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Crime - environment relationship analysis
Formánek, Tomáš ; Buriánek, Jiří (advisor) ; Podaná, Zuzana (referee)
Crime associated with alcohol consumption poses a serious problem. There is a variety of approaches that try to conceptualize this relationship. One of the most progressive approaches is that of emphasizing the effects of alcohol outlets on crime associated with alcohol consumption. Even though it is a well-established field in other regions, in Czech Republic, there are no available studies dealing with the relationship of alcohol outlets and crime associated with alcohol consumption. This diploma thesis deals with the association of on-premise alcohol outlets and crime in Czech Republic. The unit of analysis used in this diploma thesis was police districts. In the final data set, we had 517 police districts. For all of the police districts, the incidence rates of crime, on-premise alcohol outlet densities and other characteristics were obtained. Analysis by the means of linear regression and geographically weighted regression was performed on data. The results of analysis indicate that on-premise alcohol densities are associated with all examined crime incidence rates (except of road accidents), even after adjusting for other variables. Also, there is a non-trivial spatial variation in data. The regression models had high explanatory power. The results of this diploma thesis imply that it is...
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Skin surface water temperatures determination in selected lakes and reservoirs from satellite data
Formánek, Tomáš ; Kolář, Jan (advisor) ; Brodský, Lukáš (referee)
LAKE SURFACE TEMPERATURE DETERMINED BY SATELLITE IMAGES Abstract The aim of this master thesis is to create a method to determine surface temperature of water in lake Osoyoos (LSWT - Lake Surface Water Temperature). It is necessary to know this temperature in order to make easier decisions in a paradigm of global warming processes. Thanks to LSWT it is possible to make a timeline visualisation of temperature development in years. The first chapter deals with a physical definition of how to get thermal information - the basis of remote thermal sensing is measuring of radiance intensity and it's transformation to brightness temperature. This radiation is not only influenced by atmospheric properties but also by local climatic and meteorological conditions, but it is also influenced by the relief. The thesis seeks to create a method for calculating surface temperature of lake Osoyoos located at Canadian-American border. This calculation is based on data provided by ASTER using a split-window method. The method works with the differences in bands of sensing in order to remove atmospheric influences. This thesis contains several charts, graphs and pictures. The final result of this paper is a map of distribution of lake surface water temperatures. Keywords: Thermal remote sensing, land surface temperature, ASTER, TIR
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Econometric analysis of unemployment in Czech republic
Melnyk, Anastasiia ; Formánek, Tomáš (advisor) ; Sokol, Ondřej (referee)
This bachelor thesis deals with the issue of unemployment in general, and in the practical part concretely - unemployment rate in the Czech Republic and Austria. Firstly, the thesis examines the theory of general concepts for getting acquainted with unemployment in an open economy, then explains different types of unemployment and the factors that cause them. Separately describes Okun's law and introduces the regression equation, which will be verified later on empirical data. Next, it will introduce to us selected econometric methods of unemployment analysis, primarily focusing on the problems of time series, with which it will work in the practical part. Particularly, it will describe general terms in econometrics, techniques of estimation of parameters for regression equation, decomposition of time series and their characteristics, use of dummy variables in econometric modeling, econometric and statistical verification of model. In the practical part empirical analysis and evaluation of the results are going to be performed - firstly, decomposition of time series and proper seasonal adjustment.,then test of time series for unit root and subsequently differentiation for detrending. As a hypothesis, some of the factors described in the theoretical part will be selected:: citizens' level of education, minimum wage, global crisis of 2008, intervention of CNB, and GDP (based on Okun's law). Regression of unemployment rate on individual factors will be run, the model also will be gradually expanded by other variables and will be tested for the unit root and heteroskedasticity. Estimates using the Generalized Least Squares method will be compared to the OLS estimates. Thesis will be summarized by conclusion of the empirical analysis.
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Korelační analýza akciových indexů pomocí Empirical Mode Decomposition
Ulyanin, Alexey ; Černý, Michal (advisor) ; Formánek, Tomáš (referee)
This thesis studies dependence of ?nancial time series, represented by stock indices of geographically separated economics. Daily prices of selected stock indices from 01.05.1988 to 20.04.2017 are used for the analysis. In the fi?rst section the dataset is described. The second section goes through methodology for the analysis, including empirical mode decomposition (EMD) algorithm, with the help of which the initial time series can be transformed into a few time series, that are mostly independent on each other, for further analysis (for example, correlation analysis). EMD is an interesting method of signal processing, which may help to look at the time series analysis from a different perspective. The thesis should extend the work of Guhathakurta et al. (2008) and extend the time scale and number of indices. Correlation analysis is also performed on the initial time series and the transformed ones. The aim of this thesis is to prove, whether stock indices of geographically separated economics have similarities in their behavior and test whether they are dependent on each other, by using methods from Guhathakurta et al. (2008) extended by correlation analysis.
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The Estimation of Probability of Default Using Logistic Regression
Jiřičko, Pavel ; Dlouhá, Zuzana (advisor) ; Formánek, Tomáš (referee)
The aim of the thesis was to build a probability prediction model for client loan repayment. First, the author selected suitable explanatory variables and explained these in detail in the thesis. The author examined various quantities both for qualitative variables (e.g. failure rates and scores) and quantitative variables (e.g. means and standard deviations) describing individual categories. The predictions were done by the use of logistic regression. The estimated coefficients of individual explanatory variables were examined in terms of their statistical significance. The author also described the impact of individual explanatory variables on the probability of a clients default. The probabilities were calculated for two clients with specific values of explanatory variables. The author managed to build a model that can be used to predict probability of client loan repayment defaults.
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The Electoral Success of Far-right in Slovakia: An Empirical Analysis
Osuský, Peter ; Zouhar, Jan (advisor) ; Formánek, Tomáš (referee)
The aim of the thesis is to find factors that were catalysts or inhibitors of the unexpected electoral success of the far-right Slovak party People's Party - Our Slovakia and to create a model that describes its electoral gains elections across districts in the latest 2016 Slovak parliamentary election. For this purpose, methods of linear regression and spatial regression analysis are applied. The thesis concludes that using specific demographic, socioeconomic and in the case of spatial regression as well geographic characteristics of individual electoral districts such as share of population with higher education, share of male population, substantial presence of Roma or Hungarian minority etc., the electoral gains of the party across them can be relatively accurately estimated.
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Municipal budgets in Czech Republic – econometric panel data analysis
Zvariková, Alexandra ; Formánek, Tomáš (advisor) ; Dlouhá, Zuzana (referee)
This paper analyses a panel data of 198 Czech municipalities for the period 2003-2015. The aim is to define determinants of municipalities' tax revenue budgeting errors using static panel data models with fixed and random effect. Czech municipalities have a tendency to underestimate both total and tax revenues. On average, budgeted tax revenues are about 7 % lower than collected revenues during the period under examination. Such action could entail less transparency in budgeting process. Results indicate that structure of tax revenues also plays a role in explaining forecast errors. Further, the analysis shows the impact of electoral cycle and macroeconomic variables on budget deviations.
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Macroeconomic Analysis with Spatial Econometric Approaches
Macková, Simona ; Formánek, Tomáš (advisor) ; Tomanová, Petra (referee)
Spatial econometrics can bring a useful approach to macroeconomic analysis of regional data. This thesis delineates suitable cross-section data models regarding their geographical location. Neighbourhood relation is used for the analysis. The relation of neighbourhood among the regions is expressed using spatial weight matrix. We focus on spatial autocorrelation tests and introduce processes of finding a suitable spatial model. Further, we describe regression coefficients estimates and estimates of spatial dependence coefficients, especially method of maximum likelihood estimates. Besides illustrative examples we apply chosen basic spatial models on real macroeconomic data. We examine how they describe relation between household incomes, GDP and unemployment rate in western Europe. Results are compared with a linear regression model.
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Application of consumption function on CR
Poncar, Jaroslav ; Hušek, Roman (advisor) ; Formánek, Tomáš (referee)
Consumer function is a standard instrument of quantitative economic analysis to examine the relationship between consumer expenditure and income or other influencing factors such as liquid assets, interest rates or various demographic and social factors. In this thesis are presented the most frequently used methods in econometric analysis of consumption function. Attention is paid to the hypothesis of absolute income, relative income, life cycle, permanent income, rational expectations and consumption function based on the error correction model. Furthermore, the suitability of individual models for the current economic situation in the Czech Republic is assessed. Subsequently an empirical model of consumption function for the Czech Republic is designed and tested. Furthermore, the estimates of each consumption function model for the period before and after economic crisis of 2008-2009 are performed and compared. Finally, a short-term prediction of the consumption of Czech households is made.
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Analysis of international map portals
Formánek, Tomáš ; Čábelka, Miroslav (advisor) ; Kříž, Jan (referee)
Analysis of international map portals Abstract The aim of this thesis is to analyse chosen foreign map portals and compare them with Czech ones. The selection of states realizing map portals is mixed. There are states with tradition in cartography, advanced technology level, growing economics etc. At first there are explained methodology, criterions of analysis and defined final score. Then reader can find process of analysis and results of this process, there is rating of map portals too. In the end hypothesis are resolved and results are summarized. Graphic objects like a charts, graphs and pictures are inserted. Keywords: map server, map portal, web, internet, foreign map portals
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