Disaggregating data in household surveys: Using small area estimation methodologies

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cepal.bibLevelDocumento Completo
cepal.callNumberLC/TS.2018/82/Rev.1
cepal.divisionEngStatistics Division
cepal.divisionSpaDivisión de Estadísticas
cepal.docTypeSeries
cepal.jobNumberS2200167_en
cepal.regionalOfficeSantiago
cepal.sdg1
cepal.sdg10
cepal.sdg16
cepal.topicEngFAMILIES
cepal.topicEngINEQUALITY
cepal.topicEngMETHODS AND INTERNATIONAL CLASSIFICATIONS
cepal.topicEngPOVERTY
cepal.topicEngSOCIAL STATISTICS
cepal.topicSpaDESIGUALDAD
cepal.topicSpaESTADÍSTICAS SOCIALES
cepal.topicSpaFAMILIAS
cepal.topicSpaMÉTODOS Y CLASIFICACIONES INTERNACIONALES
cepal.topicSpaPOBREZA
cepal.workareaEngSTATISTICS
cepal.workareaSpaESTADÍSTICAS
dc.contributor.authorMolina, Isabel
dc.coverage.spatialEngLATIN AMERICA AND THE CARIBBEAN
dc.coverage.spatialSpaAMERICA LATINA Y EL CARIBE
dc.date.accessioned2022-09-06T13:40:34Z
dc.date.available2022-09-06T13:40:34Z
dc.date.issued2022-09-06
dc.description.abstractHousehold surveys are widely used as a tool for obtaining information on people's socio-economic status and well-being. However, the accuracy of household survey estimates decreases significantly when it comes to making inferences for population groups who represent disaggregations for which the survey was not designed. It is possible, in this context, to use estimation processes that combine information from household surveys with existing auxiliary information at population level, such as censuses or administrative records. This paper offers a methodological guide to the combination of survey statistical techniques with probabilistic models in order to produce disaggregations for interest groups, known as small area estimation (SAE) techniques.
dc.description.tableOfContentsSummary .-- Introduction .-- I. The problem of data disaggregation (or small-area estimation) .-- II. Common indicators of poverty and inequality .-- III. Direct methods for the disaggregation of poverty data .-- IV. Basic indirect methods for the disaggregation of poverty data .-- V. Model-based indirect methods .-- VI. Application: estimating average income and poverty rates in Montevideo .-- VII. Conclusions.
dc.formatTexto
dc.format.extent101 páginas.
dc.format.mimetypeapplication/pdf
dc.identifier.unSymbolLC/TS.2018/82/Rev.1
dc.identifier.urihttps://hdl.handle.net/11362/48107
dc.language.isoeng
dc.physicalDescription101 p.
dc.publisherECLAC
dc.publisher.placeSantiago
dc.relation.isPartOfSeriesSerie Estudios Estadísticos
dc.relation.isPartOfSeriesNo97
dc.relation.translationLanguagespa
dc.relation.translationLanguagefra
dc.relation.translationRecordDesagregación de datos en encuestas de hogares: metodologías de estimación en áreas pequeñas
dc.relation.translationRecordDésagrégation des données pour les enquêtes auprès des ménages: Utilisation de méthodes d’estimation sur petits domaines
dc.relation.translationUrihttps://hdl.handle.net/11362/44214
dc.relation.translationUrihttps://hdl.handle.net/11362/48630
dc.rights.coarDisponible
dc.subject.unbisEngHOUSEHOLD SURVEYS
dc.subject.unbisEngSTATISTICAL METHODOLOGY
dc.subject.unbisEngSTATISTICS
dc.subject.unbisEngSOCIAL INDICATORS
dc.subject.unbisEngPOVERTY
dc.subject.unbisEngEQUALITY
dc.subject.unbisEngMATHEMATICAL MODELS
dc.subject.unbisEngCASE STUDIES
dc.subject.unbisSpaENCUESTAS DE HOGARES
dc.subject.unbisSpaMETODOLOGIA ESTADISTICA
dc.subject.unbisSpaESTADISTICA
dc.subject.unbisSpaINDICADORES SOCIALES
dc.subject.unbisSpaPOBREZA
dc.subject.unbisSpaIGUALDAD
dc.subject.unbisSpaMODELOS MATEMATICOS
dc.subject.unbisSpaESTUDIOS DE CASOS
dc.titleDisaggregating data in household surveys: Using small area estimation methodologies
dc.type.coarlibro
dc.usergrouppubweb
dspace.entity.typePublication
relation.isAuthorOfPublication0536f8d8-5ae9-4f43-bf30-ef0750c971de
relation.isAuthorOfPublication.latestForDiscovery0536f8d8-5ae9-4f43-bf30-ef0750c971de
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