Optional Randomized Response Revisited

Mukerjee, Rahul

doi:10.1016/bs.host.2016.01.018

Cited by 1 publication

(1 citation statement)

References 31 publications

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“…The idea of optional responses was introduced by Chaudhuri & Mukerjee () and then adapted to different randomised response designs by many authors. A review of some important optional randomised techniques available in the literature may be found in Chaudhuri (), Chaudhuri & Christofides (), Arnab & Rueda () and Mukerjee ().…”

Section: The Optional Negative Surveymentioning

confidence: 99%

Mixture of Truthful–Untruthful Responses in Public Surveys

Christofides

Perri

2019

Int Statistical Rev

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Summary When sensitive issues are surveyed, collecting truthful data and obtaining reliable estimates of population parameters is a persistent problem in many fields of applied research mostly in sociological, economic, demographic, ecological and medical studies. In this context, and moving from the so‐called negative survey, we consider the problem of estimating the proportion of population units belonging to the categories of a sensitive variable when collected data are affected by measurement errors produced by untruthful responses. An extension of the negative survey approach is proposed herein in order to allow respondents to release a true response. The proposal rests on modelling the released data with a mixture of truthful and untruthful responses that allows researchers to obtain an estimate of the proportions as well as the probability of receiving the true response by implementing the EM‐algorithm. We describe the estimation procedure and carry out a simulation study to assess the performance of the EM estimates vis‐à‐vis certain benchmark values and the estimates obtained under the traditional data‐collection approach based on direct questioning that ignores the presence of misreporting due to untruthful responding. Simulation findings provide evidence on the accuracy of the estimates and permit us to appreciate the improvements that our approach can produce in public surveys, particularly in election opinion polls, when the hidden vote problem is present.

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