Benford's Law and it's application to the tax declaration

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dc.contributor.advisor Corazza, Marco it_IT
dc.contributor.author Tramontin, Marco <1994> it_IT
dc.date.accessioned 2019-02-17 it_IT
dc.date.accessioned 2019-06-11T08:43:47Z
dc.date.issued 2019-03-18 it_IT
dc.identifier.uri http://hdl.handle.net/10579/14803
dc.description.abstract Benford’s Law, also referred to as the first digit Law, is somewhat of a counterintuitive law of nature that applies to numbers, more specifically to their distribution. Benford was not the only one to study such law, many mathematicians have attempted to understand the way numbers are distributed. Frank Benford, a physicist working for the Genereal Electric Company, made a very important observation by looking at the logarithmic tables. Such tables, were more consumed where the numbers had one as their first digit. Rather than just focusing on data, Benford also provided some very important empirical evidence. The innovation introduced by Benford consisted in using data that was diversified as much as possible. His objective was to verify his theory in the most unbiased way possible. By taking 20229 uncorrelated data sets, Benford was able to show that the frequency of the first digit of each number did in fact follow a precise distribution. It is in this precise moment that the Benford’s law began gaining more notoriety.The scope of this thesis will firstly consist in providing a general background to the definition of Benford’s law and all the its possible applications. We will then italian’s tax declaration to show how Benford’s law can detect possible tax evasion or erroneous mistakes. The data, finally, wil be provided to us by the public office of the Veneto region. it_IT
dc.language.iso en it_IT
dc.publisher Università Ca' Foscari Venezia it_IT
dc.rights © Marco Tramontin, 2019 it_IT
dc.title Benford's Law and it's application to the tax declaration it_IT
dc.title.alternative Benford’s Law: an application for the detection of anomalies in the American tax returns it_IT
dc.type Master's Degree Thesis it_IT
dc.degree.name Economia e finanza it_IT
dc.degree.level Laurea magistrale it_IT
dc.degree.grantor Dipartimento di Economia it_IT
dc.description.academicyear 2017/2018, sessione straordinaria it_IT
dc.rights.accessrights closedAccess it_IT
dc.thesis.matricno 850265 it_IT
dc.subject.miur SECS-P/06 ECONOMIA APPLICATA it_IT
dc.description.note it_IT
dc.degree.discipline it_IT
dc.contributor.co-advisor it_IT
dc.date.embargoend 10000-01-01
dc.provenance.upload Marco Tramontin (850265@stud.unive.it), 2019-02-17 it_IT
dc.provenance.plagiarycheck Marco Corazza (corazza@unive.it), 2019-03-04 it_IT


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