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
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (10)
Downloads: (external link)
https://doi.org/10.1111/j.1468-0475.2010.00510.x
Related works:
Journal Article: Benford’s Law and Fraud Detection: Facts and Legends (2010) 
Working Paper: Benford's Law and Fraud Detection. Facts and Legends (2010) 
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:bla:germec:v:11:y:2010:i:3:p:397-401
Ordering information: This journal article can be ordered from
http://www.blackwell ... bs.asp?ref=1465-6485
Access Statistics for this article
German Economic Review is currently edited by Bernhard Felderer, Joseph F. Francois, Ivo Welch, Urs Schweizer and David E. Wildasin
More articles in German Economic Review from Verein für Socialpolitik Contact information at EDIRC.
Bibliographic data for series maintained by Wiley Content Delivery ().