เปรียบเทียบวิธี

	Kónya Bootstrap Panel Granger Causality	การทดสอบ Pesaran CD: การวินิจฉัยความเป็นอิสระของภาคตัดขวางสำหรับข้อมูลพาเนล
สาขาวิชา	เศรษฐมิติ	เศรษฐมิติ
ตระกูล	Hypothesis test	Hypothesis test
ปีกำเนิด	2006	2021
ผู้ริเริ่ม	László Kónya	M. Hashem Pesaran
ประเภท	Non-parametric bootstrap hypothesis test	Non-parametric diagnostic test
แหล่งต้นตำรับ	Kónya, L. (2006). Exports and growth: Granger causality analysis on OECD countries with a panel data approach. Economic Modelling, 23(6), 978–992.	Pesaran, M. H. (2021). General diagnostic tests for cross-sectional dependence in panels. Empirical Economics, 60(1), 13–50.
ชื่อเรียกอื่น	Bootstrap Panel Causality Test, Kónya Panel Granger Causality, SUR-Based Bootstrap Causality, Kónya Önyükleme Nedensellik Testi	CD Test, Cross-Sectional Dependence Test, Pesaran General CD Test, Kesitsel Bağımlılık Testi
ที่เกี่ยวข้อง	3	3
สรุป	Introduced 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 Pesaran CD test is a general diagnostic procedure for detecting cross-sectional dependence in panel data models. Developed by M. Hashem Pesaran (2021), it is applicable to both balanced and unbalanced panels with large N and T, and retains validity under heterogeneous slope coefficients. The test is widely adopted in empirical economics, finance, and political economy as a prerequisite check before selecting appropriate estimators or unit-root tests for panel datasets.