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Tax Evasion Indices and Profiles

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  • Dino Rizzi

    (Department of Economics, University Of Venice C� Foscari)

Abstract

The aim of the paper is to apply definitions and graphical devices currently used in the economic literature on poverty to individual data on tax evasion. Starting from simple indices, the paper presents composite indices and profiles of tax evasion and compliance, based on the three I�s of tax evasion: incidence, intensity and inequality. In the field of tax evasion, a stream of literature produces potentially a large amount of individual micro data using agent-based models: the aim of the paper is to enrich the analysis offered by these models with indices that take into account the whole distribution of taxpayers� evasion rates, rather than the usual average rate.

Suggested Citation

  • Dino Rizzi, 2012. "Tax Evasion Indices and Profiles," Working Papers 2012:37, Department of Economics, University of Venice "Ca' Foscari", revised 2012.
    • Handle: RePEc:ven:wpaper:2012:37
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    References listed on IDEAS

    as
    1. Pickhardt, Michael & Seibold, Goetz, 2014. "Income tax evasion dynamics: Evidence from an agent-based econophysics model," Journal of Economic Psychology, Elsevier, vol. 40(C), pages 147-160.
    2. Kirchler, Erich & Hoelzl, Erik & Wahl, Ingrid, 2008. "Enforced versus voluntary tax compliance: The "slippery slope" framework," Journal of Economic Psychology, Elsevier, vol. 29(2), pages 210-225, April.
    3. Sascha Hokamp & Michael Pickhardt, 2010. "Income Tax Evasion in a Society of Heterogeneous Agents - Evidence from an Agent-based Model," International Economic Journal, Taylor & Francis Journals, vol. 24(4), pages 541-553.
    4. Sen, Amartya K, 1976. "Poverty: An Ordinal Approach to Measurement," Econometrica, Econometric Society, vol. 44(2), pages 219-231, March.
    5. Georg Zaklan & Frank Westerhoff & Dietrich Stauffer, 2009. "Analysing tax evasion dynamics via the Ising model," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 4(1), pages 1-14, June.
    6. Pyle, D J, 1991. "The Economics of Taxpayer Compliance," Journal of Economic Surveys, Wiley Blackwell, vol. 5(2), pages 163-198.
    7. Sandmo, Agnar, 2005. "The Theory of Tax Evasion: A Retrospective View," National Tax Journal, National Tax Association;National Tax Journal, vol. 58(4), pages 643-663, December.
    8. Kuan Xu & Lars Osberg, 2001. "How to Decompose Sen-Shorrocks-Thon Poverty Index: A Practitioner’s Guide," Journal of Income Distribution, Ad libros publications inc., vol. 10(1-2), pages 7-7, June.
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    Cited by:

    1. Duc Hong Vo & Ha Minh Nguyen & Tan Manh Vo & Michael McAleer, 2020. "Information Sharing, Bank Penetration and Tax Evasion in Emerging Markets," Risks, MDPI, vol. 8(2), pages 1-16, April.
    2. Andrea Albarea & Michele Bernasconi & Anna Marenzi & Dino Rizzi, 2020. "Income Underreporting and Tax Evasion in Italy: Estimates and Distributional Effects," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 66(4), pages 904-930, December.

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    More about this item

    Keywords

    tax evasion; indices; incidence; intensity; inequality;
    All these keywords.

    JEL classification:

    • H26 - Public Economics - - Taxation, Subsidies, and Revenue - - - Tax Evasion and Avoidance

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