Abstract
PRAM (Post Randomization Method) is a disclosure control method for microdata, introduced in 1997. Unfortunately, PRAM has not yet been applied extensively by statistical agencies in protecting their microdata. This is partly due to the fact that little knowledge is available on the effect of PRAM on disclosure control as well as on the loss of information it induces.
In this paper, we will try to make up for this lack of knowledge, by supplying some empirical information on the behaviour of PRAM. To be able to achieve this, some basic measures for loss of information and disclosure risk will be introduced. PRAM will be applied to one specific microdata file of over 6 million records, using several models in applying the procedure.
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de Wolf, PP. (2006). Risk, Utility and PRAM. In: Domingo-Ferrer, J., Franconi, L. (eds) Privacy in Statistical Databases. PSD 2006. Lecture Notes in Computer Science, vol 4302. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11930242_17
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DOI: https://doi.org/10.1007/11930242_17
Publisher Name: Springer, Berlin, Heidelberg
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