השוואת שיטות

	מודל אפקטים מקריים מתואמים של מונדלאק-צ'מברליין	מודל האפקטים הקבועים לנתוני פאנל
תחום	אקונומטריקה	אקונומטריקה
משפחה	Regression model	Regression model
שנת המקור	1978	2014
הוגה השיטה	Yair Mundlak; Gary Chamberlain	Hsiao (textbook treatment); within transformation of panel data
סוג	Panel data estimator	Panel data regression
מקור מכונן	Mundlak, Y. (1978). On the pooling of time series and cross section data. Econometrica, 46(1), 69–85.	Hsiao, C. (2014). Analysis of Panel Data (3rd ed.). Cambridge University Press.
כינויים	Correlated Random Effects, CRE Estimator, Mundlak Device, Korelasyonlu Rassal Etkiler	fixed effects model, within estimator, panel fixed-effects regression, Panel Veri — Sabit Etkiler Modeli
קשורות	2	5
תקציר	The Mundlak-Chamberlain correlated random effects (CRE) estimator, introduced by Mundlak (1978) and extended by Chamberlain (1982), is a panel data technique that reconciles the fixed effects and random effects approaches by explicitly modelling the correlation between unobserved individual heterogeneity and the observed regressors. By including within-group means of time-varying covariates as additional regressors in a random effects framework, CRE yields estimates numerically equivalent to the within (fixed effects) estimator while permitting identification of time-invariant variables.	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).