Comparer des méthodes
Examinez les méthodes sélectionnées côte à côte ; les lignes qui diffèrent sont mises en évidence.
| Analyse bayésienne de données de panel× | Modèle à effets fixes× | |
|---|---|---|
| Domaine | Économétrie | Économétrie |
| Famille | Regression model | Regression model |
| Année d'origine≠ | 1971–1999 | 1971–1978 |
| Auteur d'origine≠ | Zellner (1971); Hsiao, Pesaran, and Tahmiscioglu (1999) | Mundlak (1978); Nerlove (1971); classical panel econometrics |
| Type≠ | Bayesian estimation for panel data | Panel regression estimator |
| Source fondatrice≠ | Hsiao, C. (2003). Analysis of Panel Data (2nd ed.). Cambridge University Press. ISBN: 978-0521522717 | Baltagi, B. H. (2021). Econometric Analysis of Panel Data (6th ed.). Springer. ISBN: 978-3030538002 |
| Alias | Bayesian panel model, Bayesian longitudinal model, hierarchical panel model, Bayesian multilevel panel | FE model, within estimator, least squares dummy variable, LSDV regression |
| Apparentées | 5 | 5 |
| Résumé≠ | Bayesian panel data analysis applies Bayesian inference to models with repeated observations on multiple units. By placing prior distributions on coefficients and variance components, it merges prior knowledge with the observed panel likelihood to produce full posterior distributions for fixed or random effects, slope heterogeneity, and variance parameters — rather than point estimates and asymptotic standard errors. | The fixed effects (FE) model is the workhorse estimator for panel data when unobserved unit-specific characteristics are suspected to correlate with the regressors. By absorbing each entity's time-invariant heterogeneity into a separate intercept, FE isolates the causal effect of within-unit variation and eliminates omitted-variable bias from time-constant confounders. |
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