National Repository of Grey Literature 3 records found  Search took 0.01 seconds. 
Impact of Population Policies on Economic Development
Kaneko, Shinya ; Cahlík, Tomáš (advisor) ; Hejlová, Hana (referee)
Within the presented thesis, the issue on the impact of population policy types and economic development is investigated using econometric regression analysis on an unbalanced data panel of 188 countries during the period of 2000 to 2014. The key development of the existing econometric model is the adoption of population policy indicator variables according to the type of population policy (pronatal, antinatal, maintain and no intervention). The aim of this thesis is to show the significance and positive or negative correlation of population policy dummy variables with the use of representative datasets, which were selected according to empirical research. Additionally, the same model is also conducted for different groups of countries, (more developed, less developed and least developed) so as to examine the outcome according to the level of development. Consequently, short term negative effect of pronatalistic and maintaining population policy on GDP per capita is demonstrated. On contrary, regressions on different groups of countries validates no significant evidence on policy dummy variables.
Impact of Population Policies on Economic Development
Kaneko, Shinya ; Cahlík, Tomáš (advisor) ; Hejlová, Hana (referee)
Within the presented thesis, the issue on the impact of population policy types and economic development is investigated using econometric regression analysis on an unbalanced data panel of 188 countries during the period of 2000 to 2014. The key development of the existing econometric model is the adoption of population policy indicator variables according to the type of population policy (pronatal, antinatal, maintain and no intervention). The aim of this thesis is to show the significance and positive or negative correlation of population policy dummy variables with the use of representative datasets, which were selected according to empirical research. Additionally, the same model is also conducted for different groups of countries, (more developed, less developed and least developed) so as to examine the outcome according to the level of development. Consequently, short term negative effect of pronatalistic and maintaining population policy on GDP per capita is demonstrated. On contrary, regressions on different groups of countries validates no significant evidence on policy dummy variables.
Who Was Better? Vettel or Schumacher?
Rusnoková, Lenka ; Melzochová, Jitka (advisor) ; Babin, Jan (referee)
Is Michael Schumacher really the best Formula 1 driver? Are not his outstanding succeses only result of qualities of his racing car? Is there anyone better among Formula 1 drivers? During my research, I apply miscellaneous methods of talent evaluation to dataset of the chosen drivers racing between years 1980 and 2013. The method of explicit talent expression by means of the multiple regression model using fixed effects is one of them. The methodology is based on separation of driver's influence and racing car's effect on the total result of a race recorded by statistics. According to my research, Michael Schumacher is statistically the best driver of my selection, however, Fernando Alonso is the most talented one. Thanks to a posibility to express driver's talent, the efficiency at the labour market of racing drivers rises, which is caused by reduction of costs of the best driver selection for the needs of the team.

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