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February 2017 Calibration estimation of adjusted Kuk’s randomized response model for sensitive attribute
Chang-Kyoon Son, Jong-Min Kim
Braz. J. Probab. Stat. 31(1): 160-178 (February 2017). DOI: 10.1214/16-BJPS307

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.

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Chang-Kyoon Son. Jong-Min Kim. "Calibration estimation of adjusted Kuk’s randomized response model for sensitive attribute." Braz. J. Probab. Stat. 31 (1) 160 - 178, February 2017. https://doi.org/10.1214/16-BJPS307

Information

Received: 1 January 2015; Accepted: 1 January 2016; Published: February 2017
First available in Project Euclid: 25 January 2017

zbMATH: 1362.62023
MathSciNet: MR3601665
Digital Object Identifier: 10.1214/16-BJPS307

Keywords: adjusted Kuk’s RRT , calibration estimator , post-stratification , randomized response technique

Rights: Copyright © 2017 Brazilian Statistical Association

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Vol.31 • No. 1 • February 2017
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