Please use this identifier to cite or link to this item: http://buratest.brunel.ac.uk/handle/2438/11891
Title: Predictive Analytics and the Targeting of Audits
Authors: Rablen, MD
Hashimzade, N
Myles, GD
Keywords: Tax compliance;Social network;Agent-based model;JEL;H26;D85
Issue Date: 2015
Publisher: Elsevier
Citation: Journal of Economic Behavior and Organization
Abstract: The literature on audit strategies has focused on random audits or on audits conditioned only on income declaration. In contrast, tax authorities employ the tools of predictive analytics to identify taxpayers for audit, with a range of variables used for conditioning. The paper explores the compliance and revenue consequences of the use of predictive analytics in an agent-based model that draws upon a behavioral approach to tax compliance. The taxpayers in the model form subjective beliefs about the probability of audit from social interaction, and are guided by a social custom that is developed from meeting other taxpayers. The belief and social custom feed into the occupational choice between employment and two forms of self-employment. It is shown that the use of predictive analytics yields a significant increase in revenue over a random audit strategy.
URI: https://www.researchgate.net/publication/286766224_Predictive_Analytics_and_the_Targeting_of_Audits
http://bura.brunel.ac.uk/handle/2438/11891
DOI: http://dx.doi.org/10.1016/j.jebo.2015.11.009
ISSN: 0167-2681
Appears in Collections:Dept of Economics and Finance Research Papers

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