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Trọng số điểm xu hướng dữ liệu bảng×Trọng số điểm xu hướng (PSW / IPW)×
Lĩnh vựcSuy luận nhân quảSuy luận nhân quả
HọRegression modelRegression model
Năm ra đời2000-20031983 (propensity score); 2003 (efficient IPW estimator)
Người khởi xướngHirano, Imbens & Ridder; Robins, Hernan & BrumbackRosenbaum & Rubin (propensity score); Hirano, Imbens & Ridder (efficient weighting)
LoạiCausal inference / panel weightingCausal inference / reweighting
Công trình gốcHirano, K., Imbens, G. W., & Ridder, G. (2003). Efficient Estimation of Average Treatment Effects Using the Estimated Propensity Score. Econometrica, 71(4), 1161-1189. DOI ↗Rosenbaum, P. R., & Rubin, D. B. (1983). The central role of the propensity score in observational studies for causal effects. Biometrika, 70(1), 41-55. DOI ↗
Tên gọi khácpanel PSW, panel IPW, longitudinal propensity score weighting, panel inverse probability weightingPSW, inverse probability weighting, IPW, propensity-based weighting
Liên quan56
Tóm tắtPanel Data Propensity Score Weighting (panel PSW) extends inverse probability weighting to longitudinal settings where the same units are observed across multiple time periods. It reweights observations by the inverse of each unit's time-varying probability of receiving treatment, creating a pseudo-population in which treatment is balanced on observed covariates at each period, and then estimates causal effects from repeated-measures data.Propensity score weighting is a causal-inference method that reweights observations so that the covariate distributions of treated and untreated units look exchangeable, enabling unbiased estimation of average treatment effects from observational data. Each unit receives a weight that is the inverse of its probability of receiving the treatment it actually received — a strategy formalised by Rosenbaum and Rubin (1983) and given its efficient semiparametric form by Hirano, Imbens and Ridder (2003).
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ScholarGateSo sánh phương pháp: Panel Data Propensity Score Weighting · Propensity Score Weighting. Truy cập ngày 2026-06-18 từ https://scholargate.app/vi/compare