Σύγκριση μεθόδων

	Ανθεκτικός Έλεγχος Αιτιότητας κατά Granger	Δοκιμή Αιτιότητας Granger
Πεδίο	Οικονομετρία	Οικονομετρία
Οικογένεια	Regression model	Regression model
Έτος προέλευσης	2006 (robust variant); 1969 (original Granger)	1969
Δημιουργός	Hacker & Hatemi-J (robust bootstrap variant); Granger (original causality concept)	Clive W. J. Granger
Τύπος	Hypothesis test	Time-series predictive causality test
Θεμελιώδης πηγή	Hacker, R. S., & Hatemi-J, A. (2006). Tests for causality between integrated variables using asymptotic and bootstrap distributions: Theory and application. Applied Economics, 38(13), 1489–1500.	Granger, C. W. J. (1969). Investigating Causal Relations by Econometric Models and Cross-spectral Methods. Econometrica, 37(3), 424-438.
Εναλλακτικές ονομασίες	bootstrap Granger causality, heteroscedasticity-robust Granger causality, non-asymptotic Granger causality test, RGC	Granger causality test, Granger non-causality test, predictive causality test, Granger Nedensellik Testi
Συναφείς	4	5
Σύνοψη	Robust Granger causality extends the classic Granger causality framework by using bootstrap-based or heteroscedasticity-robust critical values rather than asymptotic chi-squared tables. This makes the test reliable in finite samples and when the data exhibit non-normality, heteroscedasticity, or near-integration, settings where the standard F- or Wald-based test is known to over-reject.	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.