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Social networks and occupational choice: The endogenous formation of attitudes and beliefs about tax compliance

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  • Hashimzade, Nigar
  • Myles, Gareth D.
  • Page, Frank
  • Rablen, Matthew D.

Abstract

The paper analyses the emergence of group-specific attitudes and beliefs about tax compliance when individuals interact in a social network. It develops a model in which taxpayers possess a range of individual characteristics – including attitude to risk, potential for success in self-employment, and the weight attached to the social custom for honesty – and make an occupational choice based on these characteristics. Occupations differ in the possibility for evading tax. The social network determines which taxpayers are linked, and information about auditing and compliance is transmitted at meetings between linked taxpayers. Using agent-based simulations, the analysis demonstrates how attitudes and beliefs endogenously emerge that differ across sub-groups of the population. Compliance behaviour is different across occupational groups, and this is reinforced by the development of group-specific attitudes and beliefs. Taxpayers self-select into occupations according to the degree of risk aversion, the subjective probability of audit is sustained above the objective probability, and the weight attached to the social custom differs across occupations. These factors combine to lead to compliance levels that differ across occupations.

Suggested Citation

  • Hashimzade, Nigar & Myles, Gareth D. & Page, Frank & Rablen, Matthew D., 2014. "Social networks and occupational choice: The endogenous formation of attitudes and beliefs about tax compliance," Journal of Economic Psychology, Elsevier, vol. 40(C), pages 134-146.
  • Handle: RePEc:eee:joepsy:v:40:y:2014:i:c:p:134-146
    DOI: 10.1016/j.joep.2012.09.002
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    Cited by:

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    2. Benno Torgler, 2014. "Can Tax Compliance Research Profit from Biology?," CREMA Working Paper Series 2014-08, Center for Research in Economics, Management and the Arts (CREMA).
    3. Benno Torgler, 2014. "Can Tax Compliance Research Profit from Biology?," QuBE Working Papers 025, QUT Business School.
    4. Garcia, Filomena & Opromolla, Luca David & Vezzulli, Andrea & Marques, Rafael, 2020. "The effects of official and unofficial information on tax compliance," Journal of Economic Psychology, Elsevier, vol. 78(C).
    5. Maria-Augusta Miceli, 2020. "VAT Compliance Incentives," Papers 2002.07862, arXiv.org, revised Feb 2021.
    6. Matthew Gould & Matthew Rablen, 2016. "Voluntary Disclosure Schemes for Offshore Tax Evasion: An Analysis," CESifo Working Paper Series 5750, CESifo.
    7. Pickhardt, Michael & Prinz, Aloys, 2014. "Behavioral dynamics of tax evasion – A survey," Journal of Economic Psychology, Elsevier, vol. 40(C), pages 1-19.
    8. Gamannossi degl’Innocenti, Duccio & Rablen, Matthew D., 2020. "Tax evasion on a social network," Journal of Economic Behavior & Organization, Elsevier, vol. 169(C), pages 79-91.
    9. Debra Leiter & Jack Reilly & Beth Vonnahme, 2021. "The crowding of social distancing: How social context and interpersonal connections affect individual responses to the coronavirus," Social Science Quarterly, Southwestern Social Science Association, vol. 102(5), pages 2435-2451, September.
    10. Matthew Gould & Matthew D. Rablen, 2020. "Voluntary disclosure schemes for offshore tax evasion," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 27(4), pages 805-831, August.
    11. Nigar Hashimzade & Gareth Myles & Frank Page & Matthew Rablen, 2015. "The use of agent-based modelling to investigate tax compliance," Economics of Governance, Springer, vol. 16(2), pages 143-164, May.
    12. Debora Di Gioacchino & Domenico Fichera, 2022. "Tax evasion and social reputation: The role of influencers in a social network," Metroeconomica, Wiley Blackwell, vol. 73(4), pages 1048-1069, November.
    13. Dimitrios Varvarigos, 2017. "Cultural norms, the persistence of tax evasion, and economic growth," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 63(4), pages 961-995, April.
    14. Korndörfer, Martin & Krumpal, Ivar & Schmukle, Stefan C., 2014. "Measuring and explaining tax evasion: Improving self-reports using the crosswise model," Journal of Economic Psychology, Elsevier, vol. 45(C), pages 18-32.
    15. Di Gioacchino, Debora & Fichera, Domenico, 2020. "Tax evasion and tax morale: A social network analysis," European Journal of Political Economy, Elsevier, vol. 65(C).
    16. Pukelienė Violeta & Kažemekaitytė Austėja, 2016. "Tax Behaviour: Assessment of Tax Compliance in European Union Countries," Ekonomika (Economics), Sciendo, vol. 95(2), pages 30-56, February.
    17. Antinyan, Armenak & Horváth, Gergely & Jia, Mofei, 2019. "Social status competition and the impact of income inequality in evolving social networks: An agent-based model," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 79(C), pages 53-69.
    18. V.A. Molodykh, 2021. "Impact of Short-Term Exogenous Shocks on Taxpayer Behavior and Tax Evasion," Journal of Applied Economic Research, Graduate School of Economics and Management, Ural Federal University, vol. 20(2), pages 241-268.
    19. Duccio Gamannossi degl’Innocenti & Matthew D. Rablen, 2017. "Tax avoidance and optimal income tax enforcement," IFS Working Papers W17/08, Institute for Fiscal Studies.

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    More about this item

    Keywords

    3020; 4270; Tax evasion; Attitudes; Beliefs; Endogeneity; Social network; Agent-based modelling; Bomb-crater effect;
    All these keywords.

    JEL classification:

    • H26 - Public Economics - - Taxation, Subsidies, and Revenue - - - Tax Evasion and Avoidance
    • D85 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Network Formation

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