手法を比較
選択した手法を並べて確認できます。異なる行はハイライト表示されます。
| 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× | パネルデータ固定効果モデル× | |
|---|---|---|
| 分野 | 計量経済学 | 計量経済学 |
| 系統≠ | Hypothesis test | Regression model |
| 提唱年≠ | 2012 | 2014 |
| 提唱者≠ | Elena-Ivona Dumitrescu & Christophe Hurlin | Hsiao (textbook treatment); within transformation of panel data |
| 種類≠ | Non-causality test for heterogeneous panels | Panel data regression |
| 原典≠ | Dumitrescu, E.-I., & Hurlin, C. (2012). Testing for Granger non-causality in heterogeneous panels. Economic Modelling, 29(4), 1450–1460. DOI ↗ | Hsiao, C. (2014). Analysis of Panel Data (3rd ed.). Cambridge University Press. DOI ↗ |
| 別名 | DH Causality Test, Panel Granger Causality Test (Heterogeneous), Dumitrescu-Hurlin Test, Heterojen Panel Nedensellik Testi | fixed effects model, within estimator, panel fixed-effects regression, Panel Veri — Sabit Etkiler Modeli |
| 関連≠ | 3 | 5 |
| 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 Panel Data Fixed Effects model estimates relationships from panel data (the same units observed over several time periods) while controlling for unit- and/or time-specific effects, supporting causal inference. It is developed as the within estimator in standard treatments such as Hsiao's Analysis of Panel Data (2014). |
| ScholarGateデータセット ↗ |
|
|