Journal of Official Statistics, Vol.22, No.4, 2006. pp. 711–731
Statistical Disclosure Control Using Post Randomisation: Variants and Measures for Disclosure Risk
Ardo van den Hout, Elsayed A.H. Elamir
Abstract:This article discusses the post randomisation method (PRAM) as a method for disclosure control. PRAM protects the privacy of respondents 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 article shows that the distinction between the univariate case and the multivariate case is important. Additionally, the article discusses two measures for disclosure risk when PRAM is applied.
Keywords:Calibration, information loss, misclassification, PRAM
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