A Statistical Approach to Provide Individualized Privacy for Surveys

Fernando Esponda, Kael Huerta and Victor M Guerrero

PLOS ONE, 2016, vol. 11, issue 1, 1-14

Abstract: In this paper we propose an instrument for collecting sensitive data that allows for each participant to customize the amount of information that she is comfortable revealing. Current methods adopt a uniform approach where all subjects are afforded the same privacy guarantees; however, privacy is a highly subjective property with intermediate points between total disclosure and non-disclosure: each respondent has a different criterion regarding the sensitivity of a particular topic. The method we propose empowers respondents in this respect while still allowing for the discovery of interesting findings through the application of well-known inferential procedures.

Date: 2016
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Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:plo:pone00:0147314

DOI: 10.1371/journal.pone.0147314

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