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Benford’s Law: genesi, letteratura e applicazioni empiriche

Author

Listed:
  • Giuseppe Marzo
  • Yannick Tazzari
  • Stefano Bonnini

Abstract

Benford’s Law is the statistical law capable of identifying the hidden anomalies of large datasets. The purpose of this article is to summarize how this logarithmic law was discovered, to summarize the related literature and to describe its empirical applications.

Suggested Citation

  • Giuseppe Marzo & Yannick Tazzari & Stefano Bonnini, 2020. "Benford’s Law: genesi, letteratura e applicazioni empiriche," Working Papers 2020019, University of Ferrara, Department of Economics.
    • Handle: RePEc:udf:wpaper:2020019
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    File URL: http://out.economia.unife.it/uploads/dip_deit/quaderni/2020019.pdf
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    References listed on IDEAS

    as
    1. Hales, Douglas N. & Sridharan, V. & Radhakrishnan, Abirami & Chakravorty, Satya S. & Siha, Samia M., 2008. "Testing the accuracy of employee-reported data: An inexpensive alternative approach to traditional methods," European Journal of Operational Research, Elsevier, vol. 189(3), pages 583-593, September.
    2. Hill, Theodore P. & Schürger, Klaus, 2005. "Regularity of digits and significant digits of random variables," Stochastic Processes and their Applications, Elsevier, vol. 115(10), pages 1723-1743, October.
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    More about this item

    Keywords

    Benford’s Law; manipolazione dati;

    JEL classification:

    • C49 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Other

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