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Näennäisesti riippumattomat regressiot (SUR)×Paneeliaineiston kiinteiden vaikutusten malli×
TieteenalaEkonometriaEkonometria
MenetelmäperheRegression modelRegression model
Syntyvuosi19622014
KehittäjäArnold ZellnerHsiao (textbook treatment); within transformation of panel data
TyyppiSystem regression (multi-equation)Panel data regression
AlkuperäislähdeZellner, A. (1962). An Efficient Method of Estimating Seemingly Unrelated Regressions and Tests for Aggregation Bias. Journal of the American Statistical Association, 57(298), 348-368. DOI ↗Hsiao, C. (2014). Analysis of Panel Data (3rd ed.). Cambridge University Press. DOI ↗
RinnakkaisnimetSUR, Zellner's SUR, seemingly unrelated regression equations, Görünürde İlişkisiz Regresyon (SUR)fixed effects model, within estimator, panel fixed-effects regression, Panel Veri — Sabit Etkiler Modeli
Liittyvät55
TiivistelmäSeemingly Unrelated Regressions, introduced by Arnold Zellner in 1962, is a system regression method that estimates several linear equations jointly when their error terms are correlated across equations. By exploiting that cross-equation correlation through generalized least squares, it is more efficient than estimating each equation separately by OLS.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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ScholarGateVertaile menetelmiä: Seemingly Unrelated Regression · Panel Fixed Effects. Haettu 2026-06-18 osoitteesta https://scholargate.app/fi/compare