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Benford's Law and Fraud Detection: Facts and Legends

Andreas Diekmann and Ben Jann

German Economic Review, 2010, vol. 11, issue 3, 397-401

Abstract: Abstract. Is 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.

Date: 2010
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Citations: View citations in EconPapers (10)

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https://doi.org/10.1111/j.1468-0475.2010.00510.x

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Journal Article: Benford’s Law and Fraud Detection: Facts and Legends (2010) Downloads
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German Economic Review is currently edited by Bernhard Felderer, Joseph F. Francois, Ivo Welch, Urs Schweizer and David E. Wildasin

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