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The Founders of Post-Keynesianism and the Concept of Reswitching
Kraffer, Robin ; Potužák, Pavel (advisor) ; Chytilová, Helena (referee)
The thesis deals with the evolution of thoughts of Joan Robinson's, Nicholas Kaldor's, Piero Sraffa's and Luigi Pasinetti's with regards to the issue of reswitching. Discussing Robinson, Kaldor, and Sraffa, it addresses the importance of the discussion on imperfect competition and Keynes's theory for developing their opinions within the capital theory. This issue was challenged in the 50s by Robinson who asked how capital can be measured. She discovered an option of reswitching to a more capital-using technique during a wage increase, but she did not focus on it very much. The thesis also seeks the importance of Sraffa's solution to the invariant standard of value for developing the debate on reswitching the technologies in the 60s, which was joined by both Pasinetti and Robinson. However, Robinson refused again in the 70s to deem the reswitching important within the critique of the neoclassical theory, and thus joined Kaldor who had voiced similar thoughts. At the end of the thesis, the question of Robinson underestimating the importance of reswitching, as pronounced by Pasinetti, is answered - she underestimated it in the 50s, whereas it is impossible to give a clear answer when it comes to the 70s, despite the differences found among Post-Keynesians and Neo-Ricardians.
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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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Fiscal rules in selected EU countries between 2004-2015: sensible method for consolidation of public finances or fad of politicians?
Veselý, Lukáš ; Strejček, Ivo (advisor) ; Chmelová, Pavla (referee)
The subject of fiscal rules is very topical issue. The rise of public debt in certain developed countries resulted in what is sometimes called "debt crisis". Debt of those countries which is higher than their annual gross domestic product is viewed as unpayable by some economists. The main objective of this thesis has been to prove or disprove hypothesis that the fiscal rules studied in this paper are an effective solution for public finance consolidation. This verification was based on the analysis of fiscal rules functioning in selected countries between 2004 and 2015. As per results of analysis the paper aims to give recommendations for the Czech financial constitution proposal. The actual results of inquiry proved the hypothesis. Well-chosen fiscal rules are the right way towards fiscal consolidation, provided they are observed. Fiscal rules making thus requires an emphasis to be placed on the well-formulated exit clauses altogether with prospective sanctions. The current Czech financial constitution proposal is built on the correctly picked fiscal rule type, although the reference value lacks economic sense and it would not lead, with a high degree of probability, towards fiscal consolidation.
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Who is buying luxury Czech fashion?
Hříchová, Monika ; Špecián, Petr (advisor) ; Máslo, Lukáš (referee)
This bachelor thesis is looking for the determinants of buying luxury fashion by Czech designers. The main conclusions of worldwide studies are examined based on data provided by the designers. Customer information were provided by companies Veršatyl and One Life. Qualitative data from the Veršatyl brand are examined using descriptive statistics. Data resulting from the purchase statistics from the One Life brand are converted into numerical values and investigated using regression analysis. The most important determinants when buying luxury Czech fashion include the quality of the product and its manufacturing.
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Analysis of the bitter spirits category and the perception of the brand Becherovka Original in the czech market
Michelík, Martin ; Machek, Martin (advisor) ; Kolouchová, Daniela (referee)
The aim of the thesis is to analyse the bitter alcohol drinks market and to evaluate the brand image of the Becherovka Original on the Czech market and to suggest appropriate recommendations for improvements in perception of the brand amongst the younger generation of customers. The theoretical basis is defined to understand the terms as customer behavior, consumers buying process, brand elements, brand equity, brand value and brand image. In order to achieve the main objective the primary research was carried out. The research was provided by online customer survey. Based on the collected data the whole Czech alcohol market was analysed, with emphasis on the spirits market, especially on the bitter spirits category. Also, the brands marketing strategy was analysed. At last, the perception of the brand Becherovka Original on the Czech market was analysed. The data for the analysis were obtained by the theoretical basis and by the research. The conclusion contains suggested recommendations for the future prosperity of the brand.
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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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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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Plan for improvement of internet marketing of chosen engineering company
Pokorný, Zdeněk ; Hinčica, Vít (advisor) ; Olšanová, Květa (referee)
The objective of this bachelor thesis is to evaluate the contemporary usage of internet marketing by company POKORNY, spol. s r. o. and at the same time to suggest its possible further development. Within contemporary usage of internet marketing is analysed company's website on the basis of its overall quality, content and its statistical values. In connection to company's website is subsequently analysed its optimization for search engines as well. Furthermore the thesis analyse usage of 2 social networks, which are Facebook and LinkedIn. Afterwards the thesis suggest possible further development of company's internet marketing which includes recommendation to eliminate discovered current deficiencies and suggestions to start using new available tools. The result of these recommendations should be better competitiveness of the company.
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Data Mining for Effective Customer Communication
Madhi, Simona ; Šperková, Lucie (advisor) ; Novotný, Ota (referee)
The aim of this paper is to describe and illustrate benefits of using Data Mining for effective customer communication. The objective is to perform a Data Mining analysis in order to achieve results with potentially beneficial influence on the company s relationship with its customers, while using the KNIME Analytics Platform tool. The paper introduces the theoretical aspect of Customer Relationship Management, Data Mining and the opportunities of using Data Mining to improve CRM; followed by a market analysis of available Data Mining tools and the introduction of the KNIME Analysis Platform. Furthermore, the knowledge thus reached is used for the performance of real data analysis with the aim of reaching customer knowledge that would be appropriate to use within CRM strategy and finally to positively influence the value of customer relationships.
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