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...
See More
DETAILS
-
2022/10/01
-
Brief
-
177790
-
1
-
2023/07/06
-
Disclosed
-
Targeting in Ultra-Poor Settings : Evidence from Six Countries in Rural Sahel
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