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Frees 截面相关性检验(Frees Cross-Sectional Dependence Test)×面板数据固定效应模型×
领域计量经济学计量经济学
方法族Hypothesis testRegression model
起源年份19952014
提出者Edward FreesHsiao (textbook treatment); within transformation of panel data
类型Non-parametric panel diagnostic testPanel data regression
开创性文献Frees, E. W. (1995). Assessing cross-sectional correlation in panel data. Journal of Econometrics, 69(2), 393–414. DOI ↗Hsiao, C. (2014). Analysis of Panel Data (3rd ed.). Cambridge University Press. DOI ↗
别名Frees CD Test, Frees Q-statistic Test, Cross-Sectional Dependence Test (Frees), Frees Bağımlılık Testifixed effects model, within estimator, panel fixed-effects regression, Panel Veri — Sabit Etkiler Modeli
相关35
摘要The Frees test, introduced by Edward Frees in 1995, is a non-parametric diagnostic procedure for detecting cross-sectional dependence in panel data. It is designed for settings where N (number of units) is large and T (time periods) is moderate, making it a standard pre-estimation check before applying panel regression methods that assume cross-sectional independence. Applied economists and social scientists routinely use it to verify whether units in the panel share common shocks or spatial linkages.The Panel Data Fixed Effects model estimates relationships from panel data (the same units observed over several time periods) while controlling for unit- and/or time-specific effects, supporting causal inference. It is developed as the within estimator in standard treatments such as Hsiao's Analysis of Panel Data (2014).
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ScholarGate方法对比: Frees Test · Panel Fixed Effects. 于 2026-06-15 检索自 https://scholargate.app/zh/compare