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An Empirical Comparison of Some Methods for Disclosure Risk Assessment
Stockholm University, Faculty of Social Sciences, Department of Statistics.
2002 (English)Report (Other academic)
Abstract [en]

With the release of public-use microdata filles it is important to assess the risk of disclosing individual information. A measure of disclosure risk often considered in the literature is the proportion of unique records in the file that are also unique in the population. Various methods based on superpopulation models have been proposed for estimating this quantity using sample data. An empirical comparison of a selection of models applied to three real-life data sets is presented. The general conclusion is that no one model is uniformly best with respect to the risk measure used and that performance varies greatly between di¤erent types of data.

Place, publisher, year, edition, pages
2002. , 27 p.
Series
Research Report / Department of Statistics, Stockholm University, ISSN 0280-7564 ; 2002:8
Keyword [en]
method evaluation; statistical disclosure control; superpopulation; uniqueness
National Category
Probability Theory and Statistics
Research subject
Statistics
Identifiers
URN: urn:nbn:se:su:diva-96548OAI: oai:DiVA.org:su-96548DiVA: diva2:666516
Available from: 2013-11-22 Created: 2013-11-22 Last updated: 2013-11-22

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CiteExportLink to record
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