A decision support model for tax revenue collection in Greece
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摘要
In the midst of the financial crisis currently unfolding in Greece, tax revenue collection is considered a top priority. This work describes a dynamic, Markov-based decision support model, aimed at predicting the behavior of a risk-neutral enterprise in Greece, and at evaluating tax policies before they are implemented. We use our model to i) analyze the effectiveness of an alternative taxation option periodically offered by the Greek government, ii) show that in the current environment, a rational enterprise has no incentive to disclose its profits, and iii) identify “virtuous” combinations of parameters which lead to full disclosure of profits.
论文关键词:Tax optimization,Dynamic programming,Markov chains,Decision making,Greece
论文评审过程:Received 10 January 2011, Revised 25 November 2011, Accepted 22 December 2011, Available online 30 December 2011.
论文官网地址:https://doi.org/10.1016/j.dss.2011.12.006