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| Błędy standardowe odporne na klastrowanie× | Model efektów stałych dla danych panelowych× | |
|---|---|---|
| Dziedzina≠ | Statystyka | Ekonometria |
| Rodzina | Regression model | Regression model |
| Rok powstania≠ | 1986 | 2014 |
| Twórca≠ | Liang & Zeger (GEE sandwich); Cameron & Miller (practitioner synthesis) | Hsiao (textbook treatment); within transformation of panel data |
| Typ≠ | Robust variance estimation for regression | Panel data regression |
| Źródło pierwotne≠ | Liang, K. Y. & Zeger, S. L. (1986). Longitudinal Data Analysis Using Generalized Linear Models. Biometrika, 73(1), 13-22. DOI ↗ | Hsiao, C. (2014). Analysis of Panel Data (3rd ed.). Cambridge University Press. DOI ↗ |
| Inne nazwy | clustered standard errors, cluster-robust inference, clustered variance estimator, Küme Robust Standart Hatalar | fixed effects model, within estimator, panel fixed-effects regression, Panel Veri — Sabit Etkiler Modeli |
| Pokrewne≠ | 4 | 5 |
| Podsumowanie≠ | Cluster-robust standard errors correct the variance of regression coefficients when observations are correlated within clusters such as schools, hospitals, or regions. The clustered sandwich estimator grew out of Liang & Zeger's (1986) generalized estimating equations and was synthesized for applied work by Cameron & Miller (2015), delivering valid inference when ordinary standard errors would be too small. | 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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