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Selected social determinants of health in immigrants in some regions of the Czech Republic
BRABCOVÁ, Iva
The main aim of the research was to map the influence of selected social determinants on health of target immigrant groups. The method was based on the concept of ten social determinants of health as introduced by Wilkinson and Marmot (2003). The quantitative method used were interviews. The survey was carried out in the period from January 2010 to December 2012. Data collection was carried out in two stages. In the first stage, the influence of two social determinants of health (nutrition and addiction) on the respondents' state of health was investigated. The second stage of the survey focused on working conditions and on how respondents can use health care. 246 immigrants were interviewed in the first stage of the survey. They were from the following regions: South Bohemian Region, the capital Prague and Vysočina Region. 236 immigrants from two regions (South Bohemian Region and the capital Prague) were addressed in the second stage of the survey. They were legally settled immigrants in the age group 18 65, of Vietnamese, Mongolian and Ukrainian nationality. The results of the survey clearly show that the target immigrant groups are more exposed to unfavorable working conditions than majority population. Compared to the Czech population the target immigrant groups show statistically significant differences especially in the area of excessive workload and discrimination in the workplace. Increasing incidence of unfavorable working conditions resulted in significant increase in occupational diseases. The factors influencing use of healthcare by immigrants are the type of health insurance, length of residence, sex and knowledge of Czech language. Immigrants who had entered the system of public health insurance used healthcare much more frequently than immigrants with commercial health insurance. Male immigrants smoke and drink alcohol much more heavily than female immigrants. The young generation of immigrants (aged 18 to 29) smoke statistically more significantly than the middle-aged and older generation of immigrants. Middle-aged immigrants (aged 30 to 50) consume more wine and spirits. Their health was perceived subjectively as "worse" by those respondents who at the same time mentioned chronic pain and psychic stress in the workplace. The following measures could lead to elimination of social inequality and to improvement of immigrants' situation in the Czech Republic: equal working conditions for immigrants and Czech employees, improvement of immigrants' knowledge of Czech, shortening of the overall time for obtaining permanent residence, simplification of the terms for gaining citizenship, guarantee of access to public healthcare to all legally settled immigrants.
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Estimate VAT selection after the introduction of electronic evidence of sales in the Czech Republic from 2016
Píchal, Dominik ; Pikhart, Zdeněk (advisor) ; Zeman, Martin (referee)
The Bachelors Thesis focuses on the topic of the tax collection and other subjects that are related to the topic like underground economy, tax evasion and other instruments that lead to the efficiency improvement of the tax collection. Electronic evidence of taxes in Czech is the kind of the instrument that aims towards the increase of the tax collection and improvement of the control of the taxpayer. Comparation and analysis was used for its methodological basis. Analysis and comparison serves as the proof that the thesis, of the electronic evidence of taxes beeing an effective instrument, is correct. The merit of the thesis is an overall description of the chosen phenomena affecting the tax collection, description of the models of electronic evidence of taxes from abroad and most importantly description and analysis of the upcoming czech one.
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The American Foreign Policy with the Middle East : from the earliest days to the Obama’s mandate
Petraud, Jean-Félix ; Eichler, Jan (advisor) ; Dubský, Zbyněk (referee)
The following dissertation is an attempt of analysis and understanding of the foreign policy of the United States in the Middle East region and its evolution through time. Considering the fact that the Middle East region is or at least used to be a vital region for the United States national interests, the dissertation presents an exhaustive list of major events that have been major shifts in the US foreign policy in the region. The more or less chronological timeline allows the reader to have a better understanding of the evolution of the US foreign policy. The result of the dissertation is the identification of different patterns of foreign policy and to put the spot on the reasons of the changes of these patterns. Nevertheless, the history of the Middle East region and the incredible number of major events through the 2Oth century and the early 21st century make impossible to deal with all of them. Moreover, analysis and comments are based on academic research, but the dissertation remains subjective and may lead to discussions and debates.
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Doing business while studying
Kopecká, Adéla ; Kašparová, Eva (advisor) ; Novák, Pavel (referee)
This thesis is written about factors, which leads people doing business while studiing. It is more actual then ever and it is more and more popular between people. This thesis tries to find out which factors are important, that student starts his/her own business. This thesis is devided to two parts. the first one is teoretical and second one is practical. Teoretical part is about business and motivation. The aim of second part is to identifie and examine factors of motivation doing business, analysis of current situation in Czech republic and analysis of business support also in Czech republic and abroad.
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Clustering and regression analysis of micro panel data
Sobíšek, Lukáš ; Pecáková, Iva (advisor) ; Komárek, Arnošt (referee) ; Brabec, Marek (referee)
The main purpose of panel studies is to analyze changes in values of studied variables over time. In micro panel research, a large number of elements are periodically observed within the relatively short time period of just a few years. Moreover, the number of repeated measurements is small. This dissertation deals with contemporary approaches to the regression and the clustering analysis of micro panel data. One of the approaches to the micro panel analysis is to use multivariate statistical models originally designed for crosssectional data and modify them in order to take into account the within-subject correlation. The thesis summarizes available tools for the regression analysis of micro panel data. The known and currently used linear mixed effects models for a normally distributed dependent variable are recapitulated. Besides that, new approaches for analysis of a response variable with other than normal distribution are presented. These approaches include the generalized marginal linear model, the generalized linear mixed effects model and the Bayesian modelling approach. In addition to describing the aforementioned models, the paper also includes a brief overview of their implementation in the R software. The difficulty with the regression models adjusted for micro panel data is the ambiguity of their parameters estimation. This thesis proposes a way to improve the estimations through the cluster analysis. For this reason, the thesis also contains a description of methods of the cluster analysis of micro panel data. Because supply of the methods is limited, the main goal of this paper is to devise its own two-step approach for clustering micro panel data. In the first step, the panel data are transformed into a static form using a set of proposed characteristics of dynamics. These characteristics represent different features of time course of the observed variables. In the second step, the elements are clustered by conventional spatial clustering techniques (agglomerative clustering and the C-means partitioning). The clustering is based on a dissimilarity matrix of the values of clustering variables calculated in the first step. Another goal of this paper is to find out whether the suggested procedure leads to an improvement in quality of the regression models for this type of data. By means of a simulation study, the procedure drafted herein is compared to the procedure applied in the kml package of the R software, as well as to the clustering characteristics proposed by Urso (2004). The simulation study demonstrated better results of the proposed combination of clustering variables as compared to the other combinations currently used. A corresponding script written in the R-language represents another benefit of this paper. It is available on the attached CD and it can be used for analyses of readers own micro panel data.
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Míry podobnosti pro nominální data v hierarchickém shlukování
Šulc, Zdeněk ; Řezanková, Hana (advisor) ; Šimůnek, Milan (referee) ; Žambochová, Marta (referee)
This dissertation thesis deals with similarity measures for nominal data in hierarchical clustering, which can cope with variables with more than two categories, and which aspire to replace the simple matching approach standardly used in this area. These similarity measures take into account additional characteristics of a dataset, such as frequency distribution of categories or number of categories of a given variable. The thesis recognizes three main aims. The first one is an examination and clustering performance evaluation of selected similarity measures for nominal data in hierarchical clustering of objects and variables. To achieve this goal, four experiments dealing both with the object and variable clustering were performed. They examine the clustering quality of the examined similarity measures for nominal data in comparison with the commonly used similarity measures using a binary transformation, and moreover, with several alternative methods for nominal data clustering. The comparison and evaluation are performed on real and generated datasets. Outputs of these experiments lead to knowledge, which similarity measures can generally be used, which ones perform well in a particular situation, and which ones are not recommended to use for an object or variable clustering. The second aim is to propose a theory-based similarity measure, evaluate its properties, and compare it with the other examined similarity measures. Based on this aim, two novel similarity measures, Variable Entropy and Variable Mutability are proposed; especially, the former one performs very well in datasets with a lower number of variables. The third aim of this thesis is to provide a convenient software implementation based on the examined similarity measures for nominal data, which covers the whole clustering process from a computation of a proximity matrix to evaluation of resulting clusters. This goal was also achieved by creating the nomclust package for the software R, which covers this issue, and which is freely available.
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Use of Interest Rate Models for Interest Rate Risk Management in the Czech Financial Market Environment
Cíchová Králová, Dana ; Arlt, Josef (advisor) ; Cipra, Tomáš (referee) ; Witzany, Jiří (referee)
The main goal of this thesis is to suggest an appropriate approach to interest rate risk modeling in the Czech financial market environment in various situations. Three distinct periods are analyzed. These periods, which are the period before the global financial crisis, period during the financial crisis and in the aftermath of the global financial crisis and calming subsequent debt crisis in the eurozone, are characterized by different evaluation of liquidity and credit risk, different relationship between financial variables and market participants and different degree of market regulations. Within this goal, an application of the BGM model in the Czech financial market environment is crucial. Use of the BGM model for the purpose of predicting a dynamics of a yield curve is not very common. This is firstly due to the fact that primary use of this model is a valuation of interest rate derivatives while ensuring the absence of arbitrage and secondly its application is relatively difficult. Nevertheless, I apply the BGM model to obtain predictions of the probability distributions of interest rates in the Czech and eurozone market environment, because its complexity, direct modeling of a yield curve based on market rates and especially a possibility of parameter estimation based on current swaptions volatilities quotations may lead to a significant improvement of predictions. This improvement was also confirmed in this thesis. Use of swaptions volatilities market quotations is especially useful in the period of unprecedented mone- tary easing and increased number of central banks and other regulators interventions into financial markets that occur after the financial crisis, because it reflects current market expectations which also include future interventions. As a consequence of underdevelopment of the Czech financial market there are no market quotations of Czech koruna denominated swaptions volatilities. I suggest their approximations based on quotations of euro denominated swaptions volatilities and also using volatilities of koruna and euro forward rates. Use of this approach ensures that predictions of the Czech yield curve dynamics contain current market expectations. To my knowledge, any other author has not presented similar application of the BGM model in the Czech financial market environment. In this thesis I further predict a Czech and Euro area money market yield curve dynamics using the CIR and the GP models as representatives of various types of interest rates models to compare these predictions with BGM predictions. I suggest a comprehensive system of three criteria, based on comparison of predicti- ons with reality, to describe a predictive power of selected models and an appropria- teness of their use in the Czech market environment during different situations in the market. This analysis shows that predictions of the Czech money market yield curve dynamics based on the BGM model demonstrate high predictive power and the best 8 quality in comparison with other models. GP model also produces relatively good qua- lity predictions. Conversely, predictions based on the CIR model as a representative of short rate model family completely failed when describing reality. In a situation when the economy allows negative rates and there is simultaneously a significant likelihood of their implementation, I recommend to obtain predictions of Czech money market yield curve dynamics using GP model which allows existence of negative interest rates. This analysis also contains a statistical test for validating the predictive power of each model and information on other tests. Berkowitz test rejects a hypothesis of accurate predictions for each model. However, this fact is common in real data testing even when using relatively good model. This fact is especially caused by difficult fulfilment of test conditions in real world. To my knowledge, such an analysis of the predictive power of selected interest rate models moreover in the Czech financial market environment has not been published yet. The last goal of this thesis is to suggest an appropriate approach to obtaining pre- dictions of Czech government bonds risk premium dynamics. I define this risk premium as a difference between government bond yields and fixed rate of CZK IRS with the same length. I apply the GP model to describe the dynamics of this indicator of the Czech Republic credit risk. In order to obtain a time series of the risk premium which are necessary for estimation of GP model parameters I firstly estimate yield curves of Czech government bonds using Svensson model for each trading day since 2005. Resulting si- mulations of risk premium show that the GP model predicts the real development of risk premiums of all maturities relatively well. Hence, the proposed approach is suitable for modeling of Czech Republic credit risk based on the use of information extracted from financial markets. I have not registered proposed approach to risk premium modeling moreover in the Czech financial market environment in other publications.
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Optimalization of material flow in automotive industry
Kolář, Tomáš ; Jirsák, Petr (advisor) ; Vinš, Marek (referee)
This master thesis is focussed on optimalization of material flow in an automotive company. First part introduce theoretical background. Automotive industry and its actual trends on global markets. Follows short introduction of the company where project of this thesis was executed. Main theoretical part describes concept of lean management, its tools in practical examples, but it is also focussed on philosophical approach to the work and mindset of the company. Follows the aplication part based on theoretical background. The whole project of this master thesis is focussed on specific area called PC store. At first this area is showed in context of overall material flow. Shortly there are introduced processes and areas where full material packaging flows. Follows deeper analysis and optimalization of PC store itself. There are three approaches of stock and lead time reduction applied. Last part shows the comparison of initial and future state including performed changes.
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Výběr a implementace open source nástroje pro řízení portfolia projektů
Marek, Jan ; Chlapek, Dušan (advisor) ; Kučera, Jan (referee)
Methods and ways of implementation of changes and innovations in companies through project management are in today's society very well established. There exists methodologies, techniques and tools for the management of individual projects. However in a role of project manager, I very often faced the fact that companies are performing the project portfolio management in very intuitive way. This in itself leads to failed and prematurely terminated projects, initiation of the wrong projects or realisation of correct projects, but at the wrong time. Very often I have also recognized, that there is lack of awareness of fact, that there are also Open Source applications that can help with the organization's portfolio. This thesis deals with the definition of requirements, search and selection of proper OSS application and subsequent implementation. In the first part of this thesis I prepare a theoretical framework about PPM, and on that basis then identify and verify a set of requirements for selection of right OSS PPM application. The next section of thesis describes searching for suitable applications from a variety of sources, assessment against the requirements and the final selection. In the last part the implementation project is drafted, which aims to serve other colleagues in project management as one of the possible implementation paths. The outputs are then continuously confronted with experts in matter of projects and project management in the field of IT in order to maximize symbiosis between theory and real life experiences. Virtually every project management methodology defines the collection of already-proven techniques, best practices or lessons learned from the previous similar implementations. The main contribution of this thesis I see in fact that it contains not only the design of the project implementation, but also describes a logical path, what leads to the result. Therefore this thesis could be used as a base or discussed best practice, when a project of implementation of PPM application in place.
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