विधियों की तुलना करें
चुनी हुई विधियों की आमने-सामने समीक्षा करें; भिन्नता वाली पंक्तियाँ रेखांकित हैं।
| डुमिट्रेस्कु-हर्लिन पैनल ग्रेंजर कार्य-कारण परीक्षण× | पेसारन सीडी टेस्ट: पैनल डेटा के लिए क्रॉस-सेक्शनल डिपेंडेंस डायग्नोस्टिक× | |
|---|---|---|
| क्षेत्र | अर्थमिति | अर्थमिति |
| परिवार | Hypothesis test | Hypothesis test |
| उद्भव वर्ष≠ | 2012 | 2021 |
| प्रवर्तक≠ | Elena-Ivona Dumitrescu & Christophe Hurlin | M. Hashem Pesaran |
| प्रकार≠ | Non-causality test for heterogeneous panels | Non-parametric diagnostic test |
| मौलिक स्रोत≠ | Dumitrescu, E.-I., & Hurlin, C. (2012). Testing for Granger non-causality in heterogeneous panels. Economic Modelling, 29(4), 1450–1460. DOI ↗ | Pesaran, M. H. (2021). General diagnostic tests for cross-sectional dependence in panels. Empirical Economics, 60(1), 13–50. DOI ↗ |
| उपनाम | DH Causality Test, Panel Granger Causality Test (Heterogeneous), Dumitrescu-Hurlin Test, Heterojen Panel Nedensellik Testi | CD Test, Cross-Sectional Dependence Test, Pesaran General CD Test, Kesitsel Bağımlılık Testi |
| संबंधित | 3 | 3 |
| सारांश≠ | 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 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. |
| ScholarGateडेटासेट ↗ |
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