Small Area Estimation of Monetary Poverty in Mexico Using Satellite Imagery and Machine Learning
Estimates of poverty are an important input into policy formulation in developing countries. The accurate measurement of poverty rates is therefore a first-order problem for development policy. This paper shows that combining satellite imagery with...
| Main Authors: | , , , , |
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| Language: | English English |
| Published: |
World Bank, Washington, DC
2022
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| Subjects: | |
| Online Access: | http://documents.worldbank.org/curated/en/099430309142231728/IDU0660868530404c0414e0bf180797b525682a5 http://hdl.handle.net/10986/38020 |