Tax compliance with uncertain income: a stochastic control model
Gaetano T. Spartà () and
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Gaetano T. Spartà: Sapienza-Università di Roma
Gabriele Stabile: Sapienza-Università di Roma
Annals of Operations Research, 2018, vol. 261, issue 1, 289-301
Abstract This paper examines the compliance behaviour of a taxpayer endowed with a stochastic income, taking into account dynamical factors as public and private investments, within a stochastic control framework. Assuming logarithmic utilities and thanks to a suitable rewrite of the problem, we provide an existence and uniqueness result for the solution of the Hamilton–Jacobi–Bellman equation associated to the control problem, and we rely on a symbolic and numerical algorithm to study its solution. Moreover, we implement a Monte Carlo simulation in order to determine an estimate of the mean and the variance of the total declared income together with a confidence interval. To illustrate how the method works, we present a computational example where we assign values to the parameters. In this case we perform a sensitivity analysis, showing how the total declared income is affected by public and private investments, probability of being discovered, fine, tax rate and income uncertainty.
Keywords: Tax evasion; Stochastic income; Stochastic control; HJB equation (search for similar items in EconPapers)
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