Сравнение методов
Просматривайте выбранные методы рядом; строки с различиями подсвечены.
| Модель Байесовских фиксированных эффектов× | Байесовский анализ панельных данных× | |
|---|---|---|
| Область | Эконометрика | Эконометрика |
| Семейство | Regression model | Regression model |
| Год появления≠ | 2000–2008 | 1971–1999 |
| Автор метода≠ | Chib (2008); Lancaster (2000) | Zellner (1971); Hsiao, Pesaran, and Tahmiscioglu (1999) |
| Тип≠ | Bayesian panel regression | Bayesian estimation for panel data |
| Основополагающий источник≠ | Lancaster, T. (2000). The incidental parameter problem since 1948. Journal of Econometrics, 95(2), 391–413. DOI ↗ | Hsiao, C. (2003). Analysis of Panel Data (2nd ed.). Cambridge University Press. ISBN: 978-0521522717 |
| Другие названия | Bayesian within estimator, Bayesian FE model, Bayesian individual fixed effects, Bayesian least squares dummy variable | Bayesian panel model, Bayesian longitudinal model, hierarchical panel model, Bayesian multilevel panel |
| Связанные | 5 | 5 |
| Сводка≠ | The Bayesian fixed effects model applies Bayesian inference to the classical within-group panel estimator. Unit-specific intercepts capture time-invariant unobserved heterogeneity, while prior distributions on all parameters allow probability statements about coefficients and full uncertainty quantification via the posterior distribution. | 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. |
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