Publication details for Professor Nigar HashimzadeHashimzade, N., Myles, G. D., Page, F. & Rablen, M. D. (2015). The Use of Agent-Based Modelling to Investigate Tax Compliance. Economics of Governance 16(2): 143-164.
- Publication type: Journal Article
- ISSN/ISBN: 1435-6104, 1435-8131
- DOI: 10.1007/s10101-014-0151-8
- Keywords: Agent-based modelling, Tax evasion, Attitudes, Beliefs, Social network, Occupational choice, H26, D85, C63.
- Further publication details on publisher web site
- Durham Research Online (DRO) - may include full text
Author(s) from Durham
Agent-based modelling can be used to investigate the behavioural and social aspects of tax compliance. We illustrate the approach with two models. 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.