ScholarGate
Asistent

Uporedite metode

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

Granger-ov test kauzaliteta×Test kointegracije (Johansen / Engle-Granger)×
OblastEkonometrijaEkonometrija
PorodicaRegression modelRegression model
Godina nastanka19691988
TvoracClive W. J. GrangerEngle & Granger (1987); Johansen (1988)
TipTime-series predictive causality testTime-series cointegration test
Temeljni izvorGranger, C. W. J. (1969). Investigating Causal Relations by Econometric Models and Cross-spectral Methods. Econometrica, 37(3), 424-438. DOI ↗Johansen, S. (1988). Statistical Analysis of Cointegration Vectors. Journal of Economic Dynamics and Control, 12(2-3), 231-254. DOI ↗
Drugi naziviGranger causality test, Granger non-causality test, predictive causality test, Granger Nedensellik TestiJohansen cointegration test, Engle-Granger cointegration test, long-run equilibrium test, Eşbütünleşme Testi (Johansen/Engle-Granger)
Srodne55
SažetakThe 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.The 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).
ScholarGateSkup podataka
  1. v1
  2. 1 Izvori
  3. PUBLISHED
  1. v1
  2. 2 Izvori
  3. PUBLISHED

Idi na pretragu Preuzmi slajdove

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