Record-level Measures of Disclosure Risk for Survey Microdata
Record-level Measures of Disclosure Risk for Survey Microdata
Measures of disclosure risk at the record level have a variety of potential uses in statistical disclosure control for microdata. We propose a new 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 model and a Poisson-gamma model. Moreover, we apply the approaches to a sample of microdata from the U.K. General Household Survey. The results indicate that the risk measure may be used to establish whether sample unique records are unique in the population.
Southampton Statistical Sciences Research Institute, University of Southampton
Elamir, Elsayed A. H.
6c4d439d-372c-4f65-9aab-27b6e0d2fdcc
Skinner, Chris J.
dec5ef40-49ef-492a-8a1d-eb8c6315b8ce
2004
Elamir, Elsayed A. H.
6c4d439d-372c-4f65-9aab-27b6e0d2fdcc
Skinner, Chris J.
dec5ef40-49ef-492a-8a1d-eb8c6315b8ce
Elamir, Elsayed A. H. and Skinner, Chris J.
(2004)
Record-level Measures of Disclosure Risk for Survey Microdata
(S3RI Methodology Working Papers, M04/02)
Southampton, UK.
Southampton Statistical Sciences Research Institute, University of Southampton
20pp.
Record type:
Monograph
(Project Report)
Abstract
Measures of disclosure risk at the record level have a variety of potential uses in statistical disclosure control for microdata. We propose a new 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 model and a Poisson-gamma model. Moreover, we apply the approaches to a sample of microdata from the U.K. General Household Survey. The results indicate that the risk measure may be used to establish whether sample unique records are unique in the population.
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Published date: 2004
Identifiers
Local EPrints ID: 8175
URI: http://eprints.soton.ac.uk/id/eprint/8175
PURE UUID: 41b99a7a-ec30-4137-9d70-a8c1b491421e
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Date deposited: 11 Jul 2004
Last modified: 15 Mar 2024 04:51
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Contributors
Author:
Elsayed A. H. Elamir
Author:
Chris J. Skinner
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