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A Simple Way to Improve Additive Scrambling Response Models
Abstract
This article considers unbiased estimation of mean, variance and sensitivity level of a sensitive variable via scrambled response modeling. The idea of using additive and subtractive scrambling, simultaneously, has been applied under Huang (2010) scrambled response model. Relative efficiency comparisons are also made in order to highlight the performance of proposed scrambling technique. Whether it is estimation of mean, variance or sensitivity level, the proposal has been shown to be relatively more efficient than Huang (2010), Gupta et al. (2010) and Mehta et al. (2012) procedures.
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