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آزمون علیت گرنجر پنل کونیا-بوت استرپ×آزمون علیت گرنجر×
حوزهاقتصادسنجیاقتصادسنجی
خانوادهHypothesis testRegression model
سال پیدایش20061969
پدیدآورLászló KónyaClive W. J. Granger
نوعNon-parametric bootstrap hypothesis testTime-series predictive causality test
منبع بنیادینKónya, 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 ↗
نام‌های دیگرBootstrap 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
مرتبط35
خلاصهIntroduced 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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ScholarGateمقایسهٔ روش‌ها: Kónya Bootstrap Causality · Granger Causality. بازیابی‌شده در 2026-06-17 از https://scholargate.app/fa/compare