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
Full text not available from this repository.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 |
| Divisions: | Statistics |
| Subjects: | H Social Sciences > H Social Sciences (General) H Social Sciences > HA Statistics |
| Date Deposited: | 28 Oct 2011 12:47 |
| Last Modified: | 13 Sep 2024 22:09 |
| URI: | http://eprints.lse.ac.uk/id/eprint/39103 |
Actions (login required)
 |
View Item |
