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Vliv vynaložených finančních prostředků na výsledky voleb
Novák, Ondřej
This bachelor thesis deals with the quantification of the influence of spent funds on the results of elections in the Czech Republic and political marketing. The aim is to evaluate the relationship between finances and votes obtained in elections. The first part explains the concepts of political marketing. Subsequently, data from the presidential, senate and parliamentary elections to the European Parliament and the Chamber of Deputies of the Czech Republic are statistically processed. These data are commented and subsequently also transferred to the general level of elections in the Czech Republic. Recommendations are also made for setting up a successful election campaign.
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Financing of Political Parties
Remeš, Stanislav ; Dufek, Luboš (advisor) ; Pavel, Jan (referee)
This work discusses the financing of political parties. Therefore, we can find basic terms, principles and functioning of funding here as well as every single style of financing and its divisions. It is followed by analysis of data of selected political parties for the period of the years 2006 - 2015. There is always picked one year with parliamentary elections and one close-by with none elections. The culmination of my work is comparison of the observed results and assessment of dependence of whole income derived from one election on election expenses. It is obvious that the final results show significant statistical dependence.
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Does campaign spending have any impact on election outcome ?
Dušek, Ondřej ; Hronza, Martin (advisor) ; Kovanda, Lukáš (referee)
This Thesis analyzes the impact of campaign spending of political parties on election outcome. The Thesis uses data from the Parliamentary library of the Chamber of Deputies of the Czech republic, annual reports of political parties and from the Czech Statistical Office. For the first estimation, a method of Ordinary Least Square is used, consequently the equation of the model is edited using instrumental variables, in order to eliminate endogeneity. A new regression is estimated using Two-Stage Least Squares method. After the editing, all the explanatory variables are corelated and insignificant, although, the model itself works. In the end, this work did not succeed in measuring a predicted positive impact of campaign spending on election outcome. This "non-result result" shows the importance of an extensive dataset, which would allow an alternative approach to modelling and eliminating strong multicollinearity in the model.
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