So sánh phương pháp

	Cân bằng Entropy Dữ liệu Bảng	Cân bằng Entropy
Lĩnh vực	Suy luận nhân quả	Suy luận nhân quả
Họ	Regression model	Regression model
Năm ra đời	2012 (cross-section); panel adaptation mid-2010s onward	2012
Người khởi xướng	Hainmueller (2012); extended to panel settings by subsequent applied econometric work	Jens Hainmueller
Loại	Covariate balancing / reweighting estimator	Covariate-balancing reweighting
Công trình gốc	Hainmueller, J. (2012). Entropy Balancing for Causal Effects: A Multivariate Reweighting Method to Produce Balanced Samples in Observational Studies. Political Analysis, 20(1), 25-46.	Hainmueller, J. (2012). Entropy balancing for causal effects: A multivariate reweighting method to produce balanced samples in observational studies. Political Analysis, 20(1), 25-46.
Tên gọi khác	EB-panel, panel entropy balancing, entropy reweighting in panel data, panel-EB	EB, entropy reweighting, covariate balancing via entropy, Hainmueller balancing
Liên quan	5	6
Tóm tắt	Panel data entropy balancing extends Hainmueller's (2012) entropy balancing method to longitudinal settings. It computes unit-level weights for control observations so that their covariate moments exactly match those of the treatment group across panel periods, then plugs these weights into a weighted panel regression to estimate causal treatment effects without requiring a correctly specified propensity score model.	Entropy balancing is a preprocessing method for causal inference that assigns weights to control-group units so that the reweighted control sample matches the treatment group exactly on a chosen set of covariate moments (means, variances, skewness). Introduced by Hainmueller (2012), it replaces trial-and-error propensity-score trimming with a constrained maximum-entropy optimisation that achieves balance in a single step.