เปรียบเทียบวิธี

	ระเบียบวิธีควบคุมสังเคราะห์ข้อมูลแบบแผง (Panel Data Synthetic Control Method)	แบบจำลอง Fixed Effects สำหรับข้อมูล Panel Data
สาขาวิชา	การอนุมานเชิงสาเหตุ	เศรษฐมิติ
ตระกูล	Regression model	Regression model
ปีกำเนิด	2010	2014
ผู้ริเริ่ม	Alberto Abadie, Alexis Diamond & Jens Hainmueller	Hsiao (textbook treatment); within transformation of panel data
ประเภท	Causal inference / panel data	Panel data regression
แหล่งต้นตำรับ	Abadie, A., Diamond, A., & Hainmueller, J. (2010). Synthetic Control Methods for Comparative Case Studies: Estimating the Effect of California's Tobacco Control Program. Journal of the American Statistical Association, 105(490), 493-505.	Hsiao, C. (2014). Analysis of Panel Data (3rd ed.). Cambridge University Press.
ชื่อเรียกอื่น	SCM panel, panel synthetic control, synthetic control estimator, comparative case study	fixed effects model, within estimator, panel fixed-effects regression, Panel Veri — Sabit Etkiler Modeli
ที่เกี่ยวข้อง	5	5
สรุป	The panel data synthetic control method estimates the causal effect of an intervention on a single treated unit by constructing a data-driven weighted combination of untreated units — a synthetic control — that best reproduces the treated unit's pre-treatment outcome trajectory. The post-treatment gap between the treated unit and its synthetic counterpart is the estimated treatment effect.	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).