So sánh phương pháp

	Ước lượng Khớp Động	Ước lượng khớp cặp
Lĩnh vực	Suy luận nhân quả	Suy luận nhân quả
Họ	Regression model	Regression model
Năm ra đời	2010	1973
Người khởi xướng	Lechner & Miquel (2010); building on Heckman, Ichimura & Todd (1998)	Rubin (1973); large-sample theory by Abadie & Imbens (2006)
Loại	Nonparametric causal inference / matching	Nonparametric matching / causal inference
Công trình gốc	Lechner, M., & Miquel, R. (2010). Identification of the effects of dynamic treatments by sequential conditional independence assumptions. Empirical Economics, 39(1), 111-137.	Abadie, A., & Imbens, G. W. (2006). Large Sample Properties of Matching Estimators for Average Treatment Effects. Econometrica, 74(1), 235-267.
Tên gọi khác	dynamic treatment matching, sequential matching estimator, dynamic selection-on-observables, DME	nearest-neighbor matching, NNM, matching on covariates, covariate matching
Liên quan	6	6
Tóm tắt	The Dynamic Matching Estimator extends standard matching methods to settings where treatment is assigned sequentially over multiple periods. Instead of a single treatment decision, units receive or forgo treatment at each time point, and the estimator identifies causal effects of entire treatment histories by matching on time-varying covariates and past treatment paths, under sequential conditional independence assumptions.	The matching estimator identifies the causal effect of a treatment by pairing each treated unit with one or more untreated units that have similar observed characteristics. Formalised by Rubin (1973) and given rigorous large-sample theory by Abadie and Imbens (2006), it constructs a credible control group from observational data without requiring a parametric model for the outcome.