Comparar métodos
Examine os métodos selecionados lado a lado; as linhas que diferem ficam destacadas.
| GMM em Painel (Estimador de Blundell-Bond)× | Modelo de Efeitos Fixos em Painel× | |
|---|---|---|
| Área | Econometria | Econometria |
| Família | Regression model | Regression model |
| Ano de origem≠ | 1998 | 1978 |
| Autor original≠ | Blundell & Bond (1998); Arellano & Bover (1995) | Mundlak (1978); classical treatment in Wooldridge (2010) and Baltagi (2021) |
| Tipo≠ | GMM estimator for dynamic panel data | Panel regression estimator |
| Fonte seminal≠ | Blundell, R., & Bond, S. (1998). Initial conditions and moment restrictions in dynamic panel data models. Journal of Econometrics, 87(1), 115–143. DOI ↗ | Wooldridge, J. M. (2010). Econometric Analysis of Cross Section and Panel Data (2nd ed.). MIT Press. ISBN: 978-0262232586 |
| Outros nomes | System GMM, Blundell-Bond estimator, SYS-GMM, two-step System GMM | within estimator, FE model, within-group estimator, LSDV model |
| Relacionados≠ | 6 | 5 |
| Resumo≠ | Panel System GMM is a two-equation GMM estimator for dynamic panel data that stacks the differenced equation (using lagged levels as instruments) with the levels equation (using lagged differences as instruments). Developed by Blundell and Bond (1998) on the foundation of Arellano and Bover (1995), it is the preferred tool when the lagged dependent variable is highly persistent or individual effects are large. | 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. |
| ScholarGateConjunto de dados ↗ |
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