Publication: Data Triangulation Strategies to Design a Representative Household Survey of Hosts and Rohingya Displaced in Cox’s Bazar, Bangladesh
dc.contributor.author | Endara, Joaquin | |
dc.contributor.author | Genoni, Maria Eugenia | |
dc.contributor.author | Khan, Afsana Iffat | |
dc.contributor.author | Kosmidou-Bradley, Walker Turnbull | |
dc.contributor.author | Munoz, Juan Eduardo | |
dc.contributor.author | Palaniswamy, Nethra | |
dc.contributor.author | Vishwanath, Tara | |
dc.date.accessioned | 2022-05-13T17:15:07Z | |
dc.date.available | 2022-05-13T17:15:07Z | |
dc.date.issued | 2022-05-11 | |
dc.description.abstract | Obtaining representative information on hosts and displaced populations in a single survey is not straightforward. This paper demonstrates the value of combining traditional and nontraditional sampling frames, geospatial information, and listing exercises to design a representative survey of hosts and Rohingya displaced populations in Cox’s Bazar, Bangladesh. The paper applies innovative segmentation techniques using geospatial data to delimit enumeration areas in the absence of updated cartography. The paper also highlights the importance of listing exercises to inform stratification decisions and update population counts. | en |
dc.identifier | http://documents.worldbank.org/curated/en/099243405112254626/IDU04a159b8401b6704aa30bfb900faf58536d65 | |
dc.identifier.doi | 10.1596/1813-9450-10040 | |
dc.identifier.uri | https://hdl.handle.net/10986/37432 | |
dc.language | English | |
dc.publisher | Washington, DC: World Bank | |
dc.rights | CC BY 3.0 IGO | |
dc.rights.holder | World Bank | |
dc.rights.uri | http://creativecommons.org/licenses/by/3.0/igo | |
dc.subject | DISPLACED POPULATION | |
dc.subject | CARTOGRAPHY | |
dc.subject | MAPS | |
dc.subject | GEOSPACIAL INFORMATION | |
dc.subject | GIS | |
dc.title | Data Triangulation Strategies to Design a Representative Household Survey of Hosts and Rohingya Displaced in Cox’s Bazar, Bangladesh | en |
dc.type | Working Paper | en |
dc.type | Document de travail | fr |
dc.type | Documento de trabajo | es |
dspace.entity.type | Publication | |
okr.date.disclosure | 2022-05-11 | |
okr.date.lastmodified | 2022-05-11T00:00:00Z | en |
okr.doctype | Policy Research Working Paper | |
okr.doctype | Publications & Research | |
okr.docurl | http://documents.worldbank.org/curated/en/099243405112254626/IDU04a159b8401b6704aa30bfb900faf58536d65 | |
okr.guid | 099243405112254626 | |
okr.identifier.doi | 10.1596/1813-9450-10040 | |
okr.identifier.externaldocumentum | 33815268 | |
okr.identifier.internaldocumentum | 33815268 | |
okr.identifier.report | WPS10040 | |
okr.imported | true | en |
okr.language.supported | en | |
okr.pdfurl | http://documents.worldbank.org/curated/en/099243405112254626/pdf/IDU04a159b8401b6704aa30bfb900faf58536d65.pdf | en |
okr.region.country | Bangladesh | |
okr.topic | International Economics and Trade::Economic Geography | |
okr.topic | Science and Technology Development::Earth Sciences & GIS | |
okr.unit | EFI-MNA-POV-Poverty and Equity (EMNPV) | |
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relation.isAuthorOfPublication.latestForDiscovery | 67ecac67-506a-57af-bdc9-ce6115e18157 | |
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