Can mobile phone data improve program targeting? By combining rich survey data from the baseline of a “big push” anti-poverty program in Afghanistan implemented in 2016 with detailed mobile phone logs from program beneficiaries, this paper studies the extent to which machine learning methods can accurately differentiate ultra-poor households eligible for program benefits from ineligible households. The paper shows that machine learning methods leveraging...
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ПОДРОБНАЯ ИНФОРМАЦИЯ
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2022/12/06
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Рабочий документ в рамках исследования вопросов политики
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WPS10252
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1
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2022/12/06
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Disclosed
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Program Targeting with Machine Learning and Mobile Phone Data : Evidence from an Anti-Poverty Intervention in Afghanistan
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