Regression model
随机效应模型 (Random Effects model)
随机效应模型是一种面板数据回归模型，它将不可观测的个体异质性视为从共同分布中抽取的随机分量，而不是为每个单元估计一个单独的参数。它是面板计量经济学中的标准估计量，在 Baltagi 的《面板数据计量经济学分析》(Econometric Analysis of Panel Data, 2021) 等教科书中得到了阐述。
阅读完整方法
仅限会员
登录使用免费账户登录即可阅读本节。
Method map
The neighbourhood of related methods — select a node to explore.
+3 more
来源
- Baltagi, B. H. (2021). Econometric Analysis of Panel Data (6th ed.). Springer. DOI: 10.1007/978-3-030-53953-5 ↗
如何引用本页
ScholarGate. (2026, June 1). Panel Data Random Effects Model. ScholarGate. https://scholargate.app/zh/econometrics/panel-random-effects
Which method?
Set this method beside its closest kin and read them side by side — the library lays the books on the table; the choice is yours.
- 双重差分法 (Diff-in-Diff)计量经济学↔ compare
- 因果推断的工具变量（IV）方法卫生经济学↔ compare
- 普通最小二乘法 (OLS) 回归计量经济学↔ compare
- 面板数据固定效应模型计量经济学↔ compare
- 岭回归（Ridge Regression）机器学习↔ compare