The main insights of this note are as follows: first, to significantly reduce poverty higher budgets for safety net interventions are needed, and expanding coverage is far more important than fine-tuning targeting methods. After geographical targeting, most PMT and CBT methods perform close to a random allocation of benefits when trying to identify food insecure households. While PMT consistently outperforms CBT in identifying households with the...
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2022/10/01
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Brief
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177790
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1
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2023/07/06
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Disclosed
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Targeting in Ultra-Poor Settings : Evidence from Six Countries in Rural Sahel
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Citation
Pascale Schnitzer; Anne Della Guardia; Milli Lake.
Targeting in Ultra-Poor Settings : Evidence from Six Countries in Rural Sahel (English). SASPP Policy Note Washington, D.C. : World Bank Group. http://documents.worldbank.org/curated/en/099456311162263177