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routineAI & SocietyStatistical Learning2609.02013

What Would it Cost to End Extreme Poverty?

Roshni Sahoo, Joshua Blumenstock, Paul Niehaus, Leo Selker, Stefan Wager

econ.GN stat.ML

Abstract

We study poverty minimization via direct transfers, framing this as a statistical learning problem while retaining the information constraints faced by real-world programs. Using nationally representative household consumption surveys from 34 countries that together account for 76% of the world's poor, we estimate that reducing the poverty rate to 1% (from a baseline of 13%) would cost $211 B nominal per year. This is 4.0 times the corresponding reduction in the aggregate poverty gap, but only 19% of the cost of universal basic income. Extrapolated globally, the results imply a cost of 0.28% of global GDP to (approximately) end extreme poverty.

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Classified with taxonomy v2 on Thu, 3 Sept 2026.

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