विधियों की तुलना करें
चुनी हुई विधियों की आमने-सामने समीक्षा करें; भिन्नता वाली पंक्तियाँ रेखांकित हैं।
| Robust System GMM× | डिफरेंस जीएमएम (अरेलानो-बॉन्ड एस्टीमेटर)× | |
|---|---|---|
| क्षेत्र | अर्थमिति | अर्थमिति |
| परिवार | Regression model | Regression model |
| उद्भव वर्ष≠ | 1998–2005 | 1991 |
| प्रवर्तक≠ | Blundell & Bond (1998); robustness corrections by Windmeijer (2005) | Manuel Arellano and Stephen Bond |
| प्रकार≠ | Panel data GMM estimator | GMM panel estimator |
| मौलिक स्रोत≠ | Blundell, R., & Bond, S. (1998). Initial conditions and moment restrictions in dynamic panel data models. Journal of Econometrics, 87(1), 115–143. DOI ↗ | Arellano, M., & Bond, S. (1991). Some tests of specification for panel data: Monte Carlo evidence and an application to employment equations. Review of Economic Studies, 58(2), 277–297. DOI ↗ |
| उपनाम | system GMM with robust standard errors, two-step system GMM, Blundell-Bond robust estimator, robust S-GMM | Arellano-Bond estimator, AB-GMM, first-difference GMM, difference GMM estimator |
| संबंधित | 5 | 5 |
| सारांश≠ | Robust System GMM is a two-step panel data estimator that combines the difference and levels moment conditions of Blundell and Bond (1998) with Windmeijer's (2005) finite-sample correction to the two-step variance, producing valid inference even in short panels with a persistent dependent variable, individual fixed effects, and potentially endogenous regressors. | Difference GMM, introduced by Arellano and Bond (1991), estimates dynamic panel data models by first-differencing the equation to remove fixed effects, then using lagged levels of the endogenous variables as GMM instruments. It is the standard approach when a lagged dependent variable or other endogenous regressors are present in a panel with many units and few time periods. |
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