Decentralized versus statistical targeting of anti-poverty programs: evidence from Burkina Faso
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...
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| Hauptverfasser: | , , , , |
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| Dokumenttyp: | Buch/Monographie Arbeitspapier |
| Sprache: | Englisch |
| Veröffentlicht: |
Heidelberg
University of Heidelberg, Department of Economics
November 22, 2016
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| Schriftenreihe: | Discussion paper series / University of Heidelberg, Department of Economics
no. 623 |
| In: |
Discussion paper series (no. 623)
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| DOI: | 10.11588/heidok.00022223 |
| Schlagworte: | |
| Online-Zugang: | Resolving-System, kostenfrei, Volltext: http://nbn-resolving.de/urn:nbn:de:bsz:16-heidok-222238 Resolving-System, kostenfrei, Volltext: http://hdl.handle.net/10419/162966 Resolving-System, kostenfrei, Volltext: https://doi.org/10.11588/heidok.00022223 Verlag, kostenfrei, Volltext: http://www.ub.uni-heidelberg.de/archiv/22223 Verlag, kostenfrei, Volltext: http://archiv.ub.uni-heidelberg.de/volltextserver/22223/1/schleicher%20souares%20pacere%20Sauerborn%20klonner%202016_dp623.pdf 
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| Verfasserangaben: | Michael Schleicher, Aurélia Souares, Athanase Narangoro Pacere, Rainer Sauerborn, Stefan Klonner |
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| 520 | |a 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. | ||
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