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デュミトレスク・フルリンパネルグレンジャー因果性検定×Granger因果性検定×
分野計量経済学計量経済学
系統Hypothesis testRegression model
提唱年20121969
提唱者Elena-Ivona Dumitrescu & Christophe HurlinClive W. J. Granger
種類Non-causality test for heterogeneous panelsTime-series predictive causality test
原典Dumitrescu, E.-I., & Hurlin, C. (2012). Testing for Granger non-causality in heterogeneous panels. Economic Modelling, 29(4), 1450–1460. DOI ↗Granger, C. W. J. (1969). Investigating Causal Relations by Econometric Models and Cross-spectral Methods. Econometrica, 37(3), 424-438. DOI ↗
別名DH Causality Test, Panel Granger Causality Test (Heterogeneous), Dumitrescu-Hurlin Test, Heterojen Panel Nedensellik TestiGranger causality test, Granger non-causality test, predictive causality test, Granger Nedensellik Testi
関連35
概要The Dumitrescu-Hurlin (DH) test, introduced by Elena-Ivona Dumitrescu and Christophe Hurlin in their 2012 Economic Modelling article, tests for Granger non-causality in heterogeneous panel datasets. Unlike standard panel causality approaches, it permits each cross-sectional unit to have its own distinct causal relationship, making it well-suited for macro-panels of countries, firms, or regions where homogeneity cannot be assumed.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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ScholarGate手法を比較: Dumitrescu-Hurlin Causality · Granger Causality. 2026-06-18に以下より取得 https://scholargate.app/ja/compare