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चुनी हुई विधियों की आमने-सामने समीक्षा करें; भिन्नता वाली पंक्तियाँ रेखांकित हैं।
| समय-परिवर्तनीय पैरामीटर सिस्टम जीएमएम× | गतिशील पैनल डेटा मॉडल (Dynamic Panel Data Model)× | |
|---|---|---|
| क्षेत्र | अर्थमिति | अर्थमिति |
| परिवार | Regression model | Regression model |
| उद्भव वर्ष≠ | 1998 (System GMM); TVP extensions in applied literature thereafter | 1991–1998 |
| प्रवर्तक≠ | Blundell & Bond (System GMM base); Cooley & Prescott (TVP framework) | Arellano & Bond (1991); Blundell & Bond (1998) |
| प्रकार≠ | Dynamic panel estimator with time-varying coefficients | Dynamic panel regression |
| 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 | TVP System GMM, time-varying System GMM, TVP-SGMM, dynamic panel TVP estimator | dynamic panel model, lagged dependent variable panel model, Arellano-Bond type dynamic panel, GMM dynamic panel |
| संबंधित≠ | 6 | 5 |
| सारांश≠ | Time-Varying Parameter System GMM extends the Blundell-Bond System Generalized Method of Moments estimator to allow regression coefficients to change over time. By combining the instrument-based correction for dynamic endogeneity with a time-varying coefficient structure, the method captures both the persistence of the lagged dependent variable and structural shifts in the effect of regressors across periods. | The dynamic panel data model extends standard panel regression by including one or more lagged values of the outcome variable as regressors. Because past outcomes directly predict current outcomes, the model captures persistence and adjustment dynamics — but it also introduces a correlation between the lagged dependent variable and the individual fixed effect, rendering OLS and standard fixed-effects estimators inconsistent. GMM-based approaches developed by Arellano-Bond and Blundell-Bond resolve this problem. |
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