方法对比
并排查看您选择的方法；存在差异的行会高亮显示。
| 贝叶斯动态面板数据模型× | 面板固定效应模型× | |
|---|---|---|
| 领域 | 计量经济学 | 计量经济学 |
| 方法族 | Regression model | Regression model |
| 起源年份≠ | 2002–2007 | 1978 |
| 提出者≠ | Hsiao, Pesaran, Tahmiscioglu; Arellano & Bonhomme | Mundlak (1978); classical treatment in Wooldridge (2010) and Baltagi (2021) |
| 类型≠ | Bayesian panel model | Panel regression estimator |
| 开创性文献≠ | Hsiao, C., Pesaran, M. H., & Tahmiscioglu, A. K. (2002). Maximum likelihood estimation of fixed effects dynamic panel data models covering short time periods. Journal of Econometrics, 109(1), 107–150. DOI ↗ | Wooldridge, J. M. (2010). Econometric Analysis of Cross Section and Panel Data (2nd ed.). MIT Press. ISBN: 978-0262232586 |
| 别名 | Bayesian DPD model, Bayesian lagged dependent variable panel model, Bayesian autoregressive panel model, B-DPD | within estimator, FE model, within-group estimator, LSDV model |
| 相关≠ | 6 | 5 |
| 摘要≠ | The Bayesian dynamic panel data model extends standard dynamic panel models — which include a lagged dependent variable to capture state dependence — by estimating all parameters within a Bayesian framework. Prior distributions are combined with the likelihood to yield a full posterior distribution over model parameters, enabling probabilistic inference and coherent uncertainty quantification even in short panels. | 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. |
| ScholarGate数据集 ↗ |
|
|