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Kónya Bootstrap Panel Granger Causality×Grangerov kauzalitný test×
OdborEkonometriaEkonometria
RodinaHypothesis testRegression model
Rok vzniku20061969
TvorcaLászló KónyaClive W. J. Granger
TypNon-parametric bootstrap hypothesis testTime-series predictive causality test
Pôvodný zdrojKónya, L. (2006). Exports and growth: Granger causality analysis on OECD countries with a panel data approach. Economic Modelling, 23(6), 978–992. DOI ↗Granger, C. W. J. (1969). Investigating Causal Relations by Econometric Models and Cross-spectral Methods. Econometrica, 37(3), 424-438. DOI ↗
Ďalšie názvyBootstrap Panel Causality Test, Kónya Panel Granger Causality, SUR-Based Bootstrap Causality, Kónya Önyükleme Nedensellik TestiGranger causality test, Granger non-causality test, predictive causality test, Granger Nedensellik Testi
Príbuzné35
ZhrnutieIntroduced by László Kónya in 2006, this method tests Granger causality in heterogeneous panels by estimating a Seemingly Unrelated Regressions (SUR) system and deriving country-specific critical values through bootstrapping. Unlike pooled panel tests, it delivers a separate causality verdict for each cross-section, making it particularly valuable in applied macroeconomics and international economics when panel units are expected to behave differently.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.
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ScholarGatePorovnať metódy: Kónya Bootstrap Causality · Granger Causality. Získané 2026-06-17 z https://scholargate.app/sk/compare