Journal of Official Statistics, Vol.22, No.3, 2006. pp. 525–539
Record Level Measures of Disclosure Risk for Survey Microdata
Elsayed A.H. Elamir and Chris 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.
Keywords:Log-linear model, Poisson-gamma model, population uniqueness, statistical disclosure control
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