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http://hdl.handle.net/10419/31918
  

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dc.contributor.authorDrechsler, Jörgen_US
dc.contributor.authorDundler, Agnesen_US
dc.contributor.authorBender, Stefanen_US
dc.contributor.authorRässler, Susanneen_US
dc.contributor.authorZwick, Thomasen_US
dc.date.accessioned2007-03-08en_US
dc.date.accessioned2010-05-14T11:23:07Z-
dc.date.available2010-05-14T11:23:07Z-
dc.date.issued2007en_US
dc.identifier.urihttp://hdl.handle.net/10419/31918-
dc.description.abstractFor micro-datasets considered for release as scientific or public use files, statistical agencies have to face the dilemma of guaranteeing the confidentiality of survey respondents on the one hand and offering sufficiently detailed data on the other hand. For that reason a variety of methods to guarantee disclosure control is discussed in the literature. In this paper, we present an application of Rubin's (1993) idea to generate synthetic datasets from existing confidential survey data for public release. We use a set of variables from the 1997 wave of the German IAB Establishment Panel and evaluate the quality of the approach by comparing results from an analysis by Zwick (2005) with the original data with the results we achieve for the same analysis run on the dataset after the imputation procedure. The comparison shows that valid inferences can be obtained using the synthetic datasets in this context, while confidentiality is guaranteed for the survey participants.en_US
dc.language.isoengen_US
dc.publisherIAB Nürnbergen_US
dc.relation.ispartofseriesIAB discussion paper 2007,11en_US
dc.subject.jelC11en_US
dc.subject.jelC13en_US
dc.subject.jelC49en_US
dc.subject.jelC53en_US
dc.subject.ddc330en_US
dc.subject.keywordIAB-Betriebspanelen_US
dc.subject.keywordDatensicherheiten_US
dc.subject.keywordDatenschutzen_US
dc.subject.keywordDatenaufbereitungen_US
dc.subject.keywordAnonymitäten_US
dc.subject.stwMikrodatenen_US
dc.subject.stwPanelen_US
dc.subject.stwDatenschutzen_US
dc.subject.stwVertrauenen_US
dc.subject.stwStatistik der Unternehmen und Arbeitsstättenen_US
dc.subject.stwDeutschlanden_US
dc.titleA new approach for disclosure control in the IAB Establishment Panel: multiple imputation for a better data accessen_US
dc.typeWorking Paperen_US
dc.identifier.ppn525549358en_US
dc.rightshttp://www.econstor.eu/dspace/Nutzungsbedingungen-
Appears in Collections:IAB-Discussion Paper, Institut für Arbeitsmarkt- und Berufsforschung (IAB)

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