Optimal Design of Experiments in the Presence of Interference
Optimal Design of Experiments in the Presence of Interference
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DOI：
10.1162/rest_a_00716
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发表时间：
2018-12-01
影响因子：
8
通讯作者：
Ozler, Berk
中科院分区：
文献类型：
--
作者：
Baird, Sarah;Bohren, J. Aislinn;Ozler, Berk
当单元之间存在干扰时，即个人的结果取决于小组中其他人的结果时，我们将实验的最佳设计形式化。我们专注于随机饱和设计，两阶段的实验，首先随机治疗饱和的一组，然后个人治疗分配。我们将部分干扰的潜在结果框架映射到具有聚集误差的回归模型，计算随机饱和设计的标准误差，并获得有关最优设计的分析见解。我们发现，检测平均治疗效果的能力下降，正是识别新的治疗和溢出效应的能力。
We formalize the optimal design of experiments when there is interference between units, that is, an individual's outcome depends on the outcomes of others in her group. We focus on randomized saturation designs, two-stage experiments that first randomize treatment saturation of a group, then individual treatment assignment. We map the potential outcomes framework with partial interference to a regression model with clustered errors, calculate standard errors of randomized saturation designs, and derive analytical insights about the optimal design. We show that the power to detect average treatment effects declines precisely with the ability to identify novel treatment and spillover effects.