|
|
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
|
|
|
How much do we pay for a real estate ownership? A simulation approach
Gallová, Ivana ; Pleticha, Petr (advisor) ; Kukačka, Jiří (referee)
This thesis compares rent vs home ownership based on the net present value, within the periods of the Great Recession and current year. The analysis is focused on the Czech Republic real estate market as a whole. Rent and real estate price are forecasted, and factors determining the price of rent and real estate are identified. The ARIMA model used for forecasting performs accurate short-term predictions. The results expect 3,2 percent annual growth of rent in the following year and 7,2 percent increase for the real estate prices. The results of net present value analysis indicate, that for years 2008 and 2009 renting was superior choice, while for years 2011, 2013 and 2019 home ownership was to be preferred from financial aspect.
|
|
|
Identifying driving factors of coffee prices
Gajdušková, Karolína ; Pleticha, Petr (advisor) ; Šťastná, Lenka (referee)
This bachelor thesis focuses on the price of coffee and the factors affecting it. The study aims to identify these factors to predict price movement. This thesis also answers the question whether the factors observed have the same impact on two coffee varieties: arabica and robusta. There were defined five groups of the factors: supply, demand, climate, commodity market and financial. The effect is observed for annual coffee price data that were obtained from the International Coffee Organization (ICO). The observed period is between 1965 and 2018. The impact of the factors was detected by the ARDL regression, both in the short run and the long run. Based on the results, the price is affected mostly by supply, demand, and financial factors. Moreover, robusta's price specifically is driven mainly by the factors explaining the power of the US dollar. Arabica's price, on the other hand, is affected by the supply and demand factors: exports, and the growth of GDP. This finding supports the claim that these two coffee varieties should be considered as two different commodities. The results suggest that the establishment of an association of the biggest coffee producers regulating coffee exports would help in control of coffee prices.
|
|
|
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 milan.knapp10@gmail.com Supervisor's e-mail petr.pleticha@cerge-ei.cz
|
|
|
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....
|
guest ::
