Skip to Main Navigation

Program Targeting with Machine Learning and Mobile Phone Data : Evidence from an Anti-Poverty Intervention in Afghanistan (الإنجليزية)

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...
انظر المزيد

تفاصيل

تنزيل الملفات

تقرير كامل

نسخة رسمية من الوثيقة (قد تضم توقيعات، الخ)


This document is being processed or is not available.