National Repository of Grey Literature 2 records found  Search took 0.00 seconds. 
Analysis of debt development in the Czech Republic
Krýslová, Petra ; Bašta, Milan (advisor) ; Helman, Karel (referee)
The aim of this diploma thesis is to analyze the development of the total volume of debt in the Czech Republic and the analysis separately for the household sector and non-financial corporations. From economic theoretical assumptions it can be concluded that there is a correlation between the amount of loans and GDP development or between credit and economic cycle. The thesis is divided into three parts. The first part made up of chapters 1 to 4, describes the theory used further in the text. The second part, Chapter 5, describes the specific time series used in the thesis, i.e. The time series of the volume of debt for the Czech Republic, GDP and interest rates. Interest rates and the volume of debt are further broken down by maturity and also by two selected sectors. The last part, Chapter 6, focusing on co-integration analysis, ADL and error correction models, attempts to capture short-term and long-term relationships between the time series.
Comparison of unemployment in the Moravian-Silesian Region and in the capital city Prague in 2005-2009
Krýslová, Petra ; Löster, Tomáš (advisor) ; Čabla, Adam (referee)
Unemployment is one of the major economic problems of today. Bachelor thesis compares unemployment in the Moravian-Silesian Region and the city of Prague. These regions are chosen because they Moravian-Silesian Region has long been regarded as the region with the highest unemployment rates and Prague with the lowest unemployment rate in the Czech Republic. The aim of this work is to analyze the evolution of unemployment in both regions and individual districts Moravian-Silesian Region in the years 2005-2013 from several perspectives. The work is divided into two parts. The first, theoretical part deals with the characteristics of both the studied regions, concepts related to unemployment and time series. The second, practical part analyzes unemployment using appropriate statistical methods. The data is obtained from the public portal of the Ministry of Labour and Social Affairs.

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