Please use this identifier to cite or link to this item: http://hdl.handle.net/10419/162966
Authors: 
Schleicher, Michael
Souares, Aurélia
Pacere, Athanase Narangoro
Sauerborn, Rainer
Klonner, Stefan
Year of Publication: 
2016
Series/Report no.: 
Discussion Paper Series 623
Abstract: 
Targeting of national anti-poverty programs in low-income countries commonly relies on statistical procedures involving household-level survey data, while small-scale poverty-alleviation programs often employ so-called community-based targeting, where village communities themselves identify program beneficiaries. Combining data from community-based targeting exercises in north-western Burkina Faso with household-level survey data, we compare the targeting accuracy of community-based targeting with several statistical procedures when the program's purpose is to target consumption-poor households. We find that the community-based assessment targets a similar share of consumption-poor households as the best-performing statistical procedures which are not calibrated with household-level consumption data. Community-based targeting performs relatively better in urban than in rural areas and is not at a disadvantage in larger or more heterogeneous communities. In a cost-benefit analysis we find that in our sub-Saharan African context community-based targeting is far more cost-effective than any statistical procedure for common amounts of welfare program benefits.
Subjects: 
Targeting
Community-based Targeting
Welfare Programs
Poverty
Community Wealth Rankings
Proxy-means Testing
JEL: 
G22
I13
I38
O15
Persistent Identifier of the first edition: 
Document Type: 
Working Paper
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