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[journal article]

dc.contributor.authorJauslin, Raphaëlde
dc.contributor.authorTillé, Yvesde
dc.date.accessioned2025-03-12T11:31:27Z
dc.date.available2025-03-12T11:31:27Z
dc.date.issued2023de
dc.identifier.issn0378-3758de
dc.identifier.urihttps://www.ssoar.info/ssoar/handle/document/100681
dc.description.abstractStatistical matching aims to integrate two statistical sources. These sources can be two samples or a sample and the entire population. If two samples have been selected from the same population and information has been collected on different variables of interest, then it is interesting to match the two surveys to analyze, for example, contingency tables or covariances. In this paper, we propose an efficient method for matching two samples that may each contain a weighting scheme. The method matches the records from the two sources. Several variants are proposed in order to create a directly usable file integrating data from both information sources.de
dc.languageende
dc.subject.ddcSozialwissenschaften, Soziologiede
dc.subject.ddcSocial sciences, sociology, anthropologyen
dc.subject.otherauxiliary information; balanced sampling; data integration; distance; unequal probability sampling; EU-SILCde
dc.titleAn efficient approach for statistical matching of survey data through calibration, optimal transport and balanced samplingde
dc.description.reviewbegutachtet (peer reviewed)de
dc.description.reviewpeer revieweden
dc.source.journalJournal of Statistical Planning and Inference
dc.source.volume225de
dc.publisher.countryNLDde
dc.subject.classozErhebungstechniken und Analysetechniken der Sozialwissenschaftende
dc.subject.classozMethods and Techniques of Data Collection and Data Analysis, Statistical Methods, Computer Methodsen
dc.subject.thesozStichprobede
dc.subject.thesozsampleen
dc.subject.thesozDatende
dc.subject.thesozdataen
dc.subject.thesozWahrscheinlichkeitde
dc.subject.thesozprobabilityen
dc.subject.thesozStatistikde
dc.subject.thesozstatisticsen
dc.subject.thesozBefragungde
dc.subject.thesozsurveyen
dc.identifier.urnurn:nbn:de:0168-ssoar-100681-3
dc.rights.licenceCreative Commons - Namensnennung 4.0de
dc.rights.licenceCreative Commons - Attribution 4.0en
ssoar.contributor.institutionFDBde
internal.statusformal und inhaltlich fertig erschlossende
internal.identifier.thesoz10037472
internal.identifier.thesoz10034708
internal.identifier.thesoz10061922
internal.identifier.thesoz10035432
internal.identifier.thesoz10037910
dc.type.stockarticlede
dc.type.documentZeitschriftenartikelde
dc.type.documentjournal articleen
dc.source.pageinfo121-131de
internal.identifier.classoz10105
internal.identifier.journal3302
internal.identifier.document32
internal.identifier.ddc300
dc.identifier.doihttps://doi.org/10.1016/j.jspi.2022.12.003de
dc.description.pubstatusVeröffentlichungsversionde
dc.description.pubstatusPublished Versionen
internal.identifier.licence16
internal.identifier.pubstatus1
internal.identifier.review1
internal.pdf.validfalse
internal.pdf.wellformedtrue
internal.pdf.encryptedfalse


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