Publication: Targeting in Ultra-Poor Settings: Evidence from Six Countries in Rural Sahel
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Date
2022-10-21
ISSN
Published
2022-10-21
Author(s)
Abstract
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 lowest consumption, differences are
small when distances to the poverty line are considered.
While non-beneficiaries experience significant indirect
economic benefits from the program, there is mixed and
limited evidence on social cohesion and fairness perceptions
of targeting methods. Finally, costs are relatively minor as
a share of total resources transferred. The policy note
concludes with policy and research implications for contexts
with high poverty rates, low inequality levels, and
insufficient budgets.
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Citation
“Schnitzer, Pascale; Guardia, Anne Della; Lake, Milli. 2022. Targeting in Ultra-Poor Settings: Evidence from Six Countries in Rural Sahel. SASPP Operational and Policy Notes;. © World Bank, Washington, DC. http://hdl.handle.net/10986/38319 License: CC BY 3.0 IGO.”