Estimation of a measure of disclosure risk for survey microdata under unequal probability sampling
Estimation of a measure of disclosure risk for survey microdata under unequal probability sampling
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.
confidentiality protection, finite population inference, Poisson sampling, statistical disclosure control, uniqueness
177-180
Skinner, C.J.
48081d82-c596-436e-8846-c9d0a1bf158d
Carter, R.G.
4edd80b0-cdcb-4c71-95ec-b10206e963ff
2003
Skinner, C.J.
48081d82-c596-436e-8846-c9d0a1bf158d
Carter, R.G.
4edd80b0-cdcb-4c71-95ec-b10206e963ff
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), .
Abstract
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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Published date: 2003
Keywords:
confidentiality protection, finite population inference, Poisson sampling, statistical disclosure control, uniqueness
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Local EPrints ID: 34689
URI: http://eprints.soton.ac.uk/id/eprint/34689
ISSN: 0714-0045
PURE UUID: 4190fcf1-3372-4a57-b0b7-f854a89c8113
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Date deposited: 17 May 2006
Last modified: 11 Dec 2021 15:25
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Author:
C.J. Skinner
Author:
R.G. Carter
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