Publication:
Data Gaps, Data Incomparability, and Data Imputation: A Review of Poverty Measurement Methods for Data-Scarce Environments

dc.contributor.authorCarletto, Calogero
dc.contributor.authorDang, Hai-Anh
dc.contributor.authorJolliffe, Dean
dc.date.accessioned2017-12-21T20:28:21Z
dc.date.available2017-12-21T20:28:21Z
dc.date.issued2017-12
dc.description.abstractThis paper reviews methods that have been employed to estimate poverty in contexts where household consumption data are unavailable or missing. These contexts range from completely missing and partially missing consumption data in cross-sectional household surveys, to missing panel household data. The paper focuses on methods that aim to compare trends and dynamic patterns of poverty outcomes over time. It presents the various methods under a common framework, with pedagogical discussion on the intuition. Empirical illustrations are provided using several rounds of household survey data from Vietnam. Furthermore, the paper provides a practical guide with detailed instructions on computer programs that can be used to implement the reviewed techniques.en
dc.identifierhttp://documents.worldbank.org/curated/en/551171513690220305/Data-gaps-data-incomparability-and-data-imputation-a-review-of-poverty-measurement-methods-for-data-scarce-environments
dc.identifier.urihttps://hdl.handle.net/10986/29074
dc.languageEnglish
dc.publisherWorld Bank, Washington, DC
dc.relation.ispartofseriesPolicy Research Working Paper;No. 8282
dc.rightsCC BY 3.0 IGO
dc.rights.holderWorld Bank
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/igo
dc.subjectPOVERTY MEASUREMENT
dc.subjectWEALTH INDEX
dc.subjectSYNTHETIC PANELS
dc.subjectHOUSEHOLD SURVEYS
dc.subjectCONSUMPTION
dc.subjectIMPUTATION
dc.subjectMOBILITY
dc.subjectPOVERTY
dc.titleData Gaps, Data Incomparability, and Data Imputationen
dc.title.subtitleA Review of Poverty Measurement Methods for Data-Scarce Environmentsen
dc.typeWorking Paperen
dc.typeDocument de travailfr
dc.typeDocumento de trabajoes
dspace.entity.typePublication
okr.date.disclosure2017-12-19
okr.doctypePublications & Research
okr.doctypePublications & Research::Policy Research Working Paper
okr.docurlhttp://documents.worldbank.org/curated/en/551171513690220305/Data-gaps-data-incomparability-and-data-imputation-a-review-of-poverty-measurement-methods-for-data-scarce-environments
okr.guid551171513690220305
okr.identifier.doi10.1596/1813-9450-8280
okr.identifier.externaldocumentum090224b085464801_1_0
okr.identifier.internaldocumentum29285218
okr.identifier.reportWPS8282
okr.importedtrueen
okr.language.supporteden
okr.pdfurlhttp://documents.worldbank.org/curated/en/551171513690220305/pdf/WPS8282.pdfen
okr.region.administrativeEast Asia and Pacific
okr.region.countryViet Nam
okr.statistics.combined3941
okr.statistics.dr551171513690220305
okr.statistics.drstats3364
okr.topicPoverty Reduction::Living Standards
okr.topicPoverty Reduction::Poverty Assessment
okr.topicPoverty Reduction::Poverty Lines
okr.topicPoverty Reduction::Poverty Monitoring & Analysis
okr.unitDevelopment Data Group, Development Economics
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