Regression modelEconometrics / time series

Granger Causality Test

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.

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Sources

  1. Granger, C. W. J. (1969). Investigating Causal Relations by Econometric Models and Cross-spectral Methods. Econometrica, 37(3), 424–438. DOI: 10.2307/1912791
  2. Hamilton, J. D. (1994). Time Series Analysis. Princeton University Press. ISBN: 978-0691042893

Related methods

Referenced by

ScholarGateGranger Causality Test (Granger Causality Test). Retrieved 2026-06-04 from https://scholargate.app/tr/econometrics/granger-causality-test