So sánh phương pháp

	Phương pháp Kiểm soát Tổng hợp Động	Khác biệt trong Khác biệt Động
Lĩnh vực	Suy luận nhân quả	Suy luận nhân quả
Họ	Regression model	Regression model
Năm ra đời	2010	2021
Người khởi xướng	Abadie, Diamond & Hainmueller (2010); dynamic extensions by Abadie (2021) and others	Callaway & Sant'Anna; Sun & Abraham
Loại	Comparative case study / counterfactual estimation	Causal inference / quasi-experimental
Công trình gốc	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.	Callaway, B., & Sant'Anna, P. H. C. (2021). Difference-in-differences with multiple time periods. Journal of Econometrics, 225(2), 200-230.
Tên gọi khác	Dynamic SCM, Time-varying synthetic control, Multi-period synthetic control, DSC	Dynamic DiD, Staggered DiD, Event-time DiD, Heterogeneous-timing DiD
Liên quan	5	4
Tóm tắt	The Dynamic Synthetic Control Method extends the classic synthetic control framework to evaluate treatments that unfold over multiple periods or change in intensity over time. It constructs a weighted combination of untreated units that matches the treated unit in pre-treatment outcomes, then traces the full time path of treatment effects period by period after the intervention — capturing not just an average effect but how the effect evolves dynamically.	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.