Analyzing efficiency for the multi-category parallel method

Heiko Groenitz ()
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Heiko Groenitz: Philipps-University Marburg

METRON, 2018, vol. 76, issue 2, No 5, 250 pages

Abstract: Abstract Survey data play an important role in many areas. The surveys typically consist of a list of direct questions. However, if survey data on sensitive topics (tax evasion, fraud, discrimination) are desired, direct questions lead to problems in data quality by answer refusal and untruthful answers. For this reason, there is a need for clever questioning procedures which protect the privacy of the respondents and yield data that allow statistical inference. One interesting procedure for categorical sensitive characteristics is the parallel method (PM). To apply the PM, the survey agency must choose certain parameters of the PM. So far, it has been not analyzed how these PM parameters influence the estimation efficiency corresponding to the PM. This paper addresses this important issue. Our investigations result in recommendations for survey agencies on appropriate PM parameters.

Keywords: Central limit theorem; Complex sample survey; Data protection; Estimation of proportions; Optimization; Sensitive characteristic (search for similar items in EconPapers)
Date: 2018
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DOI: 10.1007/s40300-017-0134-y

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