scholarly journals Segmentation of Potential Fraud Taxpayers and Characterization in Personal Income Tax Using Data Mining Techniques

2021 ◽  
Vol 239 (4) ◽  
pp. 127-157
Author(s):  
Camino González ◽  
◽  
María Jesús Delgado ◽  
Sonia de Lucas ◽  
◽  
...  

This paper proposes an analytical framework that combines dimension reduction and data mining techniques to obtain a sample segmentation according to potential fraud probability. In this regard, the purpose of this study is twofold. Firstly, it attempts to determine tax benefits that are more likely to be used by potential fraud taxpayers by means of investigating the Personal Income Tax structure. Secondly, it aims at characterizing through socioeconomic variables the segment profiles of potential fraud taxpayer to offer an audit selection strategy for improving tax compliance and improve tax design. An application to the annual Spanish Personal Income Tax sample designed by the Institute for Fiscal Studies is provided. Results obtained confirm that the combination of data mining techniques proposed offers valuable information to contribute to the study of tax fraud.

Author(s):  
Ryan A. Compton ◽  
Daniel Sandler ◽  
Lindsay M. Tedds ◽  
Christopher C. Nicholls

2020 ◽  
pp. 016001762094281
Author(s):  
Julio López-Laborda ◽  
Jaime Vallés-Giménez ◽  
Anabel Zárate-Marco

This article quantifies personal income tax compliance by regions for the first time in Spain and identifies the factors explaining differences in tax compliance between regions, an aspect that has scarcely been analyzed in the literature. To this end, and in addition to the dynamic and spatial components considered by Alm and Yunus, this article considers the variables included in the classical tax evasion model of Allingham and Sandmo, as well as tax morale and political-institutional variables, including those linked to the country’s fiscal decentralization. The results obtained confirm, on one hand, those reached in the very extensive literature studying tax evasion from the individual perspective (including the importance of the dynamic element) and, on the other, the relevance of the spatial component in explaining tax compliance, so that greater or lesser tax compliance is partly explained by factors such as the tax behavior of neighbors or how those neighbors are treated by the public sector.


2010 ◽  
Vol 42 (3) ◽  
pp. 351-368 ◽  
Author(s):  
Laurence Mathieu ◽  
Catherine Waddams Price ◽  
Francis Antwi

2019 ◽  
Vol 16 (1) ◽  
Author(s):  
Zhiyong An

Abstract We have identified two general lessons, suggested from the 2019 personal income tax reform of China, regarding third-party reporting, tax compliance, and tax incidence. First, third-party reporting is an effective mechanism to enforce tax compliance. Second, tax evasion can affect tax incidence. We argue that these two general lessons are important for both academic researchers and policymakers.


2021 ◽  
Vol 275 ◽  
pp. 01022
Author(s):  
Yiran Tao

In the context of the rapid development of economy and information technology, the level of tax informatization is getting higher and higher. The tax department has obtained a large amount of tax management data. Taxation departments must analyze and apply these data in order to grasp the deficiencies in the current tax management work, so as to take effective measures to improve tax quality and efficiency. This is the focus of the work of the taxation department. In the process of personal income tax collection and management, full application of data mining technology can break through the traditional personal tax collection and management model and improve the level of personal tax collection and management. At the same time, this can also ensure the effectiveness of the tax data verification work, which is positively helpful to improve the tax data application capabilities. This can also provide an effective reference for tax management decision-making. At this stage, the full application of risk-oriented audit methods based on data mining technology can improve the effectiveness of personal income tax collection and management audits. However, it is necessary to pay attention to a comprehensive study of the sources of personal income tax data. At the same time, the taxation department should also discuss the data processing of personal income tax and the review of the rationality, legality, and compliance of personal tax collection, so as to improve the data mining level of China’s personal tax collection and management.


2018 ◽  
Vol 13 (1) ◽  
pp. 49-61
Author(s):  
Mohammad Solehudin

The aims of this research is to determine how socializing influence of tax, penalties andimplementation of service tax authorities on tax compliance in the annual report PPh such as aprivate person either partially or simultaneously or jointly on individual taxpayers who havebusiness or work freely in the district KPP Pratama Kebon Jeruk Satu. This research uses samplerandom sampling and for the types of data uses primary and secondary data types. The primary datasource is obtained directly from the individual taxpayer who has a business or performs listed have aNPWP in KPP Pratama Kebon Jeruk Satu. While secondary data such as the number of individualtaxpayers who registered have income from business or work freely. Independent variables used aretax dissemination, implementation of financial penalities, and service tax authorities. The dependentvariable in this research is the taxpayers compliance. Testing in this research using SPSS 21.0. Theresults of the research showed that the socialization of tax, penalties implementation, and service taxauthorities partially significant effect on tax compliance and simultaneously have a significantimpact also on tax compliance. Implementation of penalties is the most dominant variable or aneffect on tax compliance in reporting SPT Personal Income Tax.


2021 ◽  
Vol 18 (2) ◽  
pp. 287-297
Author(s):  
Liliia Barannyk ◽  
Olena Dobrovolska ◽  
Victoriia Taranenko ◽  
Tetyana Koriahinа ◽  
Ludmyla Rybalchenko

Personal income tax (PIT) is one of the most important taxes in Ukraine due to its economic, social and political role. With its help, one can regulate the investment process, the level of real incomes and maintain stability in society. However, the potential of this tax in Ukraine is not fully used. The purpose of the study is to identify the main problems of PIT and further directions of its implementation as an instrument of social policy. Laffer’s tax theory, on the dependence of economic efficiency of taxation on lower tax rates and the degree of progressiveness of taxes, was taken as a conceptual line of research. Consideration of world trends in the practice of PIT allowed tracing its evolution and choose the methods of its optimization that are acceptable for Ukraine. The use of comparative and statistical analyses, grouping, structural modeling method, index method and systematization of results allowed formulating the author’s version of the income taxation reform in Ukraine. The introduction of a progressive taxation scale should take into account the quality of tax administration, the availability of tax benefits, deductions and loans, the amount of fines, and public perception of the tax system in addition to quantitative results. The proposed family taxation, based on the differentiation of taxpayers by their marital status, actual solvency through the introduction of family rates and the establishment of progressive rates of personal income tax, will fully implement the principle of social justice in the distribution of income.


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