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On the evolution of compliance and regulation with tax evading agents

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  • We study the evolution of compliance and regulation with tax-evading agents, allowing for imitation rather than rationality in the evolution of available strategies distribution in the population. The general framework of the approach combines a classical model for tax evasion where agents are imitators rather than rational optimizers and form an endogenized subjective probability of audit. A regulator chooses values to available policy instruments, either myopically or optimally -within an optimal control setup-, always with respect to the behavior of agents. A comparison is drawn between the evolutionary and rational case in order to evaluate the differences that occur.
    Mathematics Subject Classification: Primary: 91A22, 91B55; JEL Classification: H26, C73.

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