National Repository of Grey Literature 155 records found  1 - 10nextend  jump to record: Search took 0.00 seconds. 
Gender Index in the Czech Public Firms
Velková, Eliška ; Cahlík, Tomáš (advisor) ; Chadimová, Kateřina (referee)
This bachelor thesis examines the extent of gender inequality in the Czech labour market. More specifically, it explores the under-representation of women on board positions using an analysis prepared by Open Society which contains data of more than 500 Czech public firms. The data analysis is made using the method of Kohonen self-organizing maps. SOMs represent a type of artificial neural network which allows to uncover possible patterns in a dataset and also visualize the multi-dimensional input data as a two-dimensional mapping while preserving topological properties of the input. To date, there is no academic paper examining gender inequality on decision-making positions in the Czech labour market using the method of Kohonen maps. The used dataset includes 77 Czech regions and 14 variables. A choice of appropriate factors that may influence the participation of women in the labour market is essential. The results are presented in 5 clusters of regions which differ in level of gender gap. In conclusion, our results prove that self-organizing maps are a useful data mining tool which can simply interpret high-dimensional data sets. 1
Uncertainty in macroeconomics : making RBC path dependent
Rozsypal, Filip ; Sojka, Milan (advisor) ; Cahlík, Tomáš (referee)
Mainstream and alternative notions of uncertainty, time and expectations in economics are discussed. Then the consequences of relaxing some of the assumptions are examined. The relevance of the methodological issues is brought up, when economic theories are employed to deal with real economic problems. It is argued that the assumptions should be realistic. In second part of this text, it is demonstrated how a mainstream neoclassical model can be enriched with more realistic assumptions in line with the previous argumentation. The model is then analyzed using impulse response functions, simulations and long run variance of generated time series. The model manifests interesting behavior, such as path dependency. The higher persistence and lower variance can be interpreted as evidence against a view that technological shocks are main sources of business cycles. Powered by TCPDF (www.tcpdf.org)
The Impact of Structural Funds and Cohesion Fund on Convergence: The Case of Slovak Districts
Kotrč, Michal ; Šťastná, Lenka (advisor) ; Cahlík, Tomáš (referee)
Do Structural Funds and Cohesion Fund contribute to the improvement of economic performance across Slovak districts? In order to answer the question this thesis explores the impact of EU funds invested within specific operational programmes over the programming periods 2007-2013 and 2014-2020 on the decrease in unemployment rate and on the increase in real wage and employment rate. Besides the standard panel data regression technique we also apply a spatial autoregressive model due to the presence of spillover effects between regions. This thesis thus goes beyond the existing literature on the evaluation of the impact of EU funds in Slovakia as it incorporates spatial effects in the analysis. In comparison with the results of the baseline fixed effects model, the estimated impact of EU funds in the spatial autoregressive model is smaller and in certain cases even negative. Hence the results raise doubts about the efficiency of EU funds. Furthermore, after including the spatial effects we find that the existence and significance of the economic convergence across Slovakia depends not only on the chosen economic indicator but also on the specification of regional units.
Transport infrastructure and its impact on the economic growth in the EU
Peterka, Adam ; Pleticha, Petr (advisor) ; Cahlík, Tomáš (referee)
The main objective of this thesis is to determine whether a relationship exists between transport infrastructure and economic growth. This topic has been discussed by many studies, however no relevant study has measured the dif- ference in impact between countries under the historic influence of the Soviet Union. A dataset of 27 EU member states for the period 1995 to 2007 for the length of roads, motorways and railways per capita was analyzed based on their historic membership in the Warsaw pact treaty. A production function approach was applied and the results show positive impact of motorways and railways on the growth of GDP per capita. Keywords transport infrastructure, economic growth, pro- duction function, Warsaw pact, railway, roads, capital Title Transport infrastructure and its impact on the economic growth in the EU
Analysis of clean waer supply in developing countries in the context of SDG framework
Kratochvíla, Patrik ; Cahlík, Tomáš (advisor) ; Palanská, Tereza (referee)
Since 1990, privatization of water and sanitation utilities has been promoted as a viable solution to their insufficient accessibility in developing countries, however its aftermath is disputed to this day. The purpose of this thesis is to examine the consequences and effectiveness of private-sector-supplied water and sanitation services in developing countries in the context of SDG. Using the panel data regression methods of fixed- effects and random-effects, the sample of 78 countries in the span of 29 years from 1990-2018 is analyzed to quantify the effect of private-sector and IMF (non-private) investment on expansion of water and sanitation coverage and the extent to which each of them helps diminish WASP mortality rate among the population. The results show that a) neither source of external financial aid significantly contributes to expansion of water coverage and decrease of mortality rate, and b) the degree of countries' economic development (measured by GDP per capita) is the most significant factor in the pursuit of water-related SDG.
Foreign Direct Investment and Economic Growth
Hayat, Arshad ; Cahlík, Tomáš (advisor) ; Bruno, Randolph Luca (referee) ; Semerák, Vilém (referee) ; Srholec, Martin (referee)
Foreign Direct Investment and Economic Growth Abstract This dissertation consists of three empirical research papers on FDI inflow and economic growth and the role the host country natural resources abundance and institutional quality play in altering the FDI-growth relationship. The first paper (chapter 2) investigates the FDI-growth relationship and the impact of the host country's natural resource abundance on the FDI-growth relationship. The paper uses a dataset of 117 countries over the period 1991-2016 and use system GMM estimation method and found a positive and significant impact of FDI inflows on the economic growth of the host country. However, FDI-induced growth was found to be more pronounced in the low-and middle-income countries compared to high-income countries. Further, FDI-induced economic growth is slowed down by the increase in the size of the natural resource sector both in the low-and middle-income as well as high- income countries. The direct negative impact of natural resources on growth was found to be stronger in the low-and middle-income countries compared to the high-income countries. Building on the results of the first paper (chapter 3), the second paper estimated a fixed effect threshold for the level of natural resources and found that FDI inflow has a stronger positive impact...
Drivers of Success of Insolvency Proceedings in the Czech Republic
Bezuchová, Anna ; Polák, Petr (advisor) ; Cahlík, Tomáš (referee)
This thesis focuses on the insolvency proceedings of natural persons in the Czech Republic with the aim to examine the impact of the debt structure on the probability of being relieved of debts. For this purpose, the linear probability model and the logit model are used. The analyzed dataset consists of 269 insolvency proceedings for which the insolvency petition was filled between 2008 and 2017. We found that the debtor with a higher share of nonbank debt has a higher probability of being relieved of debts than the debtor with a higher share of bank debt. Moreover, the number of kids and the number of creditors negatively affect the probability of being relieved of debts. 1
Criminality Analysis in the Czech Republic using Self-Organizing Maps
Mikulíková, Pavla ; Cahlík, Tomáš (advisor) ; Palanská, Tereza (referee)
Crime represents one of the most persistent social problems all around the world. To understand the motivation for criminal behaviour, a thorough analysis of its plausible determinants is necessary. This bachelor thesis aims at exploring whether the method of self-organizing maps, a data mining tool, can help in the investigation of the Czech criminal phenomena. To date, no academic study has tried to uncover potential pat- terns in the Czech crime data employing this type of artificial neural network. It is a visualisation method which maps observations based on their multi-dimensional features into a two-dimensional grid, and at the same time, the similarity between observations is preserved by locating similar observations close to each other. For the analysis, the dataset consisting of 75 Czech districts and 18 variables was used. However, the optimal choice of parameters of the model can be seen as a possible limitation of this method. The final outcome of the model consists of six clusters of districts with various levels of crime rates and other characteristics. Our results showed that self-organizing maps can provide an interesting insight into the crime problem, and social sciences can benefit from its application in many research areas. 1

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2 Cahlík, T.
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