So sánh phương pháp

	Multi-period Coarsened Exact Matching (ghép khớp chính xác có rút gọn đa kỳ)	Ghép Chính xác Tinh giản Dữ liệu Bảng
Lĩnh vực	Suy luận nhân quả	Suy luận nhân quả
Họ	Regression model	Regression model
Năm ra đời	2012–2021	2012 (CEM); 2021 (panel extension)
Người khởi xướng	Iacus, King & Porro (CEM, 2012); extended to multi-period panel settings	Iacus, King & Porro (CEM, 2012); panel extension via Imai, Kim & Wang (2021)
Loại	Non-parametric matching / causal inference	Matching / quasi-experimental
Công trình gốc	Iacus, S. M., King, G., & Porro, G. (2012). Causal inference without balance checking: Coarsened exact matching. Political Analysis, 20(1), 1-24.	Iacus, S. M., King, G., & Porro, G. (2012). Causal Inference without Balance Checking: Coarsened Exact Matching. Political Analysis, 20(1), 1-24.
Tên gọi khác	Multi-period CEM, Longitudinal CEM, Panel CEM, Multi-wave CEM	Panel CEM, CEM for panel data, coarsened exact matching with panel data
Liên quan	6	6
Tóm tắt	Multi-period Coarsened Exact Matching (multi-period CEM) extends the CEM framework of Iacus, King, and Porro to longitudinal data with multiple pre- and post-treatment periods. It bins continuous covariates into coarsened categories, matches treated and control units that fall into the same cells across all relevant time periods, and then estimates a weighted average treatment effect that accounts for temporal structure.	Panel Data Coarsened Exact Matching applies the Coarsened Exact Matching (CEM) algorithm to repeated-measures panel data, matching treated and control units within the same coarsened covariate strata across multiple time periods. It balances pre-treatment characteristics before estimating a causal treatment effect, combining the transparency of exact matching with the richer identification available in longitudinal datasets.