Linganisha mbinu

	Njia ya Udhibiti wa Usanisi katika Utafiti wa Elimu	Kielelezo cha Athari Zilizowekwa za Data ya Paneli
Nyanja	Uhitimisho wa Kisababishi	Ekonometriki
Familia	Regression model	Regression model
Mwaka wa asili	2003-2010	2014
Mwanzilishi	Alberto Abadie, Alexis Diamond, and Jens Hainmueller	Hsiao (textbook treatment); within transformation of panel data
Aina	Quasi-experimental causal inference	Panel data regression
Chanzo asilia	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.
Majina mbadala	SCM in education, synthetic control, synthetic comparator, SCM	fixed effects model, within estimator, panel fixed-effects regression, Panel Veri — Sabit Etkiler Modeli
Zinazohusiana	5	5
Muhtasari	The Synthetic Control Method (SCM) estimates the causal effect of an education policy or intervention by constructing a weighted combination of untreated comparison units — the synthetic control — that closely mimics the treated unit's pre-intervention trajectory. Developed by Abadie, Diamond, and Hainmueller, it is especially valuable when only one or a small number of schools, districts, or countries receive a policy change and no natural comparison exists.	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).