Brazilian Journal of Probability and Statistics

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

Chang-Kyoon Son and 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.

Article information

Source
Braz. J. Probab. Stat., Volume 31, Number 1 (2017), 160-178.

Dates
Received: January 2015
Accepted: January 2016
First available in Project Euclid: 25 January 2017

Permanent link to this document
https://projecteuclid.org/euclid.bjps/1485334829

Digital Object Identifier
doi:10.1214/16-BJPS307

Mathematical Reviews number (MathSciNet)
MR3601665

Zentralblatt MATH identifier
1362.62023

Keywords
Randomized response technique adjusted Kuk’s RRT calibration estimator post-stratification

Citation

Son, Chang-Kyoon; Kim, Jong-Min. Calibration estimation of adjusted Kuk’s randomized response model for sensitive attribute. Braz. J. Probab. Stat. 31 (2017), no. 1, 160--178. doi:10.1214/16-BJPS307. https://projecteuclid.org/euclid.bjps/1485334829


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