Variance Estimation Using Randomized Response Technique

Abstract

Variance estimation is a well-studied topic in survey sampling but not much work has been done in this area in the context of Randomized Response Technique (RRT) models. We propose here some variance estimators for sensitive variables using auxiliary information. We examine the performance of the proposed estimators through a simulation study and through a numerical example.

Keywords

• auxiliary information
• Mean Square Error
• Randomized Response Technique
• respondent privacy
• variance estimation