เปรียบเทียบวิธี

	ไดนามิก ดิฟ-อิน-ดิฟ (Dynamic Difference-in-Differences)	ระเบียบวิธีสังเคราะห์การควบคุม (Synthetic Control Method - SCM)
สาขาวิชา	การอนุมานเชิงสาเหตุ	การอนุมานเชิงสาเหตุ
ตระกูล	Regression model	Regression model
ปีกำเนิด	2021	2003–2010
ผู้ริเริ่ม	Callaway & Sant'Anna; Sun & Abraham	Alberto Abadie & Javier Gardeazabal (2003); Abadie, Diamond & Hainmueller (2010)
ประเภท	Causal inference / quasi-experimental	Quasi-experimental causal inference
แหล่งต้นตำรับ	Callaway, B., & Sant'Anna, P. H. C. (2021). Difference-in-differences with multiple time periods. Journal of Econometrics, 225(2), 200-230.	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.
ชื่อเรียกอื่น	Dynamic DiD, Staggered DiD, Event-time DiD, Heterogeneous-timing DiD	SCM, synthetic control, synth estimator, Abadie-Diamond-Hainmueller method
ที่เกี่ยวข้อง	4	4
สรุป	Dynamic Difference-in-Differences extends the classic DiD framework to settings where units adopt treatment at different times. Rather than collapsing all variation into a single 2x2 comparison, it estimates group-time average treatment effects for each adoption cohort at each calendar period, then aggregates them into interpretable summaries of the causal effect over event time.	The Synthetic Control Method estimates the causal effect of a treatment or policy on a single treated unit by constructing a weighted combination of untreated units — the synthetic control — that closely resembles the treated unit before the intervention. The gap between the treated unit and its synthetic counterpart after the intervention is the estimated treatment effect.