Σύγκριση μεθόδων
Εξετάστε τις επιλεγμένες μεθόδους δίπλα-δίπλα· οι γραμμές που διαφέρουν επισημαίνονται.
| Δοκιμή Αιτιότητας Granger Πινάκων Dumitrescu-Hurlin× | Δοκιμή Αιτιότητας Granger× | |
|---|---|---|
| Πεδίο | Οικονομετρία | Οικονομετρία |
| Οικογένεια≠ | Hypothesis test | Regression model |
| Έτος προέλευσης≠ | 2012 | 1969 |
| Δημιουργός≠ | Elena-Ivona Dumitrescu & Christophe Hurlin | Clive W. J. Granger |
| Τύπος≠ | Non-causality test for heterogeneous panels | Time-series predictive causality test |
| Θεμελιώδης πηγή≠ | 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 ↗ |
| Εναλλακτικές ονομασίες | DH Causality Test, Panel Granger Causality Test (Heterogeneous), Dumitrescu-Hurlin Test, Heterojen Panel Nedensellik Testi | Granger causality test, Granger non-causality test, predictive causality test, Granger Nedensellik Testi |
| Συναφείς≠ | 3 | 5 |
| Σύνοψη≠ | 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. |
| ScholarGateΣύνολο δεδομένων ↗ |
|
|