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Frees' test for tværsnitsafhængighed for paneldata×Panel Data Fixed Effects Model×
FagområdeØkonometriØkonometri
FamilieHypothesis testRegression model
Oprindelsesår19952014
OphavspersonEdward FreesHsiao (textbook treatment); within transformation of panel data
TypeNon-parametric panel diagnostic testPanel data regression
Oprindelig kildeFrees, 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 ↗
AliasserFrees 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
Relaterede35
ResuméThe 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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ScholarGateSammenlign metoder: Frees Test · Panel Fixed Effects. Hentet 2026-06-15 fra https://scholargate.app/da/compare