DO RANDOMIZED-RESPONSE DESIGNS ELIMINATE RESPONSE BIASES? AN EMPIRICAL STUDY OF NON-COMPLIANCE BEHAVIOR

被引：29

作者：

Bockenholt, Ulf ^{[1
]}

Barlas, Sema

van der Heijden, Peter G. M. ^{[2
]}

机构：

[1] McGill Univ, Fac Management, Dept Management, Montreal, PQ H3A 1G5, Canada

[2] Univ Utrecht, Dept Methodol & Stat, NL-3508 TC Utrecht, Netherlands

来源：

JOURNAL OF APPLIED ECONOMETRICS | 2009年 / 24卷 / 03期

关键词：

QUESTIONS; MODELS; VALIDATION; INTENTIONS; VALIDITY;

D O I：

10.1002/jae.1052

中图分类号：

F [经济];

学科分类号：

02 ;

摘要：

Out of the toolbox of survey methods for obtaining honest answers to sensitive issues, the method of randomized responses (RR) has proven to be the most effective one. So far, in applications of RR methods it has been assumed that they eliminate response biases. We investigate the validity of this assumption by applying multivariate RR models that allow for different types of response biases. Our data analyses show that RR methods do not eliminate response biases but that they can be modeled in informative ways: accounting for response biases leads to estimates that are at least twice the size of the estimates obtained when response biases are ignored. Copyright (C) 2009 John Wiley & Sons, Ltd.

引用

页码：377 / 392

页数：16

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