Comparar métodos
Examine os métodos selecionados lado a lado; as linhas que diferem ficam destacadas.
| Modelo de Efeitos Fixos Não Linear× | Modelo de Efeitos Fixos em Painel× | |
|---|---|---|
| Área | Econometria | Econometria |
| Família | Regression model | Regression model |
| Ano de origem≠ | 1984 | 1978 |
| Autor original≠ | Gary Chamberlain | Mundlak (1978); classical treatment in Wooldridge (2010) and Baltagi (2021) |
| Tipo≠ | Panel data estimator | Panel regression estimator |
| Fonte seminal≠ | Chamberlain, G. (1984). Panel data. In Z. Griliches & M. D. Intriligator (Eds.), Handbook of Econometrics (Vol. 2, pp. 1247–1318). Elsevier. link ↗ | Wooldridge, J. M. (2010). Econometric Analysis of Cross Section and Panel Data (2nd ed.). MIT Press. ISBN: 978-0262232586 |
| Outros nomes | nonlinear FE model, NLFE, conditional fixed effects model, incidental parameters model | within estimator, FE model, within-group estimator, LSDV model |
| Relacionados | 5 | 5 |
| Resumo≠ | The nonlinear fixed effects model extends fixed effects panel estimation to outcomes governed by nonlinear response functions — such as binary, count, or censored outcomes — while absorbing unobserved individual heterogeneity through unit-specific intercepts. Key special cases include conditional logit for binary outcomes and Poisson fixed effects for count data. | 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 ↗ |
|
|