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The value of life from macroenomic point of view in United States of America, Czech republic and Russia between years 2007-2014
Antoš, Michal ; Zeman, Martin (advisor) ; Brabec, Petr (referee)
The subject of this bachelor thesis is the research of the value of life calculation in the Czech republic, United states of America and Russia in 2007-2014.The main purpose is to analyze and compare values of life and major factors influencing them. The hypothesis is that value of life differs in selected countries due to distinctions of sections influencing them. The theoretical part is devoted to sections directly or indirectly influencing values of life, and then analyzing and comparing them together within the selected countries. The selected sections are education, health care, labor market, inequality and living standards. The practical thesis approach is to calculate the values of life for the individual states. The values of life are calculated for so called, representative individual, who is 40-years old citizen of selected country. In the period, in which is the value of life calculated, the retirement age and life expectancy are also considered in formula. Calculated values are examined and the economic and political measures are offered to the states, which can turn into significant increases in the value of life in future.
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Proměnlivost multiplikátorů vládních výdajů v čase: Evidence z dat z USA
Focht, Daniel ; Maršál, Aleš (advisor) ; Chytilová, Helena (referee)
This paper estimates the size of the government spending multiplier over different states of the economy. Previous research came with two contradictory conclusions. Part of the literature argues that the spending multiplier is larger during recession and zero-lower bound periods, while the second one concludes that it remains constant. First, a summary of the relevant literature is presented, outlining different types of used methodological approaches and estimated size of the multiplier. We build a model estimated using local projections by Jorda for the period 1889 to 2016 to estimate government spending multipliers over different states of the economy. Our results show that the spending multiplier remains constant over different states of the economy.
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Empirical analysis of Okun’s law in Iceland
Zajíček, Zdeněk ; Slaný, Martin (advisor) ; Chytilová, Helena (referee)
This thesis deals with empirical analysis of Okuns law in Iceland. Okuns hypothesis of negative relationship between real GDP and the rate of unemployment is being tested on two models, difference and gap, using OLS estimation. Also there are two filtration methods used (Hodrick-Prescott and Baxter-King) for gap model estimation. The results of all models showed weak relationship of variables, but proved the hypothesis. In the following part, the same procedure is being used on Finlands data, to get comparison of coefficients. Results for Finland showed weaker bond of variables than in Iceland, but the Okuns hypothesis still holds. Last part is focused on finding the sensitivity of rate of unemployment to changes in added value of each economical sector in Iceland using the production approach model. This model gave inconclusive results due to insufficient data available.
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The Value of CSR for Czech Consumers
Faradji, Elise ; Štěrbová, Ludmila (advisor) ; Seror, Patricia (referee)
Nowadays consumers purchasing behavior is influenced by new factors such as the social and environmental implication of companies. This is why Corporate Social Responsibility (CSR) is a growing trend which companies need to look after carefully. However implementing an efficient CSR strategy is a complex process for corporations; especially since the core concept of CSR remain quite blurry. The goal of this study is to analyze the perception of consumers towards CSR to find out about the value creation that CSR produce for consumers and its impact on their purchasing behavior. This paper will ultimately help companies to implement their CSR strategy more efficiently. This study aims to contribute by conducting an in-depth analysis of consumers attitudes and behavior towards CSR. If most of researchers are using a quantitative approach this study means to deal with the issue with a qualitative perspective. Indeed twelve semi-structured interviews will support the findings. On top of those practical and physical interviews some theoretical knowledge will be added to the construction of the argument especially to bring a framework that shows the importance of all types of value creation (functional emotional and social). The findings of the thesis emphasize the facts already proven by other researchers; value creation is fundamental to make consumers care about CSR. However the study will show how much skepticism towards CSR can impact negatively consumers purchasing behavior. The research will help companies implementing more successful CSR strategy and develop new solutions to reach customers and influence their purchasing behavior through the creation of value for them.
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Segmentation of the detergent market
Bulantová, Barbora ; Koudelka, Jan (advisor)
This Masters Thesis is focused on detergent market in the Czech Republic and its market segmentation. The goal of this thesis is to find differences and similarities between consumers and to uncover the segments which are internally homogeneous and externally heterogeneous, and to suggest a marketing approach for each segment. Theoretical part of this thesis is about theoretical explanation of the market segmentation process, different approaches to segmentation and methods of segmentation. There is also a description of the detergent market in the Czech Republic. The analytical part is focused on segmentation process itself. The segmentation is based on both primary and secondary data. The revealed segments are then described in detail. There is a suggested marketing approach how to effectively address each segment.
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Private equity fund greenhouse business plan focusing on the financials
Bartoš, Jan ; Krause, Josef (advisor) ; Machek, Ondřej (referee)
The thesis analyses and discusses the creation of a business plan inside a private equity fund. The business plan deals with the development and management of a fully illuminated and heated greenhouse and focuses mostly on the financial part, due to reasons explained in the thesis. In the theoretical section, the author discusses the developments in the entrepreneurship and private equity field and follows by describing the important terms concerning a business plan, its structure and the approach to its creation. The practical section deals with the circumstances in which this business opportunity is considered and covers the business plan itself, specifically the market analysis, marketing approach, operational side and financials in detail. The aim of this exercise is to validate the market expectations and economic rentability of the whole project. To this end the author utilizes several standardized criterions for investment assessment.
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Content Marketing for Lead Generation in B2B Educational and Consulting Services
Nykodýmová, Barbora ; Zamazalová, Marcela (advisor) ; Pospíchal, Tomáš (referee)
The aim of this thesis is to acquaint the reader with the issue of content marketing for generating leads and information about potential customers, then to analyze and offer some recommendations for its further use among B2B suppliers of educational and consulting services. The theoretical part discusses three key topics: the specifics of the services and B2B sector; content marketing and the reasons for its inclusion in marketing strategy; and the issue of lead generation as a possible metric of content marketing and sales tool. The practical part of the thesis approaches this topic from the perspective of four representatives of service suppliers, complemented by a point of view of the mediate company IVITERA. This company brings together one of the largest B2B communities in the services sector on the Czech market within its (especially online) media projects. Research was conducted through individual interviews with representatives of all five companies and by an analysis of secondary data, leads and keywords provided by the mediate company.
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Analysis and design of intranet structure
Novák, Miroslav ; Pour, Jan (advisor) ; Šedivá, Zuzana (referee)
Nowadays, Intranet is an inseparable part of every company, notwithstanding of their size or field of activity. Both, in my work and personal life, I often come across different intranets that usually do not get a positive response. But they usually have the same source of the problem, which is based on their wrong structure. This is why is chose this topic for my thesis. The goal of my thesis is to perform an analysis of an existing intranet of a particular company and subsequently create a design of the intranet new structure using the card-sorting method. This thesis primarily represents a generalized method of how to proceed during such realization and which areas to look into. Theoretical part of this thesis covers the topics of information architecture and also the term intranet itself, where the most frequent issues I came across in the intranets are pointed out. Practical part covers the analysis itself, where I focus on the structure of the existing intranet, categorization of its content, connections with other systems, customization, permission management, surveys of contentment, and intranet usage. The analysis is performed manually by scanning through the existing intranet of the company, since other methods or approaches could not be applied due to technical limitations or insufficient permis-sions. Based on the outputs of the analysis, web categorizations and the card-sorting method, a design of a structure of the new intranet has been proposed. The design itself is a demonstration of the method how to approach the new intranet design.
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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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