Formation of a common single market without distortions is one of the main priorities during the integration process of the European Union. For this purpose it is necessary to coordinate activities of all the Members throughout the entire Community ant it should lead to European integration and convergence. The main aim of this work is to verify European formation of the common single market throughout European tax policy in other words, through the convergence of the tax burden. Secondary aim is focused on the question of what impact do convergence of tax mixes and tax competition have on the convergence of the taxation in the EU. For this purposes data from the years of 1965 - 2011 in combination with methods of Beta Convergence, Sigma Convergence and panel regression analysis with fixed effects are used. Results confirm the tax systems convergence and its speed not only in the area of total tax burden but also in tax mixes, implicit tax rates and some statutory tax rates. Panel regression analysis with fixed effects subsequently confirmed the positive impact of the convergence of nearly all tax mixes parts and tax competiton on the total tax burden convergence. The highest impact on the tax convergence was verified at the tax competition and property taxes. All models accomplish diagnostic tests and are econometrically robust. It was confirmed the European Union has been fulfilled its primary aim through the tax policy and under established assumptions the highest impact on tax convergence have tax competition and property taxes.

This study uses aspects of time series methodology to model and forecast major taxes such as Personal Income Tax (PIT), Corporate Income Tax (CIT), Value Added Tax (VAT) and Total Tax Revenue(TTAXR) in the South African Revenue Service (SARS). The monthly data used for modeling tax revenues of the major taxes was drawn from January 1995 to March 2010 (in sample data) for PIT, VAT and TTAXR. Due to higher volatility and emerging negative values, the CIT monthly data was converted to quarterly data from the rst quarter of 1995 to the rst quarter of 2010. The competing ARIMA/SARIMA and Holt-Winters models were derived, and the resulting model of this study was used to forecast PIT, CIT, VAT and TTAXR for SARS fiscal years 2010/11, 2011/12 and 2012/13. The results show that both the SARIMA and Holt-Winters models perform well in modeling and forecasting PIT and VAT, however the Holt-Winters model outperformed the SARIMA model in modeling and forecasting the more volatile CIT and TTAXR. It is recommended that these methods are used in forecasting future payments, as they are precise about forecasting tax revenues, with minimal errors and fewer model revisions being necessary. / Statistics / M.Sc. (Statistics)

This study uses aspects of time series methodology to model and forecast major taxes such as Personal Income Tax (PIT), Corporate Income Tax (CIT), Value Added Tax (VAT) and Total Tax Revenue(TTAXR) in the South African Revenue Service (SARS). The monthly data used for modeling tax revenues of the major taxes was drawn from January 1995 to March 2010 (in sample data) for PIT, VAT and TTAXR. Due to higher volatility and emerging negative values, the CIT monthly data was converted to quarterly data from the rst quarter of 1995 to the rst quarter of 2010. The competing ARIMA/SARIMA and Holt-Winters models were derived, and the resulting model of this study was used to forecast PIT, CIT, VAT and TTAXR for SARS fiscal years 2010/11, 2011/12 and 2012/13. The results show that both the SARIMA and Holt-Winters models perform well in modeling and forecasting PIT and VAT, however the Holt-Winters model outperformed the SARIMA model in modeling and forecasting the more volatile CIT and TTAXR. It is recommended that these methods are used in forecasting future payments, as they are precise about forecasting tax revenues, with minimal errors and fewer model revisions being necessary. / Statistics / M.Sc. (Statistics)

The purpose of this thesis is to compare the personal income tax in the Czech Republic and Slovakia, focusing on the years from 2004 to 2015. The work is divided into two chapters. The first chapter deals with the development and comparison of structural elements of the personal income tax and social security in both countries simultaneously during the period. In the second chapter on model examples of the employee and self-employed individaul is compared the tax burden from 2004 to 2015. For comparison, the tax burden on an employee's is used average tax rate and effective tax wedge. For self-employed person is also calculated average tax rate and total tax burden.

Statistics / M. Sc. (Statistics)