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Article type: Research Article
Authors: Bender, Stefana; 1 | Brand, Rutha | Bacher, Johannb
Affiliations: [a] Institute for Employment Research (IAB), Regensburger Str. 104, 90478 Nürnberg, Germany. Tel.: +49 911 179 3082; Fax: +49 911 179 3297; E-mail: Stefan.Bender@iab.de | [b] Department of Sociology at the University of Erlangen-Nuremberg, Findelgasse 7/9, 90402 Nürnberg, Germany. Tel.: +49 911 5302 680; Fax: +49 911 5302 660; E-mail: bacher@wiso.uni-erlangen.de
Note: [1] The life history surve was co-financed by the European Social Found. The research was supported by the grant of the PROCOPE French-German coopreration by the DAAD, project no 00311VG.
Abstract: More and more empirical researchers from universities or research centres would like to use register data collected by statistical agencies or the social security system, because these data can be used for several empirical studies, e.g. the analysis of special groups or quantitative effects of economic policies. Most of the register data required have to be (factually) anonymised before they are disseminated to preserve confidentiality. Therefore re-identification risks for register data are examined by matching a sample of register data with survey data, collected especially for scientific purposes. Three methods were applied: the uniqueness approach, a simple distance estimation and a cluster analysis. The data sets used were two birth cohorts (1964 and 1971) of the German employment statistics (register data) and the German Life History Study. The analysis show that a re-identification of real persons may be possible by a standard-cluster analysis or a simple distance criterion if an intruder has access to additional information. The number of re-identifiable persons is remarkably high although the proportion of re-identifiable persons is less than expected on the basis of the uniqueness-approach.
DOI: 10.3233/SJU-2001-18412
Journal: Statistical Journal of the United Nations Economic Commission for Europe, vol. 18, no. 4, pp. 373-381, 2001
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