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How privacy may be protected in optional randomized response surveys

Author

Listed:
  • 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 .)

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.

Suggested Citation

  • Pal Sanghamitra & Chaudhuri Arijit & Patra Dipika, 2020. "How privacy may be protected in optional randomized response surveys," Statistics in Transition New Series, Polish Statistical Association, vol. 21(2), pages 61-87, June.
    • Handle: RePEc:vrs:stintr:v:21:y:2020:i:2:p:61-87:n:4
    DOI: 10.21307/stattrans-2020-014
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    References listed on IDEAS

    as
    1. Arijit Chaudhuri & Tasos Christofides & Amitava Saha, 2009. "Protection of privacy in efficient application of randomized response techniques," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 18(3), pages 389-418, August.
    2. Kuo-Chung Huang, 2008. "Estimation for sensitive characteristics using optional randomized response technique," Quality & Quantity: International Journal of Methodology, Springer, vol. 42(5), pages 679-686, October.
    Full references (including those not matched with items on IDEAS)

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