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Estimation of a measure of disclosure risk for survey microdata under unequal probability sampling

Record type: Article

Skinner and Elliot (2002) proposed a simple measure of disclosure risk for survey microdata and showed how to estimate this measure under sampling with equal probabilities. In this paper we show how their results on point estimation and variance estimation may be extended to handle unequal probability sampling. Our approach assumes a Poisson sampling design. Comments are made about the possible impact of departures from this assumption.

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Citation

Skinner, C.J. and Carter, R.G. (2003) Estimation of a measure of disclosure risk for survey microdata under unequal probability sampling Survey Methodology, 29, (2), pp. 177-180.

More information

Published date: 2003
Keywords: confidentiality protection, finite population inference, Poisson sampling, statistical disclosure control, uniqueness

Identifiers

Local EPrints ID: 34689
URI: http://eprints.soton.ac.uk/id/eprint/34689
ISSN: 0714-0045
PURE UUID: 4190fcf1-3372-4a57-b0b7-f854a89c8113

Catalogue record

Date deposited: 17 May 2006
Last modified: 17 Jul 2017 15:49

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Contributors

Author: C.J. Skinner
Author: R.G. Carter

University divisions


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