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• W2566701672 abstract "Proxy-means tests (PMTs) are popular for poverty-targeting with imperfect information. In a widely-used version, a regression for log consumption calibrates a PMT score based on covariates, which is then implemented for targeting out-of-sample. The performance of various PMT methods is assessed using data for nine African countries. Standard PMTs help filter out the non-poor, but exclude many poor people, thus diminishing the impact on poverty. Poverty-focused econometric methods such as using quantile regression generally do better. We also characterize the optimal informationally-feasible solution for poverty targeting and compare it to econometric methods. Even with a budget sufficient to eliminate poverty with full information, none of the targeting methods studied bring the poverty rate below about three-quarters of its initial value. The prevailing methods are particularly deficient in reaching the poorest. A basic-income scheme or transfers using a simple demographic scorecard often do as well, or even better, in reducing poverty." @default.
• W2566701672 created "2017-01-06" @default.
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• W2566701672 date "2018-09-01" @default.
• W2566701672 modified "2023-10-14" @default.
• W2566701672 title "A poor means test? Econometric targeting in Africa" @default.
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• W2566701672 doi "https://doi.org/10.1016/j.jdeveco.2018.05.004" @default.
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