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Síťový a substituční efekt na kryptoměnových trzích
Vařejka, David
Vařejka, D. Network and substitution effect on cryptocurrency markets. Diploma thesis. Brno: Mendel University, 2023. This thesis examines the extent of substitution and network effects in the cryptocurrency market. These phenomena are investigated based on the relationships of individual cryptocurrency returns and other sentiment indicators. The theoreti-cal part of the thesis characterizes the network and substitution effects and further describes the consequences of their effects on the cryptocurrency market. The empirical part of the thesis is based on panel regression analysis with fixed effects. The dataset under study contains 31 cryptocurrencies for the period from the fourth quarter of 2017 to the first quarter of 2023. The selected data is weekly in nature. The results of the empirical analysis confirm the statistical significance of the included variables, the overall robustness of the model, and point to a long-lasting substitution effect in the cryptocurrency market.
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Determinants of generic drug substitution in the Czech Republic
Žílová, Pavlína ; Votápková, Jana (advisor) ; Bryndová, Lucie (referee)
This study uses logistic regression to estimate the probability of choosing the brand-name drug despite the presence of cheaper generics given patient and drug characteristics in the Czech pharmaceutical market in the period 2009-2013. Results of the analysis may help guide policies to decrease pharmaceutical costs. In order to motivate people who are more likely to choose the original version of drug, policy makers may impose higher copayments and lower subsidies on the original drugs which they use. Additionally, two supplementary analyses were applied to sub-sectors of the pharmaceutical market: antihypertensive drugs and antibiotics. Fixed effects logistic regression is employed to test the robustness of the results.
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Determinants of generic drug substitution in the Czech Republic
Žílová, Pavlína ; Votápková, Jana (advisor) ; Bryndová, Lucie (referee)
This study uses logistic regression to estimate the probability of choosing the brand-name drug despite the presence of cheaper generics given patient and drug characteristics in the Czech pharmaceutical market in the period 2009-2013. Results of the analysis may help guide policies to decrease pharmaceutical costs. In order to motivate people who are more likely to choose the original version of drug, policy makers may impose higher copayments and lower subsidies on the original drugs which they use. Additionally, two supplementary analyses were applied to sub-sectors of the pharmaceutical market: antihypertensive drugs and antibiotics. Fixed effects logistic regression is employed to test the robustness of the results.
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Are more children being born during economic recessions? The example of the United States of America
Mihalko, Jan ; Stroukal, Dominik (advisor) ; Kovanda, Lukáš (referee)
The thesis focuses on the issue of individuals' preferences regarding the acquisition of a child during the business cycle expressed in unemployment rates for men and women. Fixed effects model involving robust estimates of standard deviations on a panel dataset tested for the period 1980-2012 confirmed the significance of the relationship between sex-specific unemployment rates and fertility rate of the United States of America. The results of the analysis show a negative relationship documenting pro-cyclical nature of the fertility. There is a less willingness of couples to conceive a child with the growth in unemployment. It does not show the prevalence of substitution effect of reducing opprtunity costs for women during the recession over the effect of reduction in income. Among other statistically significant variables that affect fertility belong the degree of attainment of university education, the poverty rate and abortion rate.
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