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Record level measures of disclosure risk for survey microdata

By Elsayed A.H. Elamir and Chris J. Skinner

Abstract

Measures of disclosure risk at the record level have a variety of potential uses in statistical disclosure control for microdata. We propose a record level measure of disclosure risk, which is the probability that a unique match between a microdata record and a population unit is correct. For discrete key variables subject to no measurement error, we study this measure under the assumption of a Poisson and a Poisson-gamma log-linear model. We apply the approaches to a sample of microdata from the U.K. General Household Survey. The results provide empirical validation of the risk measure

Topics: H Social Sciences (General), HA Statistics
Publisher: Statistics Sweden
Year: 2006
OAI identifier: oai:eprints.lse.ac.uk:39103
Provided by: LSE Research Online
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