arXiv Machine Learning June 9, 2026 By Vanesa Jord\'a, Miguel Ni\~no-Zaraz\'ua

Measuring Poverty and Inequality with Reduced Data: A Machine Learning Approach Using Nigerian Household Data

Read the original on arXiv Machine Learning →

arXiv:2606. 07614v1 Announce Type: new Abstract: Reliable measurement of income and consumption is essential for monitoring poverty and inequality in low- and middle-income countries, yet full household surveys are costly and difficult to implement regularly.

Summary generated by The Flow from the publisher's feed. The full article lives at arXiv Machine Learning.

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