विधियों की तुलना करें
चुनी हुई विधियों की आमने-सामने समीक्षा करें; भिन्नता वाली पंक्तियाँ रेखांकित हैं।
| पैनल अरेलानो-बॉन्ड जीएमएम एस्टीमेटर× | पैनल रैंडम इफेक्ट्स मॉडल× | |
|---|---|---|
| क्षेत्र | अर्थमिति | अर्थमिति |
| परिवार | Regression model | Regression model |
| उद्भव वर्ष≠ | 1991 | 1966 |
| प्रवर्तक≠ | Manuel Arellano and Stephen Bond | Balestra & Nerlove |
| प्रकार≠ | Dynamic panel GMM estimator | Panel data estimator |
| मौलिक स्रोत≠ | 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 ↗ | Balestra, P., & Nerlove, M. (1966). Pooling cross section and time series data in the estimation of a dynamic model: The demand for natural gas. Econometrica, 34(3), 585–612. DOI ↗ |
| उपनाम | Arellano-Bond GMM, AB-GMM, difference GMM estimator, dynamic panel GMM | random effects estimator, RE model, GLS random effects, error components model |
| संबंधित | 5 | 5 |
| सारांश≠ | The Arellano-Bond GMM estimator addresses the two core problems of dynamic panel models — individual fixed effects correlated with the regressors, and the endogeneity introduced by a lagged dependent variable — by first-differencing to remove fixed effects and then using lagged levels of the dependent variable as internal instruments. | The panel random effects (RE) model treats individual-specific effects as random draws from a population distribution rather than fixed constants, enabling efficient estimation by generalised least squares and allowing inference about time-invariant regressors that are swept away in fixed effects estimation. |
| ScholarGateडेटासेट ↗ |
|
|