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Sustainable Development Goal 7: Affordable and Clean Energy Panel Data Analysis
Křížková, Alžběta ; Cahlík, Tomáš (advisor) ; Moravcová, Michala (referee)
This thesis analyses the seventh Sustainable Development Goal: Affordable and Clean Energy. Four empirical models are built, each for one indicator. They are then evaluated using panel data analysis for all member states of the UN. The research question it seeks to answer is: "What characteristics have major impact on providing electric energy and other energy related benefits?" We found that in most of the cases, the proportion of urban population and the Human Development Index have a major impact on the indicators. Unlike any previous study dealing with similar topics, this paper analyses the whole goal with its four indicators, not just one particular energy aspect. That allows us to look for interconnection and common features between indicators and their influences.
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Analysis of Health Quality Indicators in the Framework of Sustainable Development Goals
Šanderová, Lucie ; Cahlík, Tomáš (advisor) ; Aliyev, Shahriyar (referee)
This thesis studies two indicators of good health and well-being embedded in the United Nations 2030 Agenda for Sustainable Development; suicide mortality rate and harmful use of alcohol. Firstly, socio-economic determinants of suicide mortality rate and alcohol per capita consumption in countries of the European Union are analysed. As an econometric approach, panel data methods are utilized. Among selected economic and socio-demographic variables, suicide mortality rate is found sensitive to unemployment rate, whilst economic growth, fertility rate and female labour participation rate are concluded not have a significant impact. Model of alcohol consumption confirms relatively higher sensitivity to changing income than to alcohol price level. First differencing estimation produces income and price elasticity within range of prior estimates. Secondly, an ARIMA forecast is performed for the EU and its member states to assess current prospects of attaining targets corresponding to the two health quality indicators in question by year 2030. For the EU collectively, forecasts suggest rather favourable development, although considerable disparities are present among individual member states.
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How Smart will be Europe 2020? A Panel Data Analysis.
Marková, Veronika ; Cahlík, Tomáš (advisor) ; Moravcová, Michala (referee)
This thesis analyses the targets for education under Europe 2020 strategy - early leavers from education and tertiary education attainment. The main objective is to predict the future development for these indicators up to 2020 and answer the question whether these targets will be fulfilled. From the empirical perspective, it applies econometric analysis of panel data based on human capital theory, that relates the education level of an individual with the parental education and the labour market conditions.
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Development of cognitive abilities in the Czech Republic based on data of SHARE
Sirotková, Lucie ; Malá, Ivana (advisor) ; Sobíšek, Lukáš (referee)
This master thesis deals with the description and analysis of the cognitive abilities of persons over 50 years of age in the Czech Republic. The aim of this work is to present the readers the panel data and their use in the analysis of cognitive abilities. For the purpose of the analysis, data from Survey of Health, Ageing and Retirement in Europe (SHARE) are used. In the theoretical part, panel data, cognitive abilities and SHARE survey are generally described. The practical part is divided into four parts. The first one deals with descriptive analysis of individual blocks from the cognitive function module published in the SHARE. Characteristics: age, gender, education and the number of activities are then described, whose impact on cognitive abilities is tested. The third part focuses on the construction of an index of cognitive abilities. The main part of the thesis is focused on the use of panel data analysis for the modeling of dependence between the index of cognitive abilities and other characteristics. In total, three different models are compiled, which are subsequently compared to each other and tested on new data. The results show that age has a great impact on cognitive abilities. Furthermore, there is a proven impact of education and the number of activities carried out. The influence of gender is only significant in two of the three models.
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Quality of Life for European Populations older than fifty years
Svobodová, Veronika ; Malá, Ivana (advisor) ; Miskolczi, Martina (referee)
This master thesis deals with research of Subjective Quality of Life for population fifty years old or more, depending on the selected demographic, social and economic indicators. More and more people live to the older ages, and thus important question of living conditions and well being of this ageing population comes forward. General concept of Quality of Life of older people is described on wide theoretical scale with focus on the cause of the phenomenon, Demographic Ageing of populations. The Demographic Ageing is described not only on the theoretical level, but also in a quantitative way. There are specific fertility rates introduced according to an age of a mother while birth giving, or still increasing Life Expectancy at Birth for both males and females. To explore the dependencies of Subjective Quality of Life on selected indicators, there is a statistical model introduced. The input indicators come from the European panel data research Survey of Health, Ageing and Retirement in Europe. Techniques used for analyzing the data are Analysis of variance for one single wave (held around year 2013) and Panel data analysis for all available waves (from 2004 to 2013). The results from both analyses for the Czech Republic are compared with results for selected countries, Germany, Sweden, Spain, Italy and Greece. From the SHARE data set can be read the following results. The variable Age significantly influences all included models for all selected countries, the similar influence can be observed for the Education. For almost all countries and models is proving of the significant influence of Gender to Subjective Quality of Life indefinite (we are not able to observe significant influence). Also the influence of the variable Living alone/with other people is not perfectly convincing. On the other hand, significantly observable categories are Unemployed and Permanently sick or disabled. The question of Quality of Life is related to all parts of population. While the number of older people in population increases, this question of the quality of their lives becomes more and more important. The way how to secure those needed, powerless and often vulnerable people in a decent way and with dignity is not easy.
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Stock Price Sensitivity of European Oil Companies to Oil Prices
Martinek, Tomáš ; Pošta, Vít (advisor) ; Hořejší, Bronislava (referee)
The aim of this thesis is to investigate stock price sensitivity of 50 European companies to oil price changes using panel data analysis. Besides that, this Thesis compares sensitivities of different groups of companies. The first comparison is between Eastern and Western European companies. The second comparison is between different segments of the oil industry. Specifically, Upstream, Midstream, Downstream segment and integrated oil companies. The main finding of this thesis is that there is a positive dependence between oil price and stock prices of European oil companies. Moreover, there is a significant difference between sensitivity of Upstream and integrated companies. However, no significant difference in sensitivity of western and eastern European comapnies was found.
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A Panel Data Analysis of Sub-Saharan Africa's Economic Growth
Hostačný, Jakub ; Cahlík, Tomáš (advisor) ; Bobková, Božena (referee)
This thesis examines the relationship between real GDP per capita growth rate of Sub-Saharan Africa countries and various variables suggested by theoretical literature related to Solow model or endogenous growth theories. The set of most commonly used variables is further extended by additional variables which have not been given an ample attention in the context of analysis of SSA countries' economic growth so far. The econometric analysis uses unbalanced panel data set comprising annual observations on 45 SSA countries between 1980 and 2011 applying a simple pooled OLS and FE estimation. We also touch IV estimation to address endogeneity problem. Moreover, we test the sensitivity of parameter estimates. Along with the analysis of total set of SSA countries, we subgroup countries into 4 groups - oil exporters, middle-income countries, non-fragile low-income countries and fragile countries. We present results for each group. The results support the findings of earlier empirical studies related to most commonly variables associated with economic growth, except the negative effect of population growth rate and conditional convergence hypothesis. The analysis of additional factors reveals the strong relevance of latitude, colonial heritage and landlockedness, while no systematic effect of neither...
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The world turned upside down
Nettwallová, Dominika ; Cahlík, Tomáš (advisor) ; Krištoufek, Ladislav (referee)
1 Bibliographic record NETTWALLOVÁ, Dominika. The World Turned Upside Down. Prague, 2013. 56 pg. Bachelor thesis (Bc.) Charles University in Prague, Faculty of Social Sciences, Institute of Economic studies. Supervisor: doc. Ing. Tomáš Cahlík, CSc. Abstract This bachelor thesis is dedicated to China and to the determinants of its GDP growth. During 20th century, this formerly developing country has earned a place among economic giants. The following report, quietly admiring such achievement, is focused on analysis of individual growth factors and causes of their development; and followed by quantitative estimation of their size. The main topic, then, is a triad of factors - R&D, education and human capital - projected on the Chinese economy via several chosen econometric methods. JEL Classification C33, I25, J01, O15, O32, O40, O53 Keywords China, economic growth, R&D, labour force, education, panel data analysis Author's e-mail d.nettwall@gmail.com Supervisor's e-mail cahlik@fsv.cuni.cz
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