Benford's Law, families of distributions and a test basis

John Morrow

LSE Research Online Documents on Economics from London School of Economics and Political Science, LSE Library

Abstract: Benford's Law is used to test for data irregularities. While novel, there are two weaknesses in the current methodology. First, test values used in practice are too conservative and the test values of this paper are more powerful and hold for fairly small samples. Second, testing requires Benford's Law to hold, which it often does not. I present a simple method to transform distributions to satisfy the Law with arbitrary precision and induce scale invariance, freeing tests from the choice of units. I additionally derive a rate of convergence to Benford's Law. Finally, the results are applied to common distributions.

Keywords: Benford's Law; data quality; fraud detection (search for similar items in EconPapers)
JEL-codes: C10 C24 C46 (search for similar items in EconPapers)
Pages: 25 pages
Date: 2014-08
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (8)

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http://eprints.lse.ac.uk/60364/ Open access version. (application/pdf)

Related works:
Working Paper: Benford's Law, Families of Distributions and a Test Basis (2014)
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Persistent link: https://EconPapers.repec.org/RePEc:ehl:lserod:60364

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