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<p>In this study, we discuss a new class of estimators under the Optional Enhanced Trust (OET) model that can be used to enhance efficiency in the estimation of the sensitive trait if we have auxiliary information available for all population units. The results of this study show how accounting for lack of trust and the use of auxiliary variables in the RRT models can help improve the overall model performance.</p>

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Estimating Sensitive Variables using Auxiliary Information and Addressing Trust Deficits

  • 期刊论文

  • 发表日期：

    2025年9月12日

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  • Pujita Sapra,
  • Qi Zhang,
  • Sadia Khalil,
  • Sat Gupta

摘要

In this study, we discuss a new class of estimators under the Optional Enhanced Trust (OET) model that can be used to enhance efficiency in the estimation of the sensitive trait if we have auxiliary information available for all population units. The results of this study show how accounting for lack of trust and the use of auxiliary variables in the RRT models can help improve the overall model performance.