The economic evaluation of a new airport investment requires the use of estimated future air passenger demand.Today it is well known that air passenger demand is basicly dependent on various socioeconomic factors of the country and the region where the planned airport would serve. This study is focused on estimating the future air passenger demand for planned airports in Turkey where the historical air passsenger data is not available.For these purposses, neural networks and multi-linear regression were used to develop forecasting models. As independent variables,twelve socioeconomic parameters are found to be significant and used in models. The available data for the selected indicators are statistically analysed and it is observed that most of the data is highly volatile, heteroscedastic and show no definite patterns. In order to develop more reliable models, various methods like data transformation, outlier elimination and categorization are applied to the data.Only seven of total twelve indicators are used as the most significant in the regression model whereas in neural network approach the best model is achieved when all the twelve indicators are included. Both models can be used to predict air passenger demand for any future year for Or-Gi and Zafer Airports and future air passenger demand for similar airports. Regression and neural models are tested by using various statistical test methods and it is found that neural network model is superior to regression model for the data used in this study.

The diploma thesis describes migration and migration policy development of the Czech and Slovak republic, as well as theoretical studies dealing with migration effects on the labour market and on public finance of the migrants' destination countries. The core of the diploma thesis is an analysis of the relationship between macroeconomic indicators of the analysed countries and their migration flows, analysed by the regression analysis. The regression analysis is followed by a specific quantification of a potential impact of migration flows increase on public finance of the analysed countries. The main contribution of this diploma thesis is that it points out the connection between fiscal policy, migration flows and public finance of analysed countries. The main data sources are the OECD (2014) and EUROSTAT (2014) database and the analysed period is the year 1998 to 2012. I have come to the conclusion that there is a linear relationship between the increase of the selected macroeconomic indicators and migration flows of the analysed countries in case of the Czech and Slovak republic. This increase has negative or positive impact on their public finance, depending on type of increased macroeconomic indicator.

Purpose- This thesis aims to identify the role of the Balanced Scorecard (BSC) for managing strategy risks as well as the types of strategy risks that can be managed using four perspectives of the BSC in the Iranian Petroleum Industry Equipment Manufacturers (IPIEM). Design/ approach/ methodology- In this thesis cross-sectional design and the deduction approach are used. For collecting data for quantitative analysis, a questionnaire was conducted by the research team. Then the data collected from respondents were then analyzed through running simple linear regression analysis in the SPSS software. Findings- The first research question (RQ) is about BSC’s roles in managing strategy risks in IPIEM. These roles are risk assessment, risk controlling and collecting data for decision making of strategy risks. It was proved by the research team that BSC can play a role of the assessment of strategy risks in IPIEM. This means by using BSC as an RM tool in IPIEM, companies can assess strategy risks through identifying, analysing and evaluating strategy risks. However, the results indicate risk controlling and collecting data for decision making cannot be managed by using BSC. The second Research question is about the types of strategy risks that four perspectives of BSC can manage. The results show that from the 8 strategy risks chosen for this thesis, 6 of them which are “liquidity risk” from the financial perspective; “risk of clients’ opposition to pilot testing of the product” from the customer perspective; “risk of improper design of the product at development stages”, and “risk of improper selection of international partners” from the internal perspective; “risk of incorrect evaluation & selection of technology options” and “the risk of not enough operational experience in similar previous projects” from the learning and growth perspective can be managed through using BSC as an RM tool in IPIEM. Based on the conclusion of RQ1, the effect can now be adjusted into RQ2 findings. This study concludes that IPIEM can use BSC for risk assessment of the above-mentioned six different strategy risks. It can also be concluded that the BSC cannot be a full RM tool for managing strategy risks in the companies, since it only can apply for one of the three processes of RM; risk assessment.

Diese Dissertation untersucht einen möglichen Zusammenhang zwischen dem beschriebenen klinischen Verlauf bei Patienten mit konstitutiv aktivierenden TSH-Rezeptormutationen und der gemessenen in vitro Aktivität. Konstitutiv aktivierende Mutationen finden sich als somatische Mutationen in autonomen Adenomen und als Keimbahnmutationen bei Patienten mit sporadischer bzw. familiärer nicht-autoimmuner Hyperthyreose. Die in vitro Aktivität der zu Grunde liegenden TSH-Rezeptormutationen wird mit Hilfe der Linearen Regressions-Analyse bestimmt. Dies ist ein Verfahren, welches die basale Produktion des second messenger cAMP (Cyclo-Adenosinmonophosphat) misst, unter Berücksichtigung der Expression des TSH-Rezeptors. Die Analyse der Krankheitsverläufe der sporadischen nicht-autoimmunen Hyperthyreose zeigt keinen eindeutigen Bezug zur gemessenen in vitro Aktivität. Es besteht jedoch eine höhere in vitro Aktivität bei Mutationen, die sowohl bei der nicht-autoimmunen sporadischen Hyperthyreose und in autonomen Adenomen zu finden sind, im Vergleich zu ausschließlich familiären Mutationen. Dies entspricht auch dem klinischen Eindruck. Für die wenigen bekannten Fälle der sporadischen nicht-autoimmunen Hyperthyreose wurden dramatische Verläufe mit häufigen Rückfällen unter medikamentöser Therapie und zahlreichen Komplikationen (z.B. mentale Retardierung, Kraniosynostose, zerebrale Ventrikulomegalie, beschleunigte Knochenreifung) beschrieben.

Magister Commercii (Industrial Psychology) - MCom(IPS) / The present study investigated the relationship between the Sense Of Coherence and Satisfaction With Life amongst the unemployed. The study attempted to test the following hypotheses. 1. People with a high Sense Of Coherence tend to be satisfied with their lives in general. 2. Demographic variables such as age, gender, race and level of education have an influence on the subjects' scores on the Sense Of Coherence and Satisfaction With Life scales. 3. Length of unemployment has an impact on the subjects' Sense Of Coherence and Satisfaction With Life. In this study, subjects were drawn from the Department of Manpower in the Western Cape region. The data were obtained from a sample of 100 participants. Of this 100, 52 were males. Subjects were asked to complete the Sense Of Coherence and the Satisfaction With Life scales. Statistical procedures that were used are Multiple Linear Regression analysis, Product Moment Correlational Co-efficients, Analysis of Variance test (ANOVA) and the Cronbach Alphas of the various scales. It was found that Sense Of Coherence correlated significantly with Satisfaction With Life, thus supporting the first hypothesis. This led to the conclusion that a person with a strong Sense Of Coherence tends to be more satisfied with his/her life. However, a person with a weaker Sense Of Coherence finds it difficult to make sense out of his/her life. It was also found that most of the demographic variables did not reach any statistical significance. The general trend in this sample was that younger people had higher education and had been unemployed for fewer years. In comparison, older people were found to have less education and had been unemployed for more years. It was concluded that formal and informal education system will be necessary to develop and equip both young and older people with the experience and skills to use at work. This study was concluded by the discussion of the implications of the findings and suggestions for future research.

Autor práce: Bc. Tomáš Kolomazník Název práce: Bariéry dalšího vzdělávání nezaměstnaných z hlediska věku ohrožených na trhu práce Abstract The thesis "Barriers to continuing education of the unemployed in the age groups endangered in the labor market" examines the barriers to continuing education in unemployed groups of age 15-25 and 50-64 in the Czech Republic, both of which are often referred to as disadvantaged in the labor market. These age groups are characterized by a low rate of participation in continuing education, while having very specific needs and problems. The aim of this work is to identify the most frequent barriers in the education of the above-mentioned groups, to find out the differences between them and to explore their sociodemographic predictors. For the statistical analysis, data from the Kooperace research conducted by the Fund of Further Education was used. The first chapter defines the concepts of adult education, disadvantaged groups in labor market and introduces different concepts of barriers to education. Furthermore, the most important surveys of adult education in the Czech Republic are presented. In the methodological chapter, seven barrier dimensions have been examined, such as lack of self- confidence, insufficient relevance of adult education supply, lack of time, low...

Stigmatization of people with mental illness has negative impact on quality of their life. There are few Czech studies focusing on stigma, but they rather focus only on one element of the problem. Aim of this thesis is to identify level of stigma in the Czech Republic and its socio- demographic predictors. This knowledge will help when choosing target groups for stigma reducing campaign. Thesis focuses on three elements of stigma - problems in knowledge, attitudes and behaviour. Four datasets are used - one from survey conducted within this theses, one from CVVM and two from INRES, which were conducted for NUDZ. Standardised research tools were used to measure knowledge (MAKS scale), attitudes (CAMI scale), behaviour (RIBS scale) and social distance. Predictors were identified using multivariate linear regression analysis. When comparing level of stigma among three elements, behaviour has the highest level and knowledge has the lowest level. Higher level of stigma in knowledge and attitudes is associated with being a male, lower education level and smaller size of residence. Higher level of stigma in behaviour is related to higher age, region and previous contact with person with mental illness. However these relations are rather weak and there are other nonsocio-demographic factors influencing...

Den psykiska ohälsan har ökat bland befolkningen i Sverige vilket förutom ett personligt lidande ger stora samhällsekonomiska konsekvenser. Orsaken till denna ökning har inget definitivt svar men kan potentiellt förklaras av makro- och socioekonomiska faktorer. Denna rapport undersöker därför om det finns ett samband mellan psykisk ohälsa och makro- och socioekonomiska faktorer. Det sker även en analys av hur dessa faktorer kan förklara ökningen av psykiska ohälsa. För att ta reda på om ett samband existerar utförs en multipel linjär regressionsanalys där den beroende variabeln definieras som svåra besvär av oro, ängslan och ångest och de förklarande variablerna utgörs av förgymnasial-, gymnasial- och eftergymnasial utbildning, BNP per capita, hushållens disponibla inkomst och arbetslöshet. Analysen delas upp i grupperna kvinnor, män och totala befolkningen där data från åren 2002-2017 används. Analysen visar på ett visst samband mellan de olika regressionsvariablerna och makro- och socioekonomiska faktorer. Totala befolkningens psykiska ohälsa har framförallt ett samband med förgymnasial utbildning. De signifikanta variablerna för kvinnors psykiska ohälsa är gymnasial utbildning, BNP per capita och disponibel inkomst. För modellen för mäns psykiska ohälsa är arbetslöshet och disponibel inkomst mest signifikanta. Modellerna har approximativt uppfyllda antaganden och multikollinearitet närvarande vilket bidrar till en bristande tillförlitlighet. Vidare forskning krävs för ytterligare validering av sambanden samt för en djupare förståelse av makro- och socioekonomiska faktorers påverkan och möjliga orsakssamband. / The mental health has increased in Sweden, which besides the personal suffering affects both the society and economy. The reason behind the increase does not have any definite explanation but the answer may, at least partly, be found in macroeconomic and socioeconomic factors. This report will therefore investigate if there exists a relationship between mental health problems and macroeconomic and socioeconomic factors. An analysis of how these factors may explain the increase of mental health problems is also performed. To see if a relationship exists, a multivariable regression analysis is performed, where the dependent variable is defined as severe problems with anxiety and worry. The regression variables are education level, GDP per capita, the households disposable income and unemployment. The analysis is performed on the groups; women, men and total population and the data is collected over the years 2002 to 2017. The analysis indicates a certain relationship between the different macro and socioeconomic variables and mental health problems. For the total population, education level is the most significant. For women, education level, GDP per capita and the households disposable income are most important. For men, unemployment and disposable income are the strongest correlated variables. The models approximately fulfills the assumptions for the least square method and have multicollinearity present, which in total makes them less reliable. Further research to validate these relationships and to contribute to explanations of potential causality is needed.

This is a statistical analysis where various factors related to the Sustainable Development Goals (SDGs) have been used to explain life expectancy. The dataset contained information on how countries perform in different aspects over several years. The factors used have been considered to be well-linked to one or more of the SDGs by studying how the United Nations (UN) and Globalis have categorized them under different goals. After the dataset was investigated and measures were implemented, a multiple regression analysis was performed. The analysis showed which factors had statistically significant effects on life expectancy for the observations that were used. From this information, the final linear regression model could be obtained. Then it was discussed whether important information was omitted from the final model and another regression analysis was performed. This time, the dataset was divided into smaller subgroups where one group contained all observations where life expectancy was 75 years or more and the other data set contained all observations where life expectancy was 56 years or less. From these datasets, it was analyzed whether significant factors change depending on the associated life expectancy, which was proved to be the case. The conclusion that was drawn was therefore that the final model is a weighting of observations with different life expectancy, but the differences between observations with different life expectancies are omitted. / Det här är en statistisk analys där olika faktorer med koppling till de Globala Hållbarhetsmålen har används för att förklara den förväntade livslängden. Datasetet som användes innehöll information om hur länder presterar i olika avseenden under flera olika år. De faktorer som används har ansetts ha god koppling till något av de globala hållbarhetsmålen genom att studera hur FN samt Globalis har kategoriserat olika index under de respektive målen. Efter att datasetet undersökts och eventuella åtgärder genomförts så gjordes en multipel linjär regressionsanalys. Analysen visade vilka faktorer som hade signifikant påverkan på förväntad livslängd hos de observationer som använts. Ur denna information kunde den slutgiltiga linjära regressionsmodellen tas fram. Sedan skedde ett resonemang kring validiteten av denna modell och huruvida viktigt information utelämnas i den slutgiltiga modellen. Då genomfördes ytterligare en regressionsanalys, men denna gång hade datasetet delats upp i mindre grupper. En grupp innehöll alla observationer då den förväntade livslängden var 75 år eller mer, och den andra gruppen innehöll alla observationer då förväntad livslängd var 56 år eller mindre. Med hjälp av dessa dataset utreddes huruvida olika faktorer är olika viktiga vid olika förväntade livslängder, vilket var fallet. Slutsatsen som drogs var därför att den slutgiltiga modellen som togs fram var en sammanvägning av alla observationer med olika förväntade livslängder, men där skillnaderna mellan länder utelämnades.

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