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Równoważenie entropijne heterogenicznych efektów oddziaływania×Ważenie z wykorzystaniem wyniku skłonności (PSW / IPW)×
DziedzinaWnioskowanie przyczynoweWnioskowanie przyczynowe
RodzinaRegression modelRegression model
Rok powstania2012-20161983 (propensity score); 2003 (efficient IPW estimator)
TwórcaHainmueller (2012) for entropy balancing; Athey & Imbens (2016) for heterogeneous effect estimationRosenbaum & Rubin (propensity score); Hirano, Imbens & Ridder (efficient weighting)
TypCausal inference / heterogeneous effect estimationCausal inference / reweighting
Źródło pierwotneHainmueller, J. (2012). Entropy balancing for causal effects: A multivariate reweighting method to produce balanced samples in observational studies. Political Analysis, 20(1), 25-46. 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 ↗
Inne nazwyHTE entropy balancing, CATE with entropy balancing, heterogeneous effects EB, subgroup entropy balancingPSW, inverse probability weighting, IPW, propensity-based weighting
Pokrewne56
PodsumowanieHeterogeneous Treatment Effect Entropy Balancing combines entropy balancing — a preprocessing step that reweights control units to match the treatment group on covariate moments — with methods that estimate how the treatment effect varies across subgroups or individuals. It produces covariate-balanced weights without parametric propensity models, then uses those weights to estimate conditional average treatment effects (CATEs) across moderating variables.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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  1. v1
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  3. PUBLISHED

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ScholarGatePorównaj metody: Heterogeneous Treatment Effect Entropy Balancing · Propensity Score Weighting. Pobrano 2026-06-19 z https://scholargate.app/pl/compare