Micro to macro models for income distribution in the absence and in the presence of tax evasion
AbstractWe investigate the effect of tax evasion on the income distribution and the inequality index of a society through a kinetic model described by a set of nonlinear ordinary differential equations. The model allows to compute the global outcome of binary and multiple microscopic interactions between individuals. When evasion occurs, both individuals involved in a binary interaction take advantage of it, while the rest of the society is deprived of a part of the planned redistribution. In general, the effect of evasion on the income distribution is to decrease the population of the middle classes and increase that of the poor and rich classes. We study the dependence of the Gini index on several parameters (mainly taxation rates and evasion rates), also in the case when the evasion rate increases proportionally to a taxation rate which is perceived by citizens as unfair. Finally, we evaluate the relative probability of class advancement of individuals due to direct interactions and welfare provisions, and some typical temporal rates of convergence of the income distribution to its equilibrium state.
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Bibliographic InfoPaper provided by arXiv.org in its series Papers with number 1403.0015.
Date of creation: Jan 2014
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Web page: http://arxiv.org/
This paper has been announced in the following NEP Reports:
- NEP-ALL-2014-03-15 (All new papers)
- NEP-IUE-2014-03-15 (Informal & Underground Economics)
- NEP-PBE-2014-03-15 (Public Economics)
- NEP-PUB-2014-03-15 (Public Finance)
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- Kaniadakis, G., 2001. "Non-linear kinetics underlying generalized statistics," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 296(3), pages 405-425.
- Maria Letizia Bertotti & Giovanni Modanese, 2012. "Exploiting the flexibility of a family of models for taxation and redistribution," Papers 1207.6081, arXiv.org, revised Mar 2014.
- Mittone, Luigi, 2006.
"Dynamic behaviour in tax evasion: An experimental approach,"
Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics),
Elsevier, vol. 35(5), pages 813-835, October.
- Luigi Mittone, 2002. "Dynamic behaviours in tax evasion. An experimental approach," CEEL Working Papers 0203, Cognitive and Experimental Economics Laboratory, Department of Economics, University of Trento, Italia.
- M. Bertotti & G. Modanese, 2012. "Exploiting the flexibility of a family of models for taxation and redistribution," The European Physical Journal B - Condensed Matter and Complex Systems, Springer, vol. 85(8), pages 1-10, August.
- Georg Zaklan & Frank Westerhoff & Dietrich Stauffer, 2008.
"Analysing tax evasion dynamics via the Ising model,"
- Georg Zaklan & Frank Westerhoff & Dietrich Stauffer, 2009. "Analysing tax evasion dynamics via the Ising model," Journal of Economic Interaction and Coordination, Springer, vol. 4(1), pages 1-14, June.
- Sascha Hokamp & Michael Pickhardt, .
"Income Tax Evasion in a Society of Heterogeneous Agents – Evidence from an Agent-based Model,"
201035, Institute of Spatial and Housing Economics, Munster Universitary.
- 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.
- Hokamp, Sascha & Pickhardt, Michael, 2010. "Income tax evasion in a society of heterogeneous agents: Evidence from an agent-based model," CAWM Discussion Papers 35, Center of Applied Economic Research Münster (CAWM), University of Münster.
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