NONRANDOMIZED RESPONSE MODEL FOR COMPLEX SURVEY DESIGNS

Arnab Raghunath (), Shangodoyin Dahud Kehinde () and Arcos Antonio ()
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Arnab Raghunath: University of Botswana, Botswana and University of KwaZulu-Natal, Gaborone, South Africa .
Shangodoyin Dahud Kehinde: University of Botswana, Gaborone, Botswana .
Arcos Antonio: University of Granada, Granada, Spain .

Statistics in Transition New Series, 2019, vol. 20, issue 1, 67-86

Abstract: Warner’s randomized response (RR) model is used to collect sensitive information for a broad range of surveys, but it possesses several limitations such as lack of reproducibility, higher costs and it is not feasible for mail questionnaires. To overcome such difficulties, nonrandomized response (NRR) surveys have been proposed. The proposed NRR surveys are limited to simple random sampling with replacement (SRSWR) design. In this paper, NRR procedures are extended to complex survey designs in a unified setup, which is applicable to any sampling design and wider classes of estimators. Existing results for NRR can be derived from the proposed method as special cases.

Keywords: complex survey designs; parallel model; randomized response; probability proportional to size; varying probability sampling; 62D05 (search for similar items in EconPapers)
Date: 2019
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Persistent link: https://EconPapers.repec.org/RePEc:vrs:stintr:v:20:y:2019:i:1:p:67-86:n:2

DOI: 10.21307/stattrans-2019-004

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