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Application of selected data mining techniques in unintentional accounting error detection

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Papík M., Papíková L.

Equilibrium. Quarterly Journal of Economics and Economic Policy

2021

vol. 16

issue 1

185-201

Research background: Even though unintentional accounting errors leading to financial restatements look like less serious distortion of publicly available information, it has been shown that financial restatements impacts on financial markets are similar to intentional fraudulent activities. Unintentional accounting errors leading to financial restatements then affect value of company shares in the short run which negatively impacts all shareholders. Purpose of the article: The aim of this manuscript is to predict unintentional accounting errors leading to financial restatements based on information from financial statements of companies. The manuscript analysis if financial statements include sufficient information which would allow detection of unintentional accounting errors. Methods: Method of classification and regression trees (decision tree) and random forest have been used in this manuscript to fulfill the aim of this manuscript. Data sample has consisted of 400 items from financial statements of 80 selected international companies. The results of developed prediction models have been compared and explained based on their accuracy, sensitivity, specificity, precision and F1 score. Statistical relationship among variables has been tested by correlation analysis. Differences between the group of companies with and without unintentional accounting error have been tested by means of Kruskal-Wallis test. Differences among the models have been tested by Levene and T-tests. Findings & value added: The results of the analysis have provided evidence that it is possible to detect unintentional accounting errors with high levels of accuracy based on financial ratios (rather than the Beneish variables) and by application of random forest method (rather than classification and regression tree method).

Determinants of youth unemployment rate: case of Slovakia

81%

Papík M., Mihaľová P., Papíková L.

Equilibrium. Quarterly Journal of Economics and Economic Policy

2022

vol. 17

issue 2

391-414

Research background: The employment rate of young individuals in the labour market has considerably decreased in developed countries recently. Due to lower labour capital, skills, and generic and job-specific work experience, youth consider finding suitable job challenging. If they fail to succeed in the labour market soon after graduation, it leads to long-term unemployment, unstable and low-quality jobs, and even social exclusion. Purpose of the article: This paper aims to analyse the unemployment rate of high school-graduated students and the factors impacting this unemployment rate, such as GDP per capita, total unemployment rate, apartment price per square meter and results from state exams. Identifying the determinants affecting youth unemployment is crucial for theoretical knowledge and for policymakers to ensure youth inclusion in the economic mainstream. As a result, society can reduce social and economic costs and avoid structural problems in the future. Methods: Data about 464 Slovak high schools from National Institute for Certified Educational. Data include the graduate unemployment rate for each high school in Slovakia. Furthermore, two logistic regression models have been developed to investigate the impact of selected factors on high school graduates? unemployment rate immediately after graduation and nine months after graduation. Findings & value added: This paper indicates the existence of statistical dependency between unemployment of high school graduates and overall unemployment rate in the region, GDP per capita in the region, quality of high school education and cost of living in the region immediately after graduation. Analysis of the period nine months after graduation has shown the important decline of education quality provided by high schools. To reduce youth unemployment, the state should focus primarily on improving overall unemployment itself by implementing a dual-learning system, simplifying business opportunities, making part-time work available, or introducing lifelong learning to help transform the economy into a knowledge base.

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2 Equilibrium. Quarterly Journal of Economics and Economic Policy

2 Papík M.

2 Papíková L.

1 Mihaľová P.

1 2022

1 2021

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Application of selected data mining techniques in unintentional accounting error detection

Determinants of youth unemployment rate: case of Slovakia