विधियों की तुलना करें
चुनी हुई विधियों की आमने-सामने समीक्षा करें; भिन्नता वाली पंक्तियाँ रेखांकित हैं।
| पैनल ग्रेंजर कारणता परीक्षण× | ग्रेंजर कारणता परीक्षण (Granger Causality Test)× | |
|---|---|---|
| क्षेत्र | अर्थमिति | अर्थमिति |
| परिवार | Regression model | Regression model |
| उद्भव वर्ष≠ | 1988–2012 | 1969 |
| प्रवर्तक≠ | Holtz-Eakin, Newey & Rosen (1988); Dumitrescu & Hurlin (2012) | Clive W. J. Granger |
| प्रकार≠ | Causality test | Causality test (F-test on VAR) |
| मौलिक स्रोत≠ | 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 ↗ |
| उपनाम | panel causality test, Dumitrescu-Hurlin test, heterogeneous panel causality, panel Granger test | Granger test, GC test, predictive causality test, Granger non-causality test |
| संबंधित | 5 | 5 |
| सारांश≠ | The Panel Granger Causality test examines whether past values of one variable help predict another variable across multiple cross-sectional units observed over time. It extends the classical Granger causality framework to panel data, accounting for cross-sectional heterogeneity and enabling more powerful inference by pooling information across units. | The Granger causality test is a statistical hypothesis test that determines whether past values of one time series help predict future values of another, beyond what that series' own past already explains. Introduced by Clive Granger in 1969, it is the standard approach for assessing predictive causality in VAR-based time-series analysis. |
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