National Repository of Grey Literature 16 records found  1 - 10next  jump to record: Search took 0.00 seconds. 
Who is most affected by price increases? Differences in inflation for different types of households 2020–2023
Janský, Petr ; Kolář, Daniel ; Šedivý, Marek
Between January 2020 and March 2023, prices in the Czech Republic rose cumulatively by an unprecedented 33%. In this study, we demonstrate the differences in price inflation experienced by different types of households.
Plumbing systems and gas installation in the kindergarten
Kolář, Daniel ; Vrána, Jakub (referee) ; Vaščáková, Alena (advisor)
The bachelor thesis deals with the issue of health technical installations and gas pipeline including water, sewerage and gas pipeline connections in a kindergarten. The theoretical part of the bachelor thesis is elaborated on the topic of sewage and rainwater management.
The Impact of European Funding on Learning Outcomes of Pupils in Slovakia
Sokoláková, Miriama ; Šťastná, Lenka (advisor) ; Kolář, Daniel (referee)
The Impact of European Funding on Learning Outcomes of Pupils in Slovakia Abstract As a member of the European Union, Slovakia has access to various funding programs aimed at improving education and fostering economic development. This thesis examines the effectiveness of these funds in enhancing educational achievement in all relevant Slovakian primary and secondary schools. To assess the impact of European funds, the thesis employs fixed effects, between effects, and a difference-in-difference approach. We combine data collected from the Na- tional Institute of Education and Youth with socio-economic data. The analysis covers the period from 2007 to 2013, encompassing one funding cycle and al- lowing for a comprehensive evaluation of the long-term effects on educational achievement. The results do not reveal a correlation between European funds and the test scores of schools. However, a negative correlation was found be- tween schools located in economically disadvantaged areas and with pupils from socially disadvantaged backgrounds. The study also identifies several challenges and areas for future research for more efficient fund allocation.
(Not) increasing social benefits in 2012–2023: an overview
Janský, Petr ; Kolář, Daniel
In this overview, we map trends in the value of social benefits over the past ten years and compare them to trends in inflation, average salaries and old age pensions. If the real purchase power of benefits is to remain stable, they should be raised at least at the same rate as inflation. If we want social benefits to continue to provide the same level of financial security, keeping pace with economic developments in the long term, then their value should rise at approximately the same rate as the average salary, and spending on benefits\nshould increase at approximately the same rate as GDP.
Decomposition of the gender wage gap before and after COVID-19: did wage determinants across genders change?
Bartóková, Martina ; Pertold-Gebicka, Barbara (advisor) ; Kolář, Daniel (referee)
The topics of inequality, unconditional differences or disproportional rewarding systems are fighting for their place at the top of the interest in public life. In order to fight the inequality present in society, scientists, policymakers, publicly active people and ordinary people are trying to discuss it and find its leading causes. This thesis examines the inequality between men and women in the rewarding system and how the recent pandemic crisis influences it. We analyse the role of many wage gap determinants and try to identify the main ones and how they change with the COVID-19 pandemic. Some of our expectations were confirmed. The pandemic crisis put more burden on women than men. However, the research shows that all the economic sectors suffer from the pandemic; the only difference is by what amount. The results of the decomposition show that change in the determinants of the wage gap is present, but only on the border of the gap. The reason is that even before the pandemic outbreak, the most significant part of the gender wage gap (GWG) was caused by the unexplained gap, i.e., the possible reasons for the GWG are gender discrimination or gender specialisation. After the COVID-19 pandemic began, the unexplained gap strengthened its position. Keywords gender, gender wage gap, COVID-19,...
Drivers of Income Inequality in China
Chen, Xiao ; Kolář, Daniel (advisor) ; Semerák, Vilém (referee)
This thesis uses an empirical approach to examine the drivers of income inequality in China, assuming income inequality to be a linear function of logarithmic per capita income, the educational inequality as well as the percentage of population below secondary, completing secondary, and completing tertiary education. It suggests that growing income inequality is correlated to rising per capita income and educational inequality, utilizing a micro survey data set of 25 provinces from 2010 to 2016 with a one-year gap using the static fixed effects and random effects estimators, as well as a dynamic generalized method of moments estimator. In contrast, the percentage of population completing secondary education has a negative effect. The weighting factors ensure that the data set is representative, and robust and sensitivity tests are applied. The comparison of the EU and China's results shows the features of developed and emerging economies. Keywords Income inequality, Educational inequality, Educational completion, CFPS, Panel data, Weighting factor, Fixed effects, Random effects, GMM-DIFF, GMM-SYS Title Drivers of Income Inequality in China
Wage discrimination of the European players in the NHL
Pavlovský, Jakub ; Červinka, Michal (advisor) ; Kolář, Daniel (referee)
This thesis analyses the wage discrimination against the European players in the National Hockey League (NHL). There were some results in the past litera- ture acknowledging the existence of discrimination in the NHL. The main goal of this thesis is to examine the discrimination in the NHL using new data from season 2020-2021. Another goal is to extend past literature by including the models for goalkeepers because they were omitted in most of the literature, and by using modern advanced statistics to better analyse the players' skills. The method used to analyse the relationship between dependent and independent variables is linear regression. OLS is used to estimate the coefficients of the created models. The estimation of the created models arrives at an unexpected conclusion. There is no discrimination against European or Russian skaters in the NHL. But there is positive discrimination against Russian goalkeepers in the league. JEL Classification C01, C12, C21, C51, J30, Z20 Keywords Country, NHL, OLS, Salary Title Wage discrimination of the European players in the NHL
Enterprise support process
Kolář, Daniel ; Söhnel, Jan (referee) ; Juřica, Pavel (advisor)
The subject of this bachelor thesis is the analysis of the recruitment process with a focus on human resource management in the production company EXCALIBUR AMRY spol. a.s., improving the recruitment process with a new way of working with students and improving the occupancy of unpopular positions in the company. The whole work consists of three main parts, the first part contains the theoretical background needed to write the work, in the second part we can meet the analysis of the environment and specific problems and in the third phase we can find a proposal to improve the bottleneck to streamline society.
Repealing NAFTA: The impact on international trade with focus on Mexico
Kolář, Daniel ; Semerák, Vilém (advisor) ; Cazachevici, Alina (referee)
The North American Free Trade Agreement came into force in 1994 after long and emotive discussions. When Donald Trump became the US president in 2016, its future became uncertain, which motivates this paper to attempt to quantify the impact of its repeal. To do that, it uses a standard GTAP general equilibrium model and models an increase of intra-NAFTA tariffs to the derived MFN rates. It finds that NAFTA repeal would notably reduce intra-NAFTA trade and have a modest but negative impact on countries' welfare. NAFTA repeal is estimated to decrease Canadian GDP by 0.48%, US GDP by 0.39% and Mexican GDP by 0.06%. It would severely damage US-Mexico value chains and increase income inequality in Mexico by hurting unskilled workers more. Additional simulations are performed to control for variation in sectoral MFN rates and to observe the sensitivity of results to the choice of closure. The only positive of NAFTA repeal is that it might mitigate regional economic disparities in Mexico by damaging sectors concentrating their production near the US-Mexico border. 1

National Repository of Grey Literature : 16 records found   1 - 10next  jump to record:
See also: similar author names
19 KOLÁŘ, David
1 Kolář, D.
1 Kolář, Dan
19 Kolář, David
5 Kolář, Dominik
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