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2013 | OriginalPaper | Buchkapitel

26. Scrambled Response Models Based on Auxiliary Variables

verfasst von : Pier Francesco Perri, Giancarlo Diana

Erschienen in: Advances in Theoretical and Applied Statistics

Verlag: Springer Berlin Heidelberg

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Abstract

We discuss the problem of obtaining reliable data on a sensitive quantitative variable without jeopardizing respondent privacy. The information is obtained by asking respondents to perturb the response through a scrambling mechanism. A general device allowing for the use of multi-auxiliary variables is illustrated as well as a class of estimators for the unknown mean of a sensitive variable. A number of scrambled response models are shown and others discussed in terms of the efficiency of the estimates and the privacy guaranteed to respondents.

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Titel: Scrambled Response Models Based on Auxiliary Variables
verfasst von: Pier Francesco Perri
Giancarlo Diana
Verlag: Springer Berlin Heidelberg
Buch: Advances in Theoretical and Applied Statistics
Print ISBN: 978-3-642-35587-5

Electronic ISBN: 978-3-642-35588-2

Copyright-Jahr: 2013
DOI: https://doi.org/10.1007/978-3-642-35588-2_26

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