Code for: Targeted Treatment Assignment Using Data from Randomized Experiments with Noncompliance
收藏ICPSR2025-01-01 更新2026-04-16 收录
下载链接：
https://www.openicpsr.org/openicpsr/project/228155/version/V1/view
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资源简介：
This project provides code to replicate Targeted Treatment Assignment Using Data from Randomized Experiments with Noncompliance. The data is publicly available at https://www.nber.org/research/data/oregon-health-insurance-experiment-data.<br>The paper studies the estimation and evaluation of targeted treatment assignment policies, where a data-driven prioritization rule is used to determine to whom the treatment is either offered or delivered. We consider a setting where the data come from a randomized experiment with non-compliance.<br>
提供机构：
Kyoto University; Stanford University; University of California, Los Angeles
创建时间：
2025-01-01
