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Measurement error and statistical disclosure control

Record type: Monograph (Working Paper)

Statistical agencies release microdata to researchers after applying statistical disclosure control (SDC) methods. Noise addition is a perturbative SDC method which is carried out by adding independent random noise to a continuous variable or by misclassifying values of a categorical variable according to a probability mechanism. Because these errors are purposely introduced into the data by the statistical agency, the perturbation parameters are known and can be used by researchers to adjust statistical inference through measurement error models. However, statistical agencies rarely release perturbation parameters and therefore modifications to SDC methods are proposed that a priori ensure valid inferences on perturbed datasets.

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Citation

Shlomo, Natalie (2010) Measurement error and statistical disclosure control , Southampton, GB Southampton Statistical Sciences Research Institute, University of Southampton (S3RI Methodology Working Papers, M10/05).

More information

Published date: 16 July 2010
Keywords: Additive noise, post-randomisation method, reliability ratio

Identifiers

Local EPrints ID: 160659
URI: http://eprints.soton.ac.uk/id/eprint/160659
PURE UUID: 887ac111-2fc8-4b6f-b5db-f00cf0913ce1

Catalogue record

Date deposited: 16 Jul 2010 10:20
Last modified: 18 Jul 2017 12:35

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