Microestimates of wealth for all low- and middle-income countries

Guanghua Chi, Han Fang, Sourav Chatterjee and Joshua Blumenstock
Additional contact information
Guanghua Chi: a School of Information, University of California, Berkeley, CA 94720;
Han Fang: b Meta, Inc., Menlo Park, CA 94025
Sourav Chatterjee: b Meta, Inc., Menlo Park, CA 94025

Proceedings of the National Academy of Sciences, 2022, vol. 119, issue 3, e2113658119

Abstract: Many critical policy decisions rely on data about the geographic distribution of wealth and poverty, yet only half of all countries have access to adequate data on poverty. This paper creates a complete and publicly available set of microestimates of the distribution of relative poverty and wealth across all 135 low- and middle-income countries. We provide extensive evidence of the accuracy and validity of the estimates and also provide confidence intervals for each microestimate to facilitate responsible downstream use. These methods and maps provide a set of tools to study economic development and growth, guide interventions, monitor and evaluate policies, and track the elimination of poverty worldwide.

Keywords: poverty; machine learning; low- and middle-income countries; poverty maps; sustainable development (search for similar items in EconPapers)
Date: 2022
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Citations: View citations in EconPapers (7)

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Related works:
Working Paper: Micro-Estimates of Wealth for all Low- and Middle-Income Countries (2021)
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Persistent link: https://EconPapers.repec.org/RePEc:nas:journl:v:119:y:2022:p:e2113658119

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