Benford's Law and Fraud Detection: Facts and Legends
AbstractIs Benford's law a good instrument to detect fraud in reports of statistical and scientific data? For a valid test, the probability of 'false positives' and 'false negatives' has to be low. However, it is very doubtful whether the Benford distribution is an appropriate tool to discriminate between manipulated and non-manipulated estimates. Further research should focus more on the validity of the test and test results should be interpreted more carefully. Copyright 2010 The Authors. Journal Compilation Verein für Socialpolitik and Blackwell Publishing Ltd. 2010.
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Bibliographic InfoArticle provided by Verein für Socialpolitik in its journal German Economic Review.
Volume (Year): 11 (2010)
Issue (Month): (08)
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Other versions of this item:
- Andreas Diekmann & Ben Jann, 2010. "Benford's Law and Fraud Detection. Facts and Legends," ETH Zurich Sociology Working Papers 8, ETH Zurich, Chair of Sociology.
- C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Hypothesis Testing: General
- C16 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Econometric and Statistical Methods; Specific Distributions
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Andreas Diekmann, 2002. "Diagnose von Fehlerquellen und methodische Qualität in der sozialwissenschaftlichen Forschung [Sources of Bias and Quality of Data in Social Science Research]," ITA manu:scripts 02_04, Institute of Technology Assessment (ITA).
- Andreas Diekmann, 2005.
"Not the First Digit! Using Benford’s Law to Detect Fraudulent Scientific Data,"
- Andreas Diekmann, 2007. "Not the First Digit! Using Benford's Law to Detect Fraudulent Scientif ic Data," Journal of Applied Statistics, Taylor & Francis Journals, vol. 34(3), pages 321-329.
- Dewald, William G & Thursby, Jerry G & Anderson, Richard G, 1986. "Replication in Empirical Economics: The Journal of Money, Credit and Banking Project," American Economic Review, American Economic Association, vol. 76(4), pages 587-603, September.
- Susumu Shikano & Verena Mack, 2011. "When Does the Second-Digit Benford’s Law-Test Signal an Election Fraud? Facts or Misleading Test Results," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), Justus-Liebig University Giessen, Department of Statistics and Economics, vol. 231(5-6), pages 719-732, November.
- Bernhard Rauch & Max Göttsche & Gernot Brähler & Stefan Engel, 2011. "Fact and Fiction in EU‐Governmental Economic Data," German Economic Review, Verein für Socialpolitik, vol. 12(3), pages 243-255, 08.
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