granger (1987) and the system-based rank approach by Johansen (1988).The 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.
ScholarGateSkup podataka
  1. v1
  2. 2 Izvori
  3. PUBLISHED
  1. v1
  2. 1 Izvori
  3. PUBLISHED

Idi na pretraživanje Preuzmi prezentaciju

ScholarGateUsporedite metode: Cointegration Test · Granger Causality. Preuzeto 2026-06-17 s https://scholargate.app/hr/compare