Comparar métodos
Revisa los métodos seleccionados uno junto a otro; las filas que difieren aparecen resaltadas.
| GMM de sistema con parámetros variantes en el tiempo× | GMM de Arellano-Bond con Parámetros Variables en el Tiempo× | |
|---|---|---|
| Campo | Econometría | Econometría |
| Familia | Regression model | Regression model |
| Año de origen≠ | 1998 (System GMM); TVP extensions in applied literature thereafter | 1990s-2000s |
| Autor original≠ | Blundell & Bond (System GMM base); Cooley & Prescott (TVP framework) | Extension of Arellano & Bond (1991); TVP generalisation developed in panel econometrics literature |
| Tipo≠ | Dynamic panel estimator with time-varying coefficients | Dynamic panel GMM with time-varying coefficients |
| Fuente seminal≠ | 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. The Review of Economic Studies, 58(2), 277-297. DOI ↗ |
| Alias | TVP System GMM, time-varying System GMM, TVP-SGMM, dynamic panel TVP estimator | TVP Arellano-Bond GMM, TVP-AB GMM, time-varying coefficient dynamic panel GMM, state-space Arellano-Bond estimator |
| Relacionados | 6 | 6 |
| Resumen≠ | 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 time-varying parameter Arellano-Bond GMM (TVP-AB GMM) is a dynamic panel estimator that extends the classic Arellano-Bond difference GMM framework by allowing regression coefficients to evolve over time. It addresses both individual fixed effects and the endogeneity of lagged dependent variables, while accommodating structural change and parameter instability across the sample period. |
| ScholarGateConjunto de datos ↗ |
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