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New Algorithm to Estimate Inequality Measures in Cross-Survey Imputation: An Attempt to Correct the Underestimation of Extreme Values

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dc.contributor.authorBetti, Gianni
dc.contributor.authorMolini, Vasco
dc.contributor.authorMori, Lorenzo
dc.date.accessioned2022-04-22T13:54:10Z
dc.date.available2022-04-22T13:54:10Z
dc.date.issued2022-04
dc.description.abstractThis paper contributes to the debate on ways to improve the calculation of inequality measures in developing countries experiencing severe budget constraints. Linear regression-based survey-to-survey imputation techniques are most frequently discussed in the literature. These are effective at estimating predictions of poverty indicators but are much less accurate with inequality indicators. To demonstrate this limited accuracy, the first part of the paper discusses several simulations using Moroccan Household Budget Surveys and Labor Force Surveys. The paper proposes a method for overcoming these limitations based on an algorithm that minimizes the sum of the squared difference between a certain number of direct estimates of an index and its empirical version obtained from the predicted values. Indeed, when comparing the estimated results with those directly estimated from the original sample, the bias is negligible. Furthermore, the inequality indices for the years for which there are only model estimates, rather than direct information on expenditures, seem to be consistent with Moroccan economic trends.en
dc.identifierhttp://documents.worldbank.org/curated/en/099833304202232000/IDU04786da1d0b37c04df60b7ae0f41688c4262c
dc.identifier.doi10.1596/1813-9450-10013
dc.identifier.urihttps://hdl.handle.net/10986/37329
dc.languageEnglish
dc.publisherWorld Bank,Washington, DC
dc.relation.ispartofseriesPolicy Research Working Paper;10013
dc.rightsCC BY 3.0 IGO
dc.rights.holderWorld Bank
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/igo
dc.subjectINEQUALITY INDICATORS
dc.subjectBIAS REDUCTION
dc.subjectSURVEY-TO-SURVEY IMPUTATION
dc.subjectMOROCCAN LFS
dc.subjectMOROCCAN HBS
dc.subjectPOVERTY ESTIMATION
dc.subjectPOVERTY STATISTICS
dc.subjectPOVERTY INDICATORS
dc.subjectSSIT
dc.subjectPOVERTY MAP
dc.subjectHOUSEHOLD SURVEY
dc.subjectPOVERTY AND INEQUALITY
dc.subjectPOVERTY TRENDS
dc.titleNew Algorithm to Estimate Inequality Measures in Cross-Survey Imputationen
dc.title.subtitleAn Attempt to Correct the Underestimation of Extreme Valuesen
dc.typeWorking Paperen
dc.typeDocument de travailfr
dc.typeDocumento de trabajoes
dspace.entity.typePublication
okr.crossref.titleNew Algorithm to Estimate Inequality Measures in Cross-Survey Imputation: An Attempt to Correct the Underestimation of Extreme Values
okr.date.disclosure2022-04-20
okr.date.doiregistration2025-04-10T10:21:58.012231Z
okr.date.lastmodified2022-04-20T00:00:00Zen
okr.doctypePolicy Research Working Paper
okr.doctypePublications & Research
okr.docurlhttp://documents.worldbank.org/curated/en/099833304202232000/IDU04786da1d0b37c04df60b7ae0f41688c4262c
okr.guid099833304202232000
okr.identifier.doi10.1596/1813-9450-10013
okr.identifier.externaldocumentum33790853
okr.identifier.internaldocumentum33790853
okr.identifier.reportWPS10013
okr.importedtrueen
okr.language.supporteden
okr.pdfurlhttp://documents.worldbank.org/curated/en/099833304202232000/pdf/IDU04786da1d0b37c04df60b7ae0f41688c4262c.pdfen
okr.region.countryMorocco
okr.topicPoverty Reduction::Poverty Assessment
okr.topicPoverty Reduction::Poverty Monitoring & Analysis
okr.topicPoverty Reduction::Small Area Estimation Poverty Mapping
okr.topicPoverty Reduction::Inequality
okr.unitData Production and Methods (DECPM)
relation.isAuthorOfPublicationf86a19b9-9c7d-5180-8883-bd804150a4c2
relation.isAuthorOfPublication.latestForDiscoveryf86a19b9-9c7d-5180-8883-bd804150a4c2
relation.isSeriesOfPublication26e071dc-b0bf-409c-b982-df2970295c87
relation.isSeriesOfPublication.latestForDiscovery26e071dc-b0bf-409c-b982-df2970295c87
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