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Demografická charakteristika města Velké Meziříčí
Čižmariková, Žaneta
The topic of the diploma thesis is the demographic characteristics of the city of Velké Meziříčí. The main goal was to evaluate the demographic status and development of the city of Velké Meziříčí in the period 2005–2021. An analysis of the development of key demographic factors of the structure and dynamics of the population was carried out. At the same time, the development of the main demographic indicators was predicted until 2025, by calculating a regression analysis with a linear trend. Other methods used were the Webb diagram and the cohort-component method. The causes and consequences of demographic changes were also discussed at length, and finally, possible measures and recommendations were proposed. The main finding after the demographic analysis of the city of Velké Meziříčí was that the number of inhabitants in the city it is decreasing due to the increasing migration loss (average migration loss -2.8 ‰), which is higher than the natural increase (average natural increase 1.2 ‰). At the same time, the city, like the entire Czech Republic, is struggling with an aging population (the age index in 2005 was 80.5 %; in 2011, 103.4 %; in 2021 120.6 %). However, the finding was that this trend in Velké Meziříčí will decrease in future years.
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Econometric methods of change detection
Dvoranová, Romana ; Prášková, Zuzana (advisor) ; Hušková, Marie (referee)
Detection of structural changes in time series is a topic with increasing pop- ularity among econometricians over the last decades. The main aim of this thesis was to review and compare the classical and modern econometric meth- ods of structural change detection and unit root testing. A recent method for testing a one-time break in at most linear trend function of a series without prior knowledge about the stationary or unit root nature of the error compo- nent proposed by Perron and Yabu (2009b) was studied. Subsequently, it was combined with the unit root test that allows for a break in trend proposed by Kim and Perron (2009) to examine the nature of the error component. All the methods for change detection and unit root testing were compared in a Monte Carlo simulation study that indicated significant improvement in power of the Perron-Yabu and Kim-Perron tests against most alternatives compared to the classical methods. However, all tests demonstrated poor performance in case of a quadratic trend function. Finally, the tests were employed in a practical ex- ample to examine the properties of the quarterly GDP time series of the Czech Republic. 1
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The Analysis of Selected Monthly Temperature Time Series in Europe
Janoutová, Eva ; Helman, Karel (advisor) ; Bašta, Milan (referee)
This Bachelor´s thesis is focused on analysis of time series of monthly mean temperatures and monthly maximum temperatures. These temperatures are observed on eight meteorological stations between the years 1949-2013. The data were obtained from the database of European Climate Assessment & Data. Stations are divided into two groups according to Köppen climate classification. The purpose of this bachelor thesis is to observe and compare the development of individual time series in both groups using basic characteristics and methods based on time series decomposition and to verify that the observed station´s climate type classification is correct. Another aim is to verify the hypothesis that monthly mean temperatures and monthly maximum temperatures has increased in the observed period.
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