Compară metode
Examinează metodele selectate una lângă alta; rândurile care diferă sunt evidențiate.
| Estimatorul GMM Arellano-Bond pentru date de panel× | Model cu Efecte Aleatorii pe Panou× | |
|---|---|---|
| Domeniu | Econometrie | Econometrie |
| Familie | Regression model | Regression model |
| Anul apariției≠ | 1991 | 1966 |
| Autorul original≠ | Manuel Arellano and Stephen Bond | Balestra & Nerlove |
| Tip≠ | Dynamic panel GMM estimator | Panel data estimator |
| Sursa seminală≠ | 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 ↗ |
| Denumiri alternative | Arellano-Bond GMM, AB-GMM, difference GMM estimator, dynamic panel GMM | random effects estimator, RE model, GLS random effects, error components model |
| Înrudite | 5 | 5 |
| Rezumat≠ | 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. |
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