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Determinants of pharmaceutical expenditures on cardiovascular diseases
Gogilashvili, Nino ; Chalupka, Radovan (advisor) ; Votápková, Jana (referee)
The thesis analyzes the determinants of pharmaceutical expenditures on cardiovascular diseases with particular focus on Central Europe. We show how the pharmaceutical expenditure varies across the countries. We try to empirically verify that factors such as age, GDP, total health expenditure, education and prevalence of a particular disease cause the variation. Applying the fixed effect model on selected countries in the period 2000-2009, we find that the increase in pharmaceutical expenditures on cardiovascular diseases is explained mainly by aging population and prevalence of the diseases. Additionally, countries with higher GDP tend to also have somewhat higher pharmaceutical expenditures on cardiovascular diseases. Key words Pharmaceutical expenditures, cardiovascular diseases, GDP, health expenditure, fixed effect model, prevalence of a disease, aging of population.
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Subsidies of the Czech Food Sector in a Context of the European Funds and Their Impact
Náglová, Zdeňka ; Rosochatecká, Eva (advisor) ; František, František (referee)
Dissertation deals with the food industry. First, the economy of the sector in the branch structure and size of businesses is evaluated. The main attention is paid to the drawing subsidies by the food industry in the context of EU funds. The main objective of this thesis is to evaluate the effect of the subsidies on the economy of the food business. For the analysis fixed effect model was used. According to the results, there are significant differences in the impact of subsidies on the individual branches of the food industry. In most fields was demonstrated their ineffective use to increase business performance.
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Are Recessions Good for Your Health?
Kopecká, Petra ; Bartoň, Petr (advisor) ; Rotschedl, Jiří (referee)
The aim of this study was to analyze the impact of macroeconomic conditions on mortality from different causes during the period 1991-2007 by the same way as Ruhm (2000) did his analysis for the period 1972-1991 and then compare the results of these two analysis. Using the model with fixed effects panel data from 50 U.S. states and the District of Columbia was tested. Results of the analysis in this work were distorted due to autocorrelation, which could not be removed. It was therefore only possible to evaluate the results of the analysis of total mortality and mortality due to suicide and murder. Ruhm (2000) showed pro-cyclical nature of total mortality, as well as eight of the ten causes of death. In the analysis performed in this work pro-cyclicity was proved only in total mortality rate. Mortality due to suicide and murder proved to be countercyclical in the period 1991-2007.
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