ScholarGate
Asistent

Uporedite metode

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

Grangerov test kauzaliteta×Vektorska autoregresija (VAR)×
OblastEkonometrijaEkonometrija
PorodicaRegression modelRegression model
Godina nastanka19691980
TvoracClive W. J. GrangerChristopher A. Sims
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 ↗Sims, C. A. (1980). Macroeconomics and Reality. Econometrica, 48(1), 1–48. DOI ↗
Drugi naziviGranger test, GC test, predictive causality test, Granger non-causality testVAR, VAR model, vector autoregressive model, multivariate autoregression
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.Vector Autoregression is a multivariate time-series model in which each variable is regressed on its own lags and the lags of all other variables in the system. Originally proposed by Sims (1980) as a data-driven alternative to large structural macroeconomic models, VAR has become the standard workhorse for dynamic analysis in empirical economics and finance.
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 Autoregression. Preuzeto 2026-06-17 sa https://scholargate.app/sr/compare