Combining satellite imagery andmachine learning to predict poverty

Reliable data on economic livelihoods remain scarce in the developing world, hampering effortsto study these outcomes and to design policies that improve them. Here we demonstrate anaccurate, inexpensive, and scalable method for estimating consumption expenditure and assetwealth from high-resolution satellite…
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