A Decision-Theoretic Approach to Data Disclosure Problems

This paper presents a decision-theoretic approach to data disclosure problems. The approach is innovative because (i) it offers a theoretical framework to develop optimality criteria for the choice of the best form of data release, (ii) it recognizes the different perspectives of the statistical agency and of the users of the data in assessing the extent of disclosure and the quality of the users’ inference associated with different forms of data release. This leads to new measures of disclosure risk and data utility that take into account not only what the users believe they have learned from the data, but also to what extent their inferences are correct.