Publication:
Small Area Estimation of Poverty in Four West African Countries by Integrating Survey and Geospatial Data

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dc.contributor.authorEdochie, Ifeanyi
dc.contributor.authorNewhouse, David
dc.contributor.authorTzavidis, Nikos
dc.contributor.authorSchmid, Timo
dc.contributor.authorFoster, Elizabeth
dc.contributor.authorHernandez, Angela
dc.contributor.authorOuedraogo, Aissatou
dc.contributor.authorSanoh, Aly
dc.contributor.authorSavadogo, Aboudrahyme
dc.date.accessioned2024-09-05T21:18:19Z
dc.date.available2024-09-05T21:18:19Z
dc.date.issued2024-09-05
dc.description.abstractThe paper presents a methodology to generate experimental small area estimates of poverty in four West African countries: Chad, Guinea, Mali, and Niger. Due to the absence of recent census data in these countries, household-level survey data are integrated with grid-level geospatial data, which are used as covariates in model-based estimation. Leveraging geospatial data enables reporting of poverty estimates more frequently at disaggregated administrative levels and makes estimation feasible in areas for which survey data are not available. The paper leverages the availability of a recent census in Burkina Faso for evaluation purposes. Estimates obtained with the same survey instruments and candidate geospatial covariates as the other four countries are compared against estimates obtained using recent census data and an empirical best predictor under a unit-level model. For Burkina Faso, the estimates obtained using geospatial data are highly correlated with the census-based ones in sampled areas but moderately correlated in non-sampled areas. The results demonstrate that in the absence of recent census data, small area estimation with publicly available geospatial covariates isen
dc.identifierhttp://documents.worldbank.org/curated/en/099158209042442519/IDU170f4516f1b8a7146a619630191a7420b4631
dc.identifier.doi10.1596/1813-9450-10892
dc.identifier.urihttps://hdl.handle.net/10986/42122
dc.languageEnglish
dc.language.isoen_US
dc.publisherWashington, DC: World Bank
dc.relation.ispartofseriesPolicy Research Working Paper; 10892
dc.rightsCC BY 3.0 IGO
dc.rights.holderWorld Bank
dc.rights.urihttps://creativecommons.org/licenses/by/3.0/igo/
dc.subjectPOVERTY MEASUREMENT
dc.subjectSMALL AREA ESTIMATION
dc.subjectGEOSPATIAL DATA
dc.subjectNO POVERTY
dc.subjectSDG 1
dc.subjectCHAD
dc.subjectGUINEA
dc.subjectMALI
dc.subjectNIGER
dc.titleSmall Area Estimation of Poverty in Four West African Countries by Integrating Survey and Geospatial Dataen
dc.typeWorking Paper
dspace.entity.typePublication
okr.crossref.titleSmall Area Estimation of Poverty in Four West African Countries by Integrating Survey and Geospatial Data
okr.date.disclosure2024-09-05
okr.date.lastmodified2024-09-04T00:00:00Zen
okr.doctypePolicy Research Working Paper
okr.doctypePublications & Research
okr.docurlhttp://documents.worldbank.org/curated/en/099158209042442519/IDU170f4516f1b8a7146a619630191a7420b4631
okr.guid099158209042442519
okr.identifier.docmidIDU-70f4516f-b8a7-46a6-9630-91a7420b4631
okr.identifier.doi10.1596/1813-9450-10892
okr.identifier.doihttps://doi.org/10.1596/1813-9450-10892
okr.identifier.externaldocumentum34386121
okr.identifier.internaldocumentum34386121
okr.identifier.reportWPS10892
okr.import.id5219
okr.importedtrueen
okr.language.supporteden
okr.pdfurlhttp://documents.worldbank.org/curated/en/099158209042442519/pdf/IDU170f4516f1b8a7146a619630191a7420b4631.pdfen
okr.region.geographicalWest Africa
okr.region.geographicalCentral Africa
okr.sectorSocial Protection
okr.themeInclusive Growth,Mitigation,Economic Policy,Economic Growth and Planning,Environment and Natural Resource Management,Climate change,Adaptation
okr.topicPoverty Reduction::Moving Out Of Poverty
okr.topicPoverty Reduction::Poverty Assessment
okr.topicPoverty Reduction::Poverty Monitoring & Analysis
okr.unitEFI-AFR2-POV-Poverty and Equity (EAWPV)
okr.unitDevelopment Data Group (DECDG)
relation.isSeriesOfPublication26e071dc-b0bf-409c-b982-df2970295c87
relation.isSeriesOfPublication.latestForDiscovery26e071dc-b0bf-409c-b982-df2970295c87
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