Calibration estimation of adjusted Kuk’s randomized response model for sensitive attribute

Chang Kyoon Son, Jong Min Kim

    Research output: Contribution to journalArticlepeer-review

    1 Scopus citations

    Abstract

    In this paper, we consider the calibration procedure for Su et al.’s [Sociol. Methods Res. 44 (2014) DOI:10.1177/0049124114554459] adjusted Kuk randomized response (RR) technique by using auxiliary information such as gender or age group of respondents associated with the variable of interest. Our proposed calibration method can overcome the problems such as noncoverage and nonresponse. From the efficiency comparison study, we show that the calibrated adjusted Kuk’s RR estimators are more efficient than that of Su et al. [Sociol. Methods Res. 44 (2014) DOI:10.1177/0049124114554459], when the known population cell and marginal counts of auxiliary information are used for the calibration procedure.

    Original languageEnglish (US)
    Pages (from-to)160-178
    Number of pages19
    JournalBrazilian Journal of Probability and Statistics
    Volume31
    Issue number1
    DOIs
    StatePublished - Feb 2017

    Bibliographical note

    Funding Information:
    This work was supported by the Dongguk University Research Fund of 2012.

    Publisher Copyright:
    © Brazilian Statistical Association, 2017.

    Copyright:
    Copyright 2017 Elsevier B.V., All rights reserved.

    Keywords

    • Adjusted Kuk’s RRT
    • Calibration estimator
    • Post-stratification
    • Randomized response technique

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