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Standing Tall Pays Off: A Meta-Analysis of Height Premium
Juračková, Martina ; Havránková, Zuzana (advisor) ; Polák, Petr (referee)
As has been demonstrated by empirical research, height is an important physical feature impacting various aspects of the life of an individual. This thesis deals with the relationship between height and income, also referred to as height premium. With the help of modern meta-analytic methods, we aim to quantitatively summarize the empirical evidence on the impact of height on income. After introducing the topic of height premium, data collection and methodological framework, we test for publication bias. The analysis is conducted on 1084 height premium estimates collected from 67 studies. The results of publication bias testing indicate that height premium literature contains positive publication bias which persists even after we control for additional variables capturing study characteristics or, in other words, the heterogeneity of collected estimates. Based on Bayesian Model Averaging results, we conclude that geographical factors, the longitudinal nature of the dataset, restriction of the dataset with respect to gender, or adding a gender control variable into the regression are the most important factors explaining the variability of height premium effects.
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Returns to schooling in different industries: The case of the Czech Republic
Havlín, Martin ; Pertold-Gebicka, Barbara (advisor) ; Čechová, Kristýna (referee)
The thesis examines two main issues that were not covered in much detail or at all in studies that used Czech data. Firstly, the thesis analyzes the returns to schooling taking into consideration the industry, where the individual works, and secondly, the thesis measures how returns to schooling differ in certain industry groups. An OLS regression is run based on an adjusted Mincer equation with dummy variables for the highest achieved level of schooling rather than years of schooling. The results of the first analysis show differences among returns to schooling levels and indicate that industry affects the hourly wage of individuals. The results of the second main analysis reveal substantial differences of returns to schooling for different industry groups.
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