Compară metode
Examinează metodele selectate una lângă alta; rândurile care diferă sunt evidențiate.
| Model cu Efecte Fixe în Panou× | Diferența GMM (Estimator Arellano-Bond)× | |
|---|---|---|
| Domeniu | Econometrie | Econometrie |
| Familie | Regression model | Regression model |
| Anul apariției≠ | 1978 | 1991 |
| Autorul original≠ | Mundlak (1978); classical treatment in Wooldridge (2010) and Baltagi (2021) | Manuel Arellano and Stephen Bond |
| Tip≠ | Panel regression estimator | GMM panel estimator |
| Sursa seminală≠ | Wooldridge, J. M. (2010). Econometric Analysis of Cross Section and Panel Data (2nd ed.). MIT Press. ISBN: 978-0262232586 | 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 ↗ |
| Denumiri alternative | within estimator, FE model, within-group estimator, LSDV model | Arellano-Bond estimator, AB-GMM, first-difference GMM, difference GMM estimator |
| Înrudite | 5 | 5 |
| Rezumat≠ | The panel fixed effects (FE) model controls for all time-invariant, unit-specific unobserved heterogeneity by absorbing it into individual intercepts. By sweeping out unit means through the within transformation, FE yields unbiased estimates of the effect of time-varying regressors even when omitted unit-level confounders are correlated with those 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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