Elamir, Elsayed A.H. and Skinner, Chris J. (2006) Record level measures of disclosure risk for survey microdata. Journal of official statistics, 22 (3). pp. 525-539. ISSN 0282-423X
Abstract
Measures of disclosure risk at the record level have a variety of potential uses in statistical disclosure control for microdata. We propose a record level measure of disclosure risk, which is the probability that a unique match between a microdata record and a population unit is correct. For discrete key variables subject to no measurement error, we study this measure under the assumption of a Poisson and a Poisson-gamma log-linear model. We apply the approaches to a sample of microdata from the U.K. General Household Survey. The results provide empirical validation of the risk measure.
| Item Type: | Article |
|---|---|
| Official URL: | http://www.jos.nu/ |
| Additional Information: | © 2006 Statistics Sweden |
| Uncontrolled Keywords: | log-linear model, Poisson-gamma model, population uniqueness, statistical disclosure control |
| Library of Congress subject classification: | H Social Sciences > H Social Sciences (General) H Social Sciences > HA Statistics |
| Sets: | Departments > Statistics |
| Rights: | http://www.lse.ac.uk/library/rights/LSERO.htm |
| URL: | http://eprints.lse.ac.uk/39103/ |
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