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。
| 贝叶斯豪斯曼检验× | 贝叶斯面板数据分析× | |
|---|---|---|
| 领域 | 计量经济学 | 计量经济学 |
| 方法族 | Regression model | Regression model |
| 起源年份≠ | 1978 (classical); Bayesian adaptations 1990s–2000s | 1971–1999 |
| 提出者≠ | Bayesian reformulation of Hausman (1978); developed across Bayesian econometrics literature | Zellner (1971); Hsiao, Pesaran, and Tahmiscioglu (1999) |
| 类型≠ | Specification test / model comparison | Bayesian estimation for panel data |
| 开创性文献≠ | Hausman, J. A. (1978). Specification tests in econometrics. Econometrica, 46(6), 1251–1271. DOI ↗ | Hsiao, C. (2003). Analysis of Panel Data (2nd ed.). Cambridge University Press. ISBN: 978-0521522717 |
| 别名 | Bayesian specification test, Bayesian endogeneity test, Bayesian FE vs RE test, Bayesian Durbin-Wu-Hausman | Bayesian panel model, Bayesian longitudinal model, hierarchical panel model, Bayesian multilevel panel |
| 相关 | 5 | 5 |
| 摘要≠ | The Bayesian Hausman test is a Bayesian reformulation of Hausman's (1978) classical specification test, used to assess endogeneity or to choose between fixed effects and random effects panel models. Instead of a chi-squared test statistic, it uses posterior model probabilities or Bayes factors to compare competing specifications, fully incorporating prior uncertainty about model parameters. | 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. |
| ScholarGate数据集 ↗ |
|
|