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Granger-causaliteitstest×Vector Error Correction Model (VECM)×
VakgebiedEconometrieEconometrie
FamilieRegression modelRegression model
Jaar van ontstaan19691987
GrondleggerClive W. J. GrangerEngle & Granger
TypeTime-series predictive causality testMultivariate time-series model
Oorspronkelijke bronGranger, 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 ↗
AliassenGranger causality test, Granger non-causality test, predictive causality test, Granger Nedensellik Testivector error correction model, error correction model, cointegration model, VECM (Vektör Hata Düzeltme Modeli)
Verwant54
SamenvattingThe 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 Vector Error Correction Model is a multivariate time-series model for cointegrated series that captures both their short-run dynamics and their long-run equilibrium relationship. It was introduced by Engle and Granger in 1987 as part of the cointegration and error-correction framework.
ScholarGateGegevensset
  1. v1
  2. 1 Bronnen
  3. PUBLISHED
  1. v1
  2. 1 Bronnen
  3. PUBLISHED

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ScholarGateMethoden vergelijken: Granger Causality · VECM. Geraadpleegd op 2026-06-17 via https://scholargate.app/nl/compare