So sánh phương pháp

	Sai Khác Mạnh Mẽ trong Sai Khác	Phương pháp Sai phân theo Sai phân Đa thời kỳ (Staggered DiD)
Lĩnh vực	Suy luận nhân quả	Suy luận nhân quả
Họ	Regression model	Regression model
Năm ra đời	2021-2023	2021
Người khởi xướng	Callaway & Sant'Anna; Sun & Abraham; Roth et al. (synthesised 2021-2023)	Callaway & Sant'Anna; Goodman-Bacon
Loại	Causal inference / panel regression	Causal inference / panel regression
Công trình gốc	Callaway, B., & Sant'Anna, P. H. C. (2021). Difference-in-differences with multiple time periods. Journal of Econometrics, 225(2), 200-230.	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	robust DiD, heterogeneity-robust DiD, staggered DiD, disaggregated ATT DiD	staggered DiD, multi-period DiD, staggered difference-in-differences, heterogeneous timing DiD
Liên quan	5	5
Tóm tắt	Robust Difference-in-Differences is a family of modern DiD estimators designed to remain valid when treatment timing is staggered across units and treatment effects are heterogeneous over time or across groups. Classical two-way fixed-effects (TWFE) DiD can be severely biased in such settings; robust variants estimate group-time average treatment effects (ATTs) separately and then aggregate them in a theoretically sound way.	Multi-period Difference-in-Differences extends the classic two-period DiD framework to settings where units adopt treatment at different points in time. Formalised by Callaway and Sant'Anna (2021) and Goodman-Bacon (2021), it decomposes the overall treatment effect into group-time average treatment effects and addresses the bias that arises when conventional two-way fixed-effects regressions are applied to staggered adoption designs.