National Repository of Grey Literature 16 records found  1 - 10next  jump to record: Search took 0.00 seconds. 
How team strategy in football influence players' market value
Knapp, Milan ; Pleticha, Petr (advisor) ; Šťastná, Lenka (referee)
This work investigates the effect of team strategy in professional football on the value of players on the transfer market. The research is conducted on player- level data from the English Premier League, German Bundesliga, Spanish La Liga, Italian Serie A and French Ligue 1 in season 2018/2019. Price is explained by player-related attributes like age and height, performance data and by team- related statistics. We are specifically interested in the significance of team data and their relationship with playing strategy. Results of the work show strong evidence that different playing strategies influence players' value which makes optimization for maximal value of the team squad possible. JEL Classification C12, C01, Z20, C51 Keywords Football, Players' Value, Team Strategy, Foot- ball Transfer Market Title How team strategy in football influences players' market value Author's e-mail Supervisor's e-mail
The Stagnation of Productivity in the Czech Republic: Does the Country Suffer from Baumol's Cost Disease?
Blaha, Jakub ; Pleticha, Petr (advisor) ; Schwarz, Jiří (referee)
This thesis examines the impact of diverging productivity gains across indus- tries in the Czech Republic and identifies their effect on other economic indi- cators. Using methods standard in the literature about Baumol's model, we analyze yearly sectoral data in the Czech Republic for the period 1995-2015 and examine the presence of Baumol's diseases. Using the econometric concept of fixed effects model, our findings are in line with the predictions of Baumol (1967) as relative prices decline in progressive sectors; and sectoral growth of wages is rather independent of the productivity growth. Additionally, sectoral growth of labour productivity is accompanied by a diminishing share of working hours. Opposite to what Baumol's model suggests, we rejected the hypothesis of the 'constant real share' as productivity growth tend to raise real output. And because the volume of this effect is relatively stronger than the decline in the prices, technological advancement has resulted in nominal output growth. Finally, we have demonstrated that sectoral shifts towards stagnating indus- tries have tended to lower aggregate labour productivity growth. Although the results of our study show the presence of Baumol's cost and growth diseases in the Czech Republic, their magnitude differs considerably from the current...
Private and public returns to business R&D spending in Czechia
Pleticha, Petr
This study presents the first estimates of the relationship between business R&D capital and value added by sector in Czechia. The goal is to assess both direct effects of R&D spending in respective industries, and indirect, spillover effects on the rest of economy. We apply well-established regression approaches, using sectoral data from manufacturing and selected service sectors from 1996 to 2015. Because R&D spending and public R&D subsidies have soared in recent years, such an analysis has been long overdue.
Best predictors of apartment prices: Empirical Evidence from Czechia
Šváb, Ondřej ; Pleticha, Petr (advisor) ; Vozková, Karolína (referee)
It is essential to control for property price determinants since there could be created the price bubble, and its burst would have harmful effects on the economy. Thus, this bachelor thesis aims to show the best determinants and models for forecasting the apartment prices in Czechia and its regions with the use of panel data and time series from the Czech Statistical Office. After stating hypotheses of variable's expected impacts on apartment prices, the most important determinants appeared to be the average wage, unemployment rate, natural population growth, and the building plot price. The best results are found by using econometric regressions as the fixed effects, the first differences or the classical ordinary least squares method. I also use the heteroskedasticity and autocorrelation consistent standard errors for better robustness of coefficients. Moreover, the lasso method is applied for dealing with multicollinearity and over-fitting, which are fixed by the variable selection. In most cases, the lasso improved prediction accuracy. However, the first difference regressions worsen the forecasts after the lasso penalisation. 1
Impact of zombie firms on the weak post-crisis growth of the Slovak Republic
Bosák, Martin ; Pleticha, Petr (advisor) ; Kočenda, Evžen (referee)
According to the Convergence Analysis of Slovakia from 2017, the current subject of Slovak economic growth and convergence is the slow growth in productivity as relative productivity of Slovakia to the EU average was decreasing in the period from 2014 to 2017. Moreover, it shows that Slovakia is one of the countries with low efficiency of using labour and capital, which means that there is an occurrence of misallocation of resources. A significant role in this downturn according to recent literature might be the occurrence of zombie firms, which are old companies that do not have sufficient profitability to cover their interest expenses for a longer period. This thesis examines zombie firms and their significance in stifling productivity performance. Using a rich firm-level dataset for Slovakia, we research the determinants of zombie companies in Slovakia. Controlling for cyclical effects, this thesis reveals that zombie enterprises over the period from 2003 to 2013 were significantly less productive compared to their healthy competitors. In addition, we find out that occurrence of zombie companies curbs the growth of healthy companies and has a negative impact on the economic output overall. These results are raising several issues for public policy as it needs to mitigate this cause of...
Occupancy Rate in Paid Parking Zones in Prague
Kašparová, Amálie ; Pleticha, Petr (advisor) ; Kukačka, Jiří (referee)
The bachelor thesis deals with occupancy measurement in Paid Parking Zones (PPZ) in Prague with system of random monitoring by special vehicles equipped with cameras. It introduces distinction between immediate occupancy, i.e. the percentage use of parking spaces in a given area in a given time and effective occupancy, i.e. the percentage use of time parking capacity in a given time interval. Since the effective occupancy cannot be determined in real conditions of PPZ by random monitoring, the method of simulation of parking in the model area was chosen. The model was created based on parameters expected parking time of visitors and residents and parking interest. The model simulates the use of parking capacity and its output are simulated effective and immediate occupancy. The basic parameter values were obtained by analysing the real data for 2018 from PPZ. The goal of the thesis was to analyse under which conditions and number of measurements, the immediate occupancy is a good estimate of effective occupancy. In total, 10500 simulations were performed for 21 different parameter combinations resulting in an effective occupancy of about 45%-95%. The results of the simulation show, that five measurements in one working week are sufficient to estimate effective occupancy in the same time interval....
Collaborative purchasing in public procurement: A comparative study
Křivohlavý, Tomáš ; Palanský, Miroslav (advisor) ; Pleticha, Petr (referee)
This bachelor thesis deals with the issue of collaborative purchasing in public procurement. We describe possible effects of centralized purchasing and define the objectives and strategies of the European Union regarding procurement centralization. Then, we examine the effects of centralized procurement based on a unique dataset of tenders from the whole European Union using Quasi-Maximum likelihood estimation. We find a positive effect of central procurement on competition in three procurement sectors. We also find that the effect is higher in countries with a higher degree of corruption. Centralized purchasing is criticized because of possible disadvantaging of small enterprises. We show that this strategy has a negative effect on the probability of awarding contracts to small or medium companies in two procurement sectors. One of the recommendations of the European Union to solve this problem is the usage of tenders with multiple selection criteria. However, our results do not confirm the validity of this recommendation.
Impact of zombie firms on the weak post-crisis growth of the Slovak Republic
Bosák, Martin ; Pleticha, Petr (advisor) ; Teplý, Petr (referee)
Productivity growth is diminishing among OECD countries, coupled with increased differences in productivity development among enterprises and misallocation of resources. A recent literature focuses on the role of zombie firms, defined as old firms that have persistent problems meeting their interest payments, to explain these developments. This thesis examines the extent to which zombie firms are stifling labour productivity performance. Using a rich firm-level dataset for Slovakia, we assess the role of zombies on firm dynamics. We confirm the results that prevalence of zombie firms curbs the growth of healthy firms and thus dragging aggregate productivity down. Controlling for cyclical effects, our analysis shows that zombie firms over the period 2003-2013 are significantly less productive within industries than their healthy counterparts. Furthermore, a higher share of industry capital or employment sunk in zombie firms is associated with lower labour productivity, investment and employment growth of the typical non-zombie firm, which results in less productivity-enhancing capital reallocation. These results highlight the role of public policy in addressing prevalence of zombie firms, fostering a more efficient resource allocation and enabling productivity growth.
Innovation Indicator Analysis in the European Union: A Machine Learning Approach
Malecha, Jan ; Pleticha, Petr (advisor) ; Semerák, Vilém (referee)
The European Commission annually publishes a European Innovation Scoreboard (EIS) as a tool to measure the innovation performance of the EU Member States. This thesis extends the analysis published in the EIS 2018 in two different manners. The first part, a clustering analysis, examines the partition of the EU Member States to innovation performance groups. The thesis comes with a unique scheme of partition created by using hierarchical clustering. A comparison with the existing scheme shows that the general trends are similar in both schemes. The only main exception is the differentiation of the British Isles and Luxembourg apart from the other high performing countries. The proposed scheme provides insight about the within-cluster similarities, such as the similarity of Finland, Sweden and Denmark and their relative distinction from France, although they belong to one cluster. The second part, a regression analysis, attempts to examine the impact of innovations on real labour productivity. Contrary to existing literature, we do not find a statistically significant relationship between productivity and the components of the EIS. Additionally, the analysis is extended by the lasso estimation that provides a variable selection. The latter approach improves our findings and identifies four EIS...

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