How privacy may be protected in optional randomized response surveys

Pal Sanghamitra (), Chaudhuri Arijit () and Patra Dipika ()
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Pal Sanghamitra: Department of Statistics, West Bengal State University, West Bengal, India .
Chaudhuri Arijit: Applied Statistics Unit, Indian Statistical Institute, Kolkata, India .
Patra Dipika: Department of Statistics, West Bengal State University, West Bengal, India .

Statistics in Transition New Series, 2020, vol. 21, issue 2, 61-87

Abstract: There are materials in literature about how privacy on stigmatizing features like alcoholism, history of tax-evasion, or testing positive in AIDS-related testing may be partially protected by a proper application of randomized response techniques (RRT). The paper demonstrates what amendments are necessary for this approach while applying optional RRTs covering qualitative characteristics, permitting a sampled respondent either to directly reveal sensitive data or choose a randomized response respectively with complementary probabilities. Only a few standard RRTs are illustrated in the text.

Keywords: 62D05; protection of privacy; randomized response; sensitive issues; Warner and other techniques. (search for similar items in EconPapers)
Date: 2020
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Persistent link: https://EconPapers.repec.org/RePEc:vrs:stintr:v:21:y:2020:i:2:p:61-87:n:4

DOI: 10.21307/stattrans-2020-014

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