เปรียบเทียบวิธี

	การวิเคราะห์ชายแดนสโตแคสติก (SFA)	แบบจำลอง Fixed Effects สำหรับข้อมูล Panel Data
สาขาวิชา	เศรษฐมิติ	เศรษฐมิติ
ตระกูล	Regression model	Regression model
ปีกำเนิด	1977	2014
ผู้ริเริ่ม	Aigner, Lovell & Schmidt (1977); Battese & Coelli (1995) for panels	Hsiao (textbook treatment); within transformation of panel data
ประเภท	Frontier regression model	Panel data regression
แหล่งต้นตำรับ	Aigner, D., Lovell, C.A.K. & Schmidt, P. (1977). Formulation and Estimation of Stochastic Frontier Production Function Models. Journal of Econometrics, 6(1), 21–37.	Hsiao, C. (2014). Analysis of Panel Data (3rd ed.). Cambridge University Press.
ชื่อเรียกอื่น	SFA, stochastic frontier model, stochastic production frontier, Stokastik Sınır Analizi (SFA)	fixed effects model, within estimator, panel fixed-effects regression, Panel Veri — Sabit Etkiler Modeli
ที่เกี่ยวข้อง	3	5
สรุป	Stochastic Frontier Analysis is a frontier regression model, introduced by Aigner, Lovell and Schmidt in 1977, that estimates a production, cost, or profit function while separating each unit's technical inefficiency from ordinary statistical noise. It splits the error term into a symmetric random component and a one-sided inefficiency component, producing firm- or country-level efficiency scores.	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).