Caitlin Brown, Dominique van de Walle, Martin Ravallion, 30 March 2017

Policymakers face challenges when trying to identify the right targets for antipoverty programmes. This column assesses whether the data typically available to policymakers in sub-Saharan Africa are up to the task. Commonly used proxy means tests are found to perform worse than simpler methods in identifying poor households. Moreover, analyses of nutritional status reveal substantial inequality within households, suggesting that household-based measures are not very effective in identifying disadvantaged individuals.

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