Income Tax Fraud: Estimations of Its Dimensions; Its Economic Consequences and a Tax Reform Proposal

2012 ◽  
Vol 23 (Special) ◽  
pp. 221
Author(s):  
Kemal CAKMAN ◽  
Halit DOGAN
2019 ◽  
Vol 11 (4) ◽  
pp. 86 ◽  
Author(s):  
César Pérez López ◽  
María Delgado Rodríguez ◽  
Sonia de Lucas Santos

The goal of the present research is to contribute to the detection of tax fraud concerning personal income tax returns (IRPF, in Spanish) filed in Spain, through the use of Machine Learning advanced predictive tools, by applying Multilayer Perceptron neural network (MLP) models. The possibilities springing from these techniques have been applied to a broad range of personal income return data supplied by the Institute of Fiscal Studies (IEF). The use of the neural networks enabled taxpayer segmentation as well as calculation of the probability concerning an individual taxpayer’s propensity to attempt to evade taxes. The results showed that the selected model has an efficiency rate of 84.3%, implying an improvement in relation to other models utilized in tax fraud detection. The proposal can be generalized to quantify an individual’s propensity to commit fraud with regards to other kinds of taxes. These models will support tax offices to help them arrive at the best decisions regarding action plans to combat tax fraud.


1973 ◽  
Vol 2 (2) ◽  
pp. 80-88
Author(s):  
E.L. LaDue ◽  
W.R. Bryant

Recent Congressional testimony has focused on the desirability of eliminating certain income tax “preferences” that are important in agriculture. Specifically, separate proposals have urged that capital gains treatment pertaining to livestock, vineyards and orchards be eliminated and that the cash method of tax accounting no longer be permitted. The justification for these proposals is based on the continued activity of wealthy individuals in tax loss or tax sheltered farming, despite provisions of the Tax Reform Act of 1969 to limit such ventures. Furthermore, it is argued that these tax preferences result in a greater subsidy to the high tax bracket individual than low tax bracket individual and thus place low income bonafide farmers at a competitive disadvantage which could force them out of business.


2021 ◽  
Vol 7 (2) ◽  
pp. 134-145
Author(s):  
M. Krajňák ◽  

Legislation governing personal income taxation is often subject to changes. A significant personal income tax reform was carried out in the Czech Republic in 2021. The reform implements a progressive tax rate, changes the way the tax base is determined, and increases the tax relief for the taxpayer. The aim of the article is to evaluate the impact of the personal income tax reform on the effective tax rate and tax progressivity. To that end, methods of regression analysis have been used. The source of information for analysis was the data published by the Czech Statistical Office. It was found that in 2021, in comparison with 2020, the tax burden represented in this study by the effective tax rate, in all cases became lower, approximately by 5%. The main reason for this decline is the adjustment of the method of construction of the tax base, which, for the first time in the history of the Income Tax Act, is gross wages. Until the end of 2020, the tax base was a super-gross wage, or the gross wage increased by social security contribution borne by the employer at his costs. The second factor that reduces the tax burden is a CZK 3,000 increase in the deduction per taxpayer per year. This fact increases the degree of tax progressivity, as confirmed by the results of the progressivity analysis and the regression analysis. The changes that have taken place in the personal income tax this year have a positive impact on the taxpayer, but from the point of view of the state, this reform has reduced the state budget revenues.


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