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Default Priors Based on Pseudo-Likelihoods for the Poisson-GPD Model Read chapter Read first chapter

2013 | OriginalPaper | Chapter

26. Scrambled Response Models Based on Auxiliary Variables

Authors : Pier Francesco Perri, Giancarlo Diana

Published in: Advances in Theoretical and Applied Statistics

Publisher: 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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previous chapter Spatial Misalignment Models for Small Area Estimation: A Simulation Study
next chapter Using Auxiliary Information and Nonparametric Methods in Weighting Adjustments
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Metadata
Title
Scrambled Response Models Based on Auxiliary Variables
Authors
Pier Francesco Perri
Giancarlo Diana
Copyright Year
2013
Publisher
Springer Berlin Heidelberg
Book
Advances in Theoretical and Applied Statistics

Print ISBN: 978-3-642-35587-5

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

Copyright Year: 2013

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

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