Fair Policy Targeting

DOI10.1080/01621459.2022.2142591arXiv2005.12395OpenAlexW4311747487MaRDI QIDQ6154028

Jelena Bradic, Unnamed Author

Publication date: 19 March 2024

Published in: Journal of the American Statistical Association (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/2005.12395

zbMATH Keywords

fairnessPareto optimalcausal inferencewelfare programstreatment rules

Mathematics Subject Classification ID

Statistics (62-XX)

Cites Work

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• Exact computation of max weighted score estimators
• Predicting binary outcomes
• Robust inference on average treatment effects with possibly more covariates than observations
• Minimax regret treatment choice with covariates or with limited validity of experiments
• Statistical treatment choice based on asymmetric minimax regret criteria
• Inferring welfare maximizing treatment assignment under budget constraints
• An algorithm for linear programming which requires \(O(((m+n)n^ 2+(m+n)^{1.5}n)L)\) arithmetic operations
• Maximum score estimation of the stochastic utility model of choice
• Estimation of best predictors of binary response
• Introduction to empirical processes and semiparametric inference
• Fairness through awareness
• WELFARE ECONOMICS AND EXISTENCE OF AN EQUILIBRIUM FOR A COMPETITIVE ECONOMY
• Semiparametric efficiency bounds
• Asymptotics for Statistical Treatment Rules
• Who Should Be Treated? Empirical Welfare Maximization Methods for Treatment Choice
• Optimal Dynamic Treatment Regimes
• Semiparametric Efficiency in Multivariate Regression Models with Missing Data
• Policy Learning With Observational Data
• Model Selection for Treatment Choice: Penalized Welfare Maximization

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