Statistical Disclosure Control using Post Randomisation: Variants and Measures for Disclosure Risk

This paper discusses the post randomisation method (PRAM) as a method for disclosure control. PRAM protects the privacy of respondent by misclassifying specific variables before data are released to researchers outside the statistical agency. Two variants of the initial idea of PRAM are discussed concerning the information about the misclassification that is given along with the released data. The first variant concerns calibration probabilities and the second variant concerns misclassification proportions. The paper shows that the distinction between the univariate case and multivariate case is important. Additionally, the paper discusses two measures for disclosure risk when PRAM is applied