Scalable Targeting of Social Protection: When Do Algorithms Out-Perform Surveys and Community Knowledge?
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https://www.nber.org/papers/w33919
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资源简介:
Innovations in big data and algorithms are enabling new approaches to target interventions at scale. We compare the accuracy of three different systems for identifying the poor to receive benefit transfers proxy means-testing, nominations from community members, and an algorithmic approach using
提供机构:
美国国家经济研究局
创建时间:
2025-06-01



