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

Author

Listed:
  • Christin Schäfer
  • Jörg-Peter Schräpler
  • Klaus-Robert Müller
  • Gert G. Wagner

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.

Suggested Citation

  • Christin Schäfer & Jörg-Peter Schräpler & Klaus-Robert Müller & Gert G. Wagner, 2004. "Automatic Identification of Faked and Fraudulent Interviews in Surveys by Two Different Methods," Discussion Papers of DIW Berlin 441, DIW Berlin, German Institute for Economic Research.
    • Handle: RePEc:diw:diwwpp:dp441
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    File URL: https://www.diw.de/documents/publikationen/73/diw_01.c.42515.de/dp441.pdf
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    Citations

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    Cited by:

    1. Jürgen Schupp & Joachim R. Frick, 2010. "Multidisciplinary Household Panel Studies under Academic Direction," RatSWD Working Papers 140, German Data Forum (RatSWD).
    2. Eugenio Paglino & Tom Emery, 2020. "Evaluating interviewer manipulation in the new round of the Generations and Gender Survey," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 43(50), pages 1461-1494.
    3. Dlugosz, Stephan & Müller-Funk, Ulrich, 2012. "Ziffernanalyse zur Betrugserkennung in Finanzverwaltungen: Prüfung von Kassenbelegen," Arbeitsberichte des Instituts für Wirtschaftsinformatik 133, University of Münster, Department of Information Systems.
    4. Finn, Arden & Ranchhod, Vimal, 2013. "Genuine Fakes: The prevalence and implications of fieldworker fraud in a large South African survey," SALDRU Working Papers 115, Southern Africa Labour and Development Research Unit, University of Cape Town.

    More about this item

    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

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