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Тест на Frees за кръстосана зависимост при панелни данни×Модел с фиксирани ефекти за панелни данни×
ОбластИконометрияИконометрия
СемействоHypothesis testRegression model
Година на възникване19952014
СъздателEdward FreesHsiao (textbook treatment); within transformation of panel data
ТипNon-parametric panel diagnostic testPanel data regression
Основополагащ източникFrees, 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 ↗
Други названияFrees 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
Свързани35
РезюмеThe 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).
ScholarGateНабор от данни
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ScholarGateСравнение на методи: Frees Test · Panel Fixed Effects. Извлечено на 2026-06-15 от https://scholargate.app/bg/compare