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

Chang Kyoon Son; Jong Min Kim

doi:10.1214/16-BJPS307

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

Chang Kyoon Son, Jong Min Kim

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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 language	English (US)
Pages (from-to)	160-178
Number of pages	19
Journal	Brazilian Journal of Probability and Statistics
Volume	31
Issue number	1
DOIs	https://doi.org/10.1214/16-BJPS307
State	Published - Feb 2017

Bibliographical note

Publisher Copyright:
© Brazilian Statistical Association, 2017.

Keywords

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

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

Abstract

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Keywords

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