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Comparison of public budgets in various political cycles in Czech republic between years 1993 - 2015
Masařík, Jan ; Zajíček, Miroslav (advisor) ; Maule, Petr (referee)
The aim of the thesis is to examine possible connections between economic results of public budgets, especially the most important part-state budget, and the course of the political cycle in Czech republic between years 1993 and 2015. The theoretical part is based on the Public choice theory, Theory of public finance and Political-business cycle theory. The practital part focuses on analysis of political situation in each political cycle and then on association with public and state budgets revenues and expenditures, their growth rate and the business cycle. Results of the analysis show that deficits of state budget are predominantly structural based. Moreover, a tendency to influence election results through released fiscal policy is also noticeable in some political cycles, which is consistent with the political-business cycle theory.
Public budgets outcomes and the course of the political cycle in the Czech Republic in years 1993-2010
Kůs, Jan ; Ševčík, Miroslav (advisor) ; Říhová, Vladimíra (referee)
The aim of the thesis is to find possible connections between the financial results of public budgets and the course of the political cycle in the Czech Republic. The analysis for the period of 1993 - 2010 focuses initially on the development of the overall deficit; subsequently the development of selected items of public revenues and expenditures is investigated. A fundamental part of the work is the separation of the cyclical deficit, arising from fluctuations in economic activity and the structural deficit, which is produced through specific measures of government fiscal policy. The results of the analysis indicate that with the approaching elections, there was a greater release of the fiscal policy. During the second half of the electoral cycles have also been reported higher structural deficits. However, the differences are not high enough to be considered as statistically significant.

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