scholarly journals Income Reported in the 1950 Census and on Income Tax Returns

1958 ◽  
pp. 179-206
Keyword(s):  
Income Tax ◽  
Tax Returns

scholarly journals Tax Fraud Detection through Neural Networks: An Application Using a Sample of Personal Income Taxpayers

2019 ◽  
Vol 11 (4) ◽  
pp. 86 ◽  
Author(s):  
César Pérez López ◽  
María Delgado Rodríguez ◽  
Sonia de Lucas Santos
Keyword(s):  
Neural Network ◽  
Neural Networks ◽  
Income Tax ◽  
Fraud Detection ◽  
Personal Income ◽  
Personal Income Tax ◽  
Tax Returns ◽  
The Neural Networks ◽  
Tax Fraud ◽  
Efficiency Rate

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.

scholarly journals Analisis Jumlah Wajib Pajak Pph OP Yang Tidak Menyampaikan SPT Dengan Penerimaan Pajak Pada KPP Pratama Jakarta Duren Sawit

2019 ◽  
Vol 6 (2) ◽  
pp. 173-178
Author(s):  
Dede Suleman
Keyword(s):  
Income Tax ◽  
Personal Income ◽  
Personal Income Tax ◽  
The Public ◽  
Tax Returns

Personal income tax is one of the potential tax receipts in this study which will provide a percentage picture of taxpayers who do not submit SPT with the percentage of Op tax PPh revenue. it was found that the number of taxpayers who did not submit annual tax returns decreased in 2017 to only 9.4% of the taxpayers who did not submit tax returns, which meant that the public began to realize their SPT every year. tax that turns out to be known that every year there is an increase in 2017 compared to 2016 experiencing an increase of 72% and the largest revenue occurred in 2017 amounting to 89% of the set target.

scholarly journals Tax Literacy

2018 ◽  
Vol 66 (2) ◽  
pp. 553-559
Author(s):  
Michaela Moučková ◽  
Leoš Vítek
Keyword(s):  
Income Tax ◽  
Response Rate ◽  
Statistical Tests ◽  
Value Added ◽  
Practical Experience ◽  
Personal Income ◽  
Personal Income Tax ◽  
Two Factors ◽  
Tax Returns ◽  
The University

Presented paper focuses on measuring tax literacy among bachelor degree students at the University of Economics, Prague, along with analysis of the two factors that influence it. Based on the 150 collected questionnaires (63 % response rate), we measured tax literacy of students (personal income tax and VAT) and examined whether it depends on (i) previous passing of tax courses and (ii) previous practical experience with filing tax returns. More than half of the students were well to excellently-versed in tax matters, including those who have not completed any more advanced tax courses apart from the elementary tax course. For VAT, the results of statistical tests show that students’ knowledge depends on passing a more advanced course on consumption taxation. On the other hand, the link between experience with tax returns and results of tax literacy tests cannot be unambiguously confirmed or rejected. Within the first statistical test (personal income tax), it was established that students’ knowledge does not depend on previous filing of tax returns; the second test (value added tax) led to the opposite conclusion.

scholarly journals Covid-19 and corporate tax avoidance: Measuring long-run tax burdens as an alternative bailout test

2021 ◽  
Vol 4 (3) ◽  
pp. 216-244
Author(s):  
Subagio Efendi
Keyword(s):  
Financial Aid ◽  
Income Tax ◽  
Tax Avoidance ◽  
Tax Compliance ◽  
Total Sample ◽  
Ordinary Least Squares ◽  
Corporate Tax ◽  
Long Run ◽  
Tax Returns ◽  
Avoidance Measures

This study fills the gap in the tax authority’s Covid-19 financial aid verifications by examining, and nominating, Long-run ETR (Dyreng et al., 2008) as the better corporate tax avoidance measure in excluding tax evader firms from the broad stimulus programs. Analysing confidential tax returns of 4,752 largest firms (32,120 firm-years) in Indonesia over 2009 to 2017 periods, this study found 18.12 percent of total sample firms is able to retain its Long-run ETR below 10 percent, which indicates continual tax avoidance activities by these firms during observation periods. Moreover, applying univariate and multivariate Ordinary Least Squares and Panel Data estimations, this study reveals, relative to other tax avoidance measures, Lagged Cash ETR (Lisowsky, 2010; Lisowsky et al., 2013) present the most consistent reliability in predicting long-run income tax burdens. Thus, this study asserts, in the conditions of computing Long-run ETR is costly and impractical (i.e. because of data unavailability), tax authority and policymakers can directly analyse firms’ Lagged Cash ETR to gauge their long-run income tax burdens and tax compliance behaviours prior the economic downturn. 

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