• Corpus ID: 226222287

Bias-Corrected Crosswise Estimators for Sensitive Inquiries

@article{Atsusaka2020BiasCorrectedCE,
  title={Bias-Corrected Crosswise Estimators for Sensitive Inquiries},
  author={Yuki Atsusaka and Randolph T. Stevenson},
  journal={arXiv: Methodology},
  year={2020}
}
The crosswise model is an increasingly popular survey technique to elicit candid answers from respondents on sensitive questions. We demonstrate, however, that the conventional crosswise estimator for the population prevalence of sensitive attributes is biased toward 0.5 in the presence of inattentive respondents who randomly choose their answers under this design. We propose a simple design-based bias correction procedure and show that our bias-corrected estimator can be easily implemented… 
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