Calibration estimator of a rare sensitive attribute with poisson distribution

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 a rare sensitive attribute with Poisson distribution which suggested by Land et al. (2012) using auxiliary information associated with the variable of interest. In the calibration procedure, we can use auxiliary information such as socio-demographical variables for the respondents of rare sensitive attribute questions from an external source, and then this estimator can be improved with respect to the problems of non coverage or non response. From the efficiency comparison study, we show that the calibrated Poisson RR estimators are more efficient than that of Land et al. (2012), when the known population cell and marginal counts of auxiliary information are used for the calibration procedure.

    Original languageEnglish (US)
    Pages (from-to)855-871
    Number of pages17
    JournalCommunications in Statistics - Theory and Methods
    Volume44
    Issue number4
    DOIs
    StatePublished - Feb 16 2015

    Bibliographical note

    Funding Information:
    This work was supported by the Dongguk University Research Fund of 2014.

    Publisher Copyright:
    © 2015 Taylor and Francis Group, LLC.

    Keywords

    • Calibration
    • Poisson distribution
    • Post-stratification
    • Randomized response model
    • Rare sensitive attribute

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