Abstract #302104

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JSM 2003 Abstract #302104
Activity Number: 21
Type: Contributed
Date/Time: Sunday, August 3, 2003 : 2:00 PM to 3:50 PM
Sponsor: Section on Survey Research Methods
Abstract - #302104
Title: On Data Swapping for Categorical Data
Author(s): Shanti V. Gomatam*+ and Alan F. Karr
Companies: University of South Florida and National Institute of Statistical Sciences
Address: PO Box 14006, RTP, NC, 27709,
Keywords: statistical disclosure limitation ; utility measures ; risk measures ; confidentiality
Abstract:

Data swapping is a common statistical disclosure limitation method used to protect the confidentiality of data. We consider measures that can be used to quantify distortion in the joint distribution when the variables in the dataset are categorical. These measures, also called utility measures, are applied to study the effect of data swapping for a data set generated from the Current Population Survey database. Their behavior is studied and compared over variation in the swap proportion and variable swapped. We also consider the problem of selecting an optimal data release when considering several swap variables and multiple swap rates. Risk and utility values associated with every post-swap release are traded off to isolate a release frontier which contains the optimal release(s). Current Population Survey data are used to illustrate the technique for categorical data swapping.

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