Equality-Minded Treatment Choice

Equality-Minded Treatment Choice
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平等的治疗选择

DOI:
10.1080/07350015.2019.1688664
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发表时间:
2017
影响因子:
3
通讯作者:
A. Tetenov
A. Tetenov
中科院分区:
数学2区
文献类型:
--
作者:
T. Kitagawa;A. Tetenov

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摘要在经济学上进行许多随机实验和准实验研究的目的是为旨在提高收入和减少经济不平等的政策提供信息。如果扩大经济不平等和处理后的收入重新分配是不可行的,那么最大化个人收入的总和可能是不可取的。本文开发了一种方法来估计基于可观察到的个体协变量的最佳治疗分配政策,而政策目标是最大化依赖平等的依赖等级的社会福利功能,这给具有较低成果的个人带来了更高的权重。我们通过在正确约束的策略集上最大化等级依赖性福利的样本类似物来估算最佳策略。我们表明,当知道倾向得分时,我们的估计政策汇总到最大的数据分布中,以统一的速度融合了最大可达到的福利所获得的平均社会福利。我们还表明,这个速率是最小的。我们使用国家JTPA研究的数据提供了我们方法的应用。本文的补充材料可在线获得。
Abstract The goal of many randomized experiments and quasi-experimental studies in economics is to inform policies that aim to raise incomes and reduce economic inequality. A policy maximizing the sum of individual incomes may not be desirable if it magnifies economic inequality and post-treatment redistribution of income is infeasible. This article develops a method to estimate the optimal treatment assignment policy based on observable individual covariates when the policy objective is to maximize an equality-minded rank-dependent social welfare function, which puts higher weight on individuals with lower-ranked outcomes. We estimate the optimal policy by maximizing a sample analog of the rank-dependent welfare over a properly constrained set of policies. We show that the average social welfare attained by our estimated policy converges to the maximal attainable welfare at rate uniformly over a large class of data distributions when the propensity score is known. We also show that this rate is minimax optimal. We provide an application of our method using the data from the National JTPA Study. Supplementary materials for this article are available online.
DOI: 10.1080/01621459.2017.1330204
发表时间: 2018
影响因子: 3.7
作者:
Wang L;Zhou Y;Song R;Sherwood B
通讯作者: Sherwood B