activity
20192026
most citedProgram Targeting with Machine Learning and Mobile Phone Data: Evidence from an Anti-Poverty Intervention in Afghanistan

5 citations · 9 across the 10 of their papers we have counts for

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2 papers · 1 filter

econ.EM2026

Predicting Well-Being with Mobile Phone Data: Evidence from Four Countries

M. Merritt Smith, Emily Aiken, Joshua E. Blumenstock +1

We provide systematic evidence on the potential for estimating household well-being from mobile phone data. Using data from four countries - Afghanistan, Cote d'Ivoire, Malawi, and…

cs.CY2026

On the Meta-Design of Allocation Problems

Unai Fischer-Abaigar, Emily Aiken, Christoph Kern +1

There is an extensive literature that studies how to find optimal policies in resource allocation problems, taking the underlying design parameters that define the allocation, such…