Abstract

This paper examines the twin issues of spatiality and persistence in the individual income tax evasion decision. The issue of persistence arises through accumulated learning over time; spati- ality arises for several reasons , including the exchange of informa- tion between taxpayers , the social norm of tax compliance , and the difficulties faced by individuals with dynamic stochastic decision problems like tax evasion. The paper uses state-level, time-series, cross-section data for the years 1979 to 1997 to estimate the factors that affect per return evasion of the individual income tax. The esti- mation methods incorporate both spatial dependence and dynamic considerations ; they also consider the potential endogeneity of the audit rate. The empirical results provide strong and robust support for both spatiality and persistence in tax evasion. The results also show a large deterrent effect from higher audit rates.

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