Do randomized-response designs eliminate response biases? An empirical study of non-compliance behavior

Ulf Böckenholt*, Sema Barlas, Peter G M van der Heijden

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

26 Scopus citations

Abstract

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.

Original languageEnglish (US)
Pages (from-to)377-392
Number of pages16
JournalJournal of Applied Econometrics
Volume24
Issue number3
DOIs
StatePublished - Apr 2009

ASJC Scopus subject areas

  • Social Sciences (miscellaneous)
  • Economics and Econometrics

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