Automatic Identification of Faked and Fraudulent Interviews in Surveys by Two Different Methods
AbstractThis 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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Bibliographic InfoPaper provided by DIW Berlin, German Institute for Economic Research in its series Discussion Papers of DIW Berlin with number 441.
Length: 13 p.
Date of creation: 2004
Date of revision:
Find related papers by JEL classification:
- C8 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs
- C4 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics
This paper has been announced in the following NEP Reports:
- NEP-ALL-2004-10-21 (All new papers)
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- Dlugosz, Stephan & Müller-Funk, Ulrich, 2012. "Ziffernanalyse zur Betrugserkennung in Finanzverwaltungen: Prüfung von Kassenbelegen," Arbeitsberichte des Instituts fÃ¼r Wirtschaftsinformatik 133, University of Münster, Department of Information Systems.
- Jürgen Schupp & Joachim R. Frick, 2010. "Multidisciplinary Household Panel Studies under Academic Direction," Working Paper Series of the German Council for Social and Economic Data 140, German Council for Social and Economic Data (RatSWD).
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