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Automatic Identification of Faked and Fraudulent Interviews in Surveys by Two Different Methods

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Author Info
Christin Schäfer
Jörg-Peter Schräpler
Klaus-Robert Müller
Gert G. Wagner

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Abstract

This paper presents two new tools for the identification of faking interviewers in surveys. One method is based on Benford's Law, and the other exploits the empirical observation that fakers most often produce answers with less variability than could be expected from the whole survey. We focus on fabricated data, which were taken out of the survey before the data were disseminated in the German Socio-Economic Panel (SOEP). For two samples, the resulting rankings of the interviewers with respect to their cheating behavior are given. For both methods all of the evident fakers are identified.

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File URL: http://www.diw.de/documents/publikationen/73/diw_01.c.42515.de/dp441.pdf
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Publisher Info
Paper provided by DIW Berlin, German Institute for Economic Research in its series Discussion Papers of DIW Berlin with number 441.

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Length: 13 p.
Date of creation: 2004
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Handle: RePEc:diw:diwwpp:dp441

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C8 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs
C4 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics

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