The paper introduces methods to estimate a policy that achieves a pre-defined, outcome-oriented target and accounts for potential spillover effects in a block due to partial interference. Specifically, our policy, which we call the minimum resource threshold policy (MRTP), suggests the minimum fraction of treated units required within a block to meet or exceed the target level of the outcome. We estimate the MRTP from empirical risk minimization associated with a novel, nonparametric, doubly robust loss function. We then characterize the statistical property of the estimated MRTP in terms of the excess risk bound. We apply our methodology to design a water, sanitation, and hygiene allocation policy for Senegal with the goal of increasing the proportion of households with no children experiencing diarrhea to a level exceeding a specified threshold. Our policy outperforms competing policies and offers new approaches to design allocation policies, especially in international development for communicable diseases.

翻译：本文提出了估计一种策略的方法，该策略能够实现预先定义的结果导向目标，并考虑分部中因部分干扰而产生的潜在溢出效应。具体而言，我们提出的策略称为最小资源阈值策略（MRTP），它建议分部内需要处理单位的最小比例，以使得结果达到或超过目标水平。我们通过一种新颖的非参数双重稳健损失函数相关的经验风险最小化来估计MRTP，进而以超额风险界的形式刻画了估计MRTP的统计性质。我们将该方法应用于塞内加尔的水、环境卫生和个人卫生分配策略设计，旨在将无儿童腹泻家庭的比例提高到特定阈值以上。与竞争策略相比，我们的策略表现更优，为设计分配策略提供了新思路，尤其在针对传染性疾病的国际发展领域。