Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/117631
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dc.contributor.authorHashimzade, N.-
dc.contributor.authorMyles, G.D.-
dc.contributor.authorPage, F.-
dc.contributor.authorRablen, M.D.-
dc.date.issued2015-
dc.identifier.citationEconomics of Governance, 2015; 16(2):143-164-
dc.identifier.issn1435-6104-
dc.identifier.issn1435-8131-
dc.identifier.urihttp://hdl.handle.net/2440/117631-
dc.descriptionPrevious versions of the paper were presented at the Ottawa Workshop on Compliance and at Shadow2013 in Münster. https://www.wiwi.uni-muenster.de/shadow/shadow-2013-
dc.description.abstractAgent-based modelling can be used to investigate the behavioural and social aspects of tax compliance.We illustrate the approach with twomodels. The first model emphasises the role of occupational choice in tax compliance, and explores the effect of non-compliance on risk-taking and income distribution. The modelling of the compliance decision is discussed with an emphasis on decision-making under uncertainty and social interaction. We then add to the model a social network which governs the transmission of information on attitudes and beliefs, and investigate alternative audit strategies. A strategy of auditing a fixed number of taxpayers from each occupation dominates alternative strategies (including random and focussed strategies) in the sense of first-order stochastic dominance.-
dc.description.statementofresponsibilityNigar Hashimzade, Gareth D. Myles, Frank Page, Matthew D. Rablen-
dc.language.isoen-
dc.publisherSpringer (part of Springer Nature)-
dc.rights© Springer-Verlag Berlin Heidelberg 2014-
dc.source.urihttp://dx.doi.org/10.1007/s10101-014-0151-8-
dc.subjectAgent-based modelling; tax evasion; attitudes; beliefs; social network; occupational choice-
dc.titleThe use of agent-based modelling to investigate tax compliance-
dc.typeJournal article-
dc.identifier.doi10.1007/s10101-014-0151-8-
pubs.publication-statusPublished-
Appears in Collections:Aurora harvest 3
Economics publications

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