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Estimating Poverty for Refugee Populations: Can Cross-Survey Imputation Methods Substitute for Data Scarcity?

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dc.contributor.authorDang, Hai-Anh H.
dc.contributor.authorVerme, Paolo
dc.date.accessioned2019-12-13T21:36:16Z
dc.date.available2019-12-13T21:36:16Z
dc.date.issued2019-12
dc.description.abstractThe increasing growth of forced displacement worldwide has led to the stronger interest of various stakeholders in measuring poverty among refugee populations. However, refugee data remain scarce, particularly in relation to the measurement of income, consumption, or expenditure. This paper offers a first attempt to measure poverty among refugees using cross-survey imputations and administrative and survey data collected by the United Nations High Commissioner for Refugees in Jordan. Employing a small number of predictors currently available in the United Nations High Commissioner for Refugees registration system, the proposed methodology offers out-of-sample predicted poverty rates. These estimates are not statistically different from the actual poverty rates. The estimates are robust to different poverty lines, they are more accurate than those based on asset indexes or proxy means tests, and they perform well according to targeting indicators. They can also be obtained with relatively small samples. Despite these preliminary encouraging results, it is essential to replicate this experiment across countries using different data sets and welfare aggregates before validating the proposed method.en
dc.identifierhttp://documents.worldbank.org/curated/en/271261575398109919/Estimating-Poverty-for-Refugee-Populations-Can-Cross-Survey-Imputation-Methods-Substitute-for-Data-Scarcity
dc.identifier.doi10.1596/1813-9450-9076
dc.identifier.urihttps://hdl.handle.net/10986/33020
dc.languageEnglish
dc.publisherWorld Bank, Washington, DC
dc.relation.ispartofseriesPolicy Research Working Paper;No. 9076
dc.rightsCC BY 3.0 IGO
dc.rights.holderWorld Bank
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/igo
dc.subjectPOVERTY
dc.subjectPOVERTY MEASUREMENT
dc.subjectPOVERTY ESTIMATE
dc.subjectREFUGEES
dc.subjectDATA SCARCITY
dc.titleEstimating Poverty for Refugee Populationsen
dc.title.subtitleCan Cross-Survey Imputation Methods Substitute for Data Scarcity?en
dc.typeWorking Paperen
dc.typeDocument de travailfr
dc.typeDocumento de trabajoes
dspace.entity.typePublication
okr.crossref.titleEstimating Poverty for Refugee Populations: Can Cross-Survey Imputation Methods Substitute for Data Scarcity?
okr.date.disclosure2019-12-03
okr.doctypePublications & Research
okr.doctypePublications & Research::Policy Research Working Paper
okr.docurlhttp://documents.worldbank.org/curated/en/271261575398109919/Estimating-Poverty-for-Refugee-Populations-Can-Cross-Survey-Imputation-Methods-Substitute-for-Data-Scarcity
okr.guid271261575398109919
okr.identifier.doi10.1596/1813-9450-9076
okr.identifier.doihttps://doi.org/10.1596/1813-9450-9076
okr.identifier.externaldocumentum090224b0873a07ed_1_0
okr.identifier.internaldocumentum31606888
okr.identifier.reportWPS9076
okr.importedtrueen
okr.language.supporteden
okr.pdfurlhttp://documents.worldbank.org/curated/en/271261575398109919/pdf/Estimating-Poverty-for-Refugee-Populations-Can-Cross-Survey-Imputation-Methods-Substitute-for-Data-Scarcity.pdfen
okr.region.administrativeMiddle East and North Africa
okr.region.countrySyrian Arab Republic
okr.statistics.combined1851
okr.statistics.dr271261575398109919
okr.statistics.drstats1546
okr.topicConflict and Development::Conflict and Fragile States
okr.topicPoverty Reduction::Living Standards
okr.topicPoverty Reduction::Migration and Development
okr.topicPoverty Reduction::Poverty Assessment
okr.topicPoverty Reduction::Poverty Monitoring & Analysis
okr.unitDevelopment Data Group, Development Economics; and the Fragility, Conflict and Violence Global Theme
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relation.isAuthorOfPublicationc0b4c90d-8da0-5e41-b52e-aaa2bcb4c18e
relation.isAuthorOfPublication.latestForDiscovery6294aeeb-2ae1-5d24-908b-ad69a09277e4
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