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Respondent-specific randomized response technique to estimate sensitive proportion

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Patra D., Pal S., Chaudhuri A.

Statistics in Transition new series

2023

vol. 24

issue 4

53-70

In estimating the proportion of people bearing a stigmatizing characteristic in a community of people, randomized response techniques are plentifully available in the literature. They are implemented essentially using boxes of similar cards of two distinguishable types. In this paper, we propose a more general procedure using five different types of cards. A respondent-specific randomized response technique is also proposed, in which respondents are allowed to build up the boxes according to their own choices. An immediate objective for this change is to enhance, sense of protection of privacy of the respondents. But as by-products, higher efficiency in terms of actual coverage percentages of confidence intervals and related features are demonstrated by a simulation study, and superior jeopardy levels against divulgence of personal secrecy are also reported to be achievable. AMS subject classification: 62D05.

How privacy may be protected in optional randomized response surveys

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Pal S., Chaudhuri A., Patra D.

Statistics in Transition new series

2020

vol. 21

issue 2

61-87

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.

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2 Statistics in Transition new series

2 Chaudhuri A.

2 Pal S.

2 Patra D.

1 2023

1 2020

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Respondent-specific randomized response technique to estimate sensitive proportion

How privacy may be protected in optional randomized response surveys