Record level measures of disclosure risk for survey microdata

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