Some New Tests of Conformity with Benford’s Laws

Roy Cerqueti and Claudio Lupi
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Roy Cerqueti: Sapienza University of Rome - Department of Informatics and System Sciences - UNIROMA - Università degli Studi di Roma "La Sapienza" = Sapienza University [Rome]

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Abstract: This paper presents new perspectives and methodological instruments for verifying the validity of Benford's law for a large given dataset. To this aim, we first propose new general tests for checking the statistical conformity of a given dataset with a generic target distribution; we also provide the explicit representation of the asymptotic distributions of the relevant test statistics. Then, we discuss the applicability of such novel devices to the case of Benford's law. We implement extensive Monte Carlo simulations to investigate the size and the power of the introduced tests. Finally, we discuss the challenging theme of interpreting, in a statistically reliable way, the conformity between two distributions in the presence of a large number of observations.

Date: 2021
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Citations: View citations in EconPapers (3)

Published in Stats, 2021, 4 (3), pp.745-761. ⟨10.3390/stats4030044⟩

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Journal Article: Some New Tests of Conformity with Benford’s Law (2021)
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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-03789183

DOI: 10.3390/stats4030044

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