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hal.structure.identifierPassau University
hal.structure.identifierGIGA German Institute of Global and Area Studies
dc.contributor.authorDodlova, Marina*
hal.structure.identifierGIGA German Institute of Global and Area Studies
hal.structure.identifierUniversity of Goettingen
dc.contributor.authorGiolbas, Anna*
hal.structure.identifierGIGA German Institute of Global and Area Studies
hal.structure.identifierUniversity of Goettingen
dc.contributor.authorLay, Jann*
dc.date.accessioned2019-01-10T10:49:58Z
dc.date.available2019-01-10T10:49:58Z
dc.date.issued2017
dc.identifier.urihttps://basepub.dauphine.fr/handle/123456789/18361
dc.language.isoenen
dc.subjectSocial assistanceen
dc.subjectSocial transfersen
dc.subjectSocial policy designen
dc.subjectDeveloping countriesen
dc.subjectNew dataen
dc.subject.ddc334en
dc.subject.classificationjelI.I3.I38en
dc.titleNon-contributory social transfer programs in developing countries : A new dataset and research agendaen
dc.typeArticle accepté pour publication ou publié
dc.description.abstractenSocial transfer programs in developing countries are designed to contribute to poverty reduction by increasing the income of the poor in order to ensure minimal living standards. In addition, social transfers provide a safety net for the vulnerable, who are typically not covered by contributory social security. The question of how effective such programs are in achieving these aims has been the subject of numerous impact evaluations. However, the optimal design of such programs is still unclear. Even less is known about whether the adoption and implementation of transfer programs is really driven by poverty and neediness or whether other factors also have an influence. To investigate these and other research questions, we have developed a new dataset entitled Non-Contributory Social Transfer Programs (NSTP) in Developing Countries. One advantage of this dataset is that it traces 186 non-contributory programs from 101 countries back in time and presents them in panel form for the period up until 2015. The second advantage is that it contains all the details regarding the various programs’ designs as well as information on costs and coverage in a coded format and thus facilitates both comparative quantitative and in-depth qualitative analyses. While describing the data we discuss a number of examples of how the dataset can be used to explore different issues related to social policies in developing countries. We present suggestive evidence that the adoption of social transfer programs is not based only on pro-poor motives, but rather that social policy choices differ between political regimes.en
dc.relation.isversionofjnlnameEuropean Journal of Political Economy;0176-2680
dc.relation.isversionofjnlvol50en
dc.relation.isversionofjnldate2017-12
dc.relation.isversionofjnlpages141-156en
dc.relation.isversionofdoi10.1016/j.dib.2017.10.066en
dc.relation.isversionofjnlpublisherElsevieren
dc.subject.ddclabelEconomie socialeen
dc.relation.forthcomingnonen
dc.relation.forthcomingprintnonen
dc.description.ssrncandidatenonen
dc.description.halcandidatenonen
dc.description.readershiprechercheen
dc.description.audienceInternationalen
dc.relation.Isversionofjnlpeerreviewedouien
dc.relation.Isversionofjnlpeerreviewedouien
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    Projet européen NOPOOR Enhancing Knowledge for Renewed Policies against Poverty

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