เปรียบเทียบวิธี

	ตัวประมาณค่าผลกระทบร่วมเฉลี่ยกลุ่ม (CCEMG)	ตัวประมาณค่า Augmented Mean Group (AMG)	แบบจำลอง Fixed Effects สำหรับข้อมูล Panel Data
สาขาวิชา	เศรษฐมิติ	เศรษฐมิติ	เศรษฐมิติ
ตระกูล	Regression model	Regression model	Regression model
ปีกำเนิด	2006	2010	2014
ผู้ริเริ่ม	M. Hashem Pesaran	Eberhardt & Teal; Bond & Eberhardt	Hsiao (textbook treatment); within transformation of panel data
ประเภท	Heterogeneous panel estimator	Heterogeneous panel data estimator	Panel data regression
แหล่งต้นตำรับ	Pesaran, M. H. (2006). Estimation and Inference in Large Heterogeneous Panels with a Multifactor Error Structure. Econometrica, 74(4), 967-1012.	Eberhardt, M. & Teal, F. (2010). Productivity Analysis in Global Manufacturing Production. Economics Series Working Papers, No. 515, University of Oxford.	Hsiao, C. (2014). Analysis of Panel Data (3rd ed.). Cambridge University Press.
ชื่อเรียกอื่น	common correlated effects, CCE, CCEMG, Pesaran CCE estimator	AMG estimator, augmented mean group, Artırılmış Ortalama Grup Tahmincisi (AMG)	fixed effects model, within estimator, panel fixed-effects regression, Panel Veri — Sabit Etkiler Modeli
ที่เกี่ยวข้อง	4	4	5
สรุป	The Common Correlated Effects Mean Group estimator, introduced by Pesaran in 2006, is a heterogeneous panel-data estimator that controls for cross-sectional dependence by approximating unobserved common factors with the cross-section averages of the variables. It remains consistent when the slope coefficients differ across units.	The Augmented Mean Group estimator, developed by Eberhardt and Teal (2010), is a panel data method for estimating heterogeneous slope coefficients in the presence of cross-sectional dependence. It approximates the unobserved common dynamic process driving all units and folds it into unit-by-unit regressions, then averages the results.	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).