National Repository of Grey Literature 21 records found  1 - 10nextend  jump to record: Search took 0.00 seconds. 
The impact of vaccinations on the development of Covid-19 pandemic
Kulhánek, Vít ; Kalabiška, Roman (advisor) ; Bauer, Michal (referee)
This thesis aims to examine the e ect of vaccination on the development of the Covid-19 pandemic. The three key variables are used as dependent vari- ables: the number of new cases, new deaths, and hospitalization. The dataset containing numerous countries and capturing periods from 2020 to 2022 was obtained, therefore a panel data estimator was employed. Moreover, the Czech Republic and Israel were selected for deeper investigation, and their data were filtered from the dataset. The data structure changed from panel data to time series, so OLS regression was selected as an appropriate method. In all mod- els, vaccination variables and also several others were included in lags because a time gap is necessary to increase individuals' immunity in the case of the vaccine. Last but not least, the excess deaths analysis is created and focuses on investigating excess deaths caused primarily or secondarily by the Covid-19 pandemic. Furthermore, it predicts the amount of money not paid in the form of pensions till 2030 for the elderly who are included in the excess deaths. Fi- nally, it compares this amount of money with the expenditures associated with vaccine purchases. JEL Classification C01, C23, I10, I31 Keywords Covid-19, vaccination, panel data, time series data Title The Impact of Vaccinations on the...
Effects of Population Ageing on the Pension Systems in EU
Králová, Adéla ; Kalabiška, Roman (advisor) ; Palanský, Miroslav (referee)
This bachelor's thesis comprehensively analyses the demographic and economic challenges of selected European countries due to an ageing population. The study involves a demographic projection for the period up to the year 2150, highlighting the anticipated increase in the old-age dependency ratio, thereby imposing a growing burden on the working-age population. The significance of individual demographic variables on the old-age dependency ratio is anal- ysed in the panel data regression, indicating that life expectancy has the most significant impact. The demographic projection is further utilised to construct generational accounts to calculate generation-specific pension payments and ex- penditures. Generational accounts show that increasing payments from younger generations will not be enough to cover future pension expenditures, indicating the long-term unsustainability of the PAYG system.
Wage gap between NBA and WNBA
Báčová, Magdaléna ; Kalabiška, Roman (advisor) ; Pertold-Gebicka, Barbara (referee)
A highly discussed topic of the gender wage gap with a specific focus on professional basketball in the United States is examined in this study. The re- search question asks why and how do the salaries between NBA and WNBA differ. With a final sample of 416 observations from the NBA and 124 from the women's league considering the 2021 season only, an econometric method of Ordinary Least Squares revealed few noteworthy differences in key salary deter- minants. Namely, athletes' peak career age, in regards to earnings, is estimated at the age of 33 in the WNBA and 28 in the case of an NBA player. In addition to that, while points scored appear to be the key salary determinant in both leagues, average minutes played and draft outcome seem to have significance only in the men's league. Alongside with that, the wage gap is estimated at 98.75%. Theoretical part then summarized differences in salary-settings and restrictions. An interesting finding is that men athletes may reach the maxi- mum possible salary being equal to 35% of their league's salary cap, whereas the highest-paid athletes in the WNBA get hold of 16.5% of the league's salary cap only. Additionally, Gini Index of 0.5398 in line with a quantile regression numerically expressed disproportionate distribution of salaries in the NBA. The thesis betokens...
Determinants of Residential Property Prices in Russian Federation
Burešová, Kristina ; Kalabiška, Roman (advisor) ; Hlaváček, Michal (referee)
The thesis investigates the determinants of apartment prices in Russia. We examined the relationships between quarterly apartment prices in the primary and secondary markets and a wide range of explanatory variables using a het- erogeneous panel of 73 regions from 2005 Q1 to 2019 Q4. Because the variables were co-integrated, the long-run relationships were estimated using a panel dynamic OLS. The short-run dynamic was captured by the error correction model. Wages and construction costs were found to be the core determinants of apartment prices in both the primary and secondary markets. Construc- tion costs were dominant in the primary market and wages in the secondary market. Unemployment, age structure, migration, exchange rate index, and existing apartment area per capita were identified as additional price determi- nants. Negative error correction terms implied that, following a market shock, apartment prices would revert to their long-run equilibria. The sample was then divided into subsets containing wealthy and poor regions to test for ro- bustness. The regression results suggested di erent dynamics in the wealthy regions, but otherwise confirmed the results' robustness. Finally, subperiods were subjected to indicative analysis. However, no significant changes were observed following the 2008...
Macroeconomic Determinants of Crime: Evidence from Scandinavia
Hocková, Michaela ; Kalabiška, Roman (advisor) ; Cahlík, Tomáš (referee)
This thesis examines how various macroeconomic and demographic indicators infuence criminality in Scandinavian countries, taking into account existing literature on the determinants of crime in other regions. Using a combination of the vector error correction model and basic panel data techniques, several important fndings are extrapolated both on cross-country and regional levels. Unemployment, infation and divorces infuence the number of homicides and sexual crimes positively but property ofences negatively. Criminality in Scan- dinavia is also negatively related to average age and positively to population density. The importance of individual analyses for diferent global regions and crime types before the implementation of crime reduction policies is highlighted. JEL Classifcation A12, C23, J11, K42, O52, R19 Keywords criminality, panel regression, VECM, regional analysis, Scandinavia Title Macroeconomic Determinants of Crime: Evidence from Scandinavia
Analyzing the Effect of Google Searches on the Czech Real Estate Market
Racocha, Tomáš ; Vacek, Pavel (advisor) ; Kalabiška, Roman (referee)
This thesis examines what effect online search data has on the Czech real estate market, specifically on the number of transactions and apartment prices. A key feature of my work is the analysis of the sampling error associated with Google Trends data which can greatly influence results if not accounted for. To measure the explanatory power of online search data, a set of baseline models using macroeconomic variables was estimated for each specification, and then search indices were added as additional independent variables. In every examined setting, enhancing traditional models with Google Trends data improved model performance in terms of several different evaluation metrics.

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