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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.
Dokumententyp: | Arbeitspapier |
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Name der Reihe: | Discussion Paper Series, University of Heidelberg, Department of Economics |
Band: | 0623 |
Ort der Veröffentlichung: | Heidelberg |
Erstellungsdatum: | 22 Nov. 2016 14:22 |
Erscheinungsjahr: | November 2016 |
Seitenanzahl: | 59 |
Institute/Einrichtungen: | Fakultät für Wirtschafts- und Sozialwissenschaften > Alfred-Weber Institut |
DDC-Sachgruppe: | 330 Wirtschaft |
Freie Schlagwörter: | Targeting, Community-based Targeting, Welfare Programs, Poverty, Community Wealth Rankings, Proxy-means Testing |
Schriftenreihe: | Discussion Paper Series / University of Heidelberg, Department of Economics |