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Walking inside the Potential Tax Evader's Mind.

Authors: Juan Carlos Molero; Francesc Pujol;

Walking inside the Potential Tax Evader's Mind.

Abstract

The classical Allingham-Sandmo-Yitzhaki model explains tax evasion behavior based on the probability of being discovered, the amount of the fine imposed and the level of risk aversion. Nonetheless, empirical studies show that the decision and the level of tax evasion depends also on non economic considerations, usually named as the "psychological costs" associated to tax evasion. We build a theoretical model of tax evasion including non monetary considerations. We propose an empirical study on the determinants of the psychological costs of tax evasion, based on the theoretical taxonomy proposed by Lagares (1994). Data come from a questionnaire filled by 781 university students. The dependent variable is the percentage of students considering acceptable to evade taxes. Using a binomial logit model we find that the justification of tax evasion is statistically related with: the presence of grievance in absolute terms (those who feel that taxes are too high; waste of public funds) and grievances in relative terms (the suspected level of tax evasion by others, those accepting black economy labor). The sense of duty and the level of solidarity are also relevant factors, but in a lesser extent.

Country
Spain
Related Organizations
Keywords

Materias Investigacion::Economía y Empresa, jel: jel:H26

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green