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dc.contributor.authorMuller, Christophe
dc.contributor.authorBibi, Sami
dc.date.accessioned2010-06-11T13:36:02Z
dc.date.available2010-06-11T13:36:02Z
dc.date.issued2010
dc.identifier.urihttps://basepub.dauphine.fr/handle/123456789/4335
dc.descriptionLa version éditée est une version révisée de la version working paper attachée.
dc.language.isoenen
dc.subjectTransfersen
dc.subjectPovertyen
dc.subjectTargetingen
dc.subject.ddc334en
dc.subject.classificationjelD12en
dc.subject.classificationjelD63en
dc.subject.classificationjelH53en
dc.subject.classificationjelI32en
dc.subject.classificationjelI38en
dc.titleRefining Targeting against Poverty Evidence from Tunisiaen
dc.typeArticle accepté pour publication ou publié
dc.description.abstractenThis paper introduces a new methodology to target direct transfers against poverty. Our method is based on estimation methods that focus on the poor. Using data from Tunisia, we estimate ‘focused’ transfer schemes that highly improve anti-poverty targeting performances. Post-transfer poverty can be substantially reduced with the new estimation method. In terms of P2, the most popular axiomatically valid poverty indicator, moving from 1.30, the level reached under subsidies, to 0.36, the level reached with the best OLS method, costs about 2.9 percent of GDP. An additional reduction down to 0.25, that is another 30 percent reduction in poverty, requires only a few hours of statistician work. Finally, the obtained levels of under-coverage of the poor is so low that ‘proxy-means’ focused transfer schemes becomes a realistic alternative to price subsidies, likely to avoid social unrest.en
dc.relation.isversionofjnlnameOxford Bulletin of Economics and Statistics
dc.relation.isversionofjnlvol72
dc.relation.isversionofjnlissue3
dc.relation.isversionofjnldate2010
dc.relation.isversionofjnlpages381-410
dc.relation.isversionofdoihttp://dx.doi.org/10.1111/j.1468-0084.2010.00583.x
dc.description.sponsorshipprivateouien
dc.relation.isversionofjnlpublisherWiley
dc.subject.ddclabelEconomie socialeen


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