Randomized response surveys: A note on some privacy protection measures

Article type: Research Article

Authors: Diana, Giancarlo^a | Giordan, Marco^b | Perri, Pier Francesco^{c; *}

Affiliations: [a] Department of Statistical Sciences, University of Padova, Padova, Italy | [b] Department for Women's and Children's Health, University of Padova, Padova, Italy | [c] Department of Economics and Statistics, University of Calabria, Arcavacata di Rende, Italy

Correspondence: [*] Corresponding author: Pier Francesco Perri, Department of Economics and Statistics, University of Calabria, Via P. Bucci, 87036 Arcavacata di Rende, Italy. E-mail: pierfrancesco.perri@unical.it.

Abstract: We discuss a number of privacy protection measures in situations where people are asked highly confidential questions concerning a quantitative sensitive variable. Most of the discussion will be devoted to the measures proposed by [8,11,12,30,31] with particular reference to the trade-off between the level of privacy disclosure and the efficiency of the estimates. Determination of the optimal sample size which would allow researchers to attain a predetermined level of efficiency and privacy is also considered.

Keywords: Randomized linear models, respondent privacy, efficiency, sample size

DOI: 10.3233/MAS-2012-0233

Journal: Model Assisted Statistics and Applications, vol. 8, no. 1, pp. 19-28, 2013