258 citations · 345 across the 15 of their papers we have counts for
4 papers · 1 filter
Program Targeting with Machine Learning and Mobile Phone Data: Evidence from an Anti-Poverty Intervention in Afghanistan
Emily Aiken, Guadalupe Bedoya, Joshua Blumenstock +1
Can mobile phone data improve program targeting? By combining rich survey data from a "big push" anti-poverty program in Afghanistan with detailed mobile phone logs from program be…
(Machine) Learning What Policies Value
Daniel Björkegren, Joshua E. Blumenstock, Samsun Knight
When a policy prioritizes one person over another, is it because they benefit more, or because they are preferred? This paper develops a method to uncover the values consistent wit…
Micro-Estimates of Wealth for all Low- and Middle-Income Countries
Guanghua Chi, Han Fang, Sourav Chatterjee +1
Many critical policy decisions, from strategic investments to the allocation of humanitarian aid, rely on data about the geographic distribution of wealth and poverty. Yet many pov…
Gamblers Learn from Experience
Joshua E. Blumenstock, Matthew Olckers
Mobile phone-based sports betting has exploded in popularity in many African countries. Commentators worry that low-ability gamblers will not learn from experience, and may rely on…