National Repository of Grey Literature 2 records found  Search took 0.00 seconds. 
The Causal Effect of Parents' Schooling on Children's Schooling: A Meta-Analysis
Pokorná, Anastasia ; Havránková, Zuzana (advisor) ; Kukačka, Jiří (referee)
One of the topics concerning education's improvement is the intergenerational transmission of education. The main goal of our study is to analyse the causal efect of parents' education on children's education. We collect 387 estimates of the causal efects from 23 studies. Using our dataset and meta-analytic methods, we test for the presence of publication bias in the literature and try to explain the heterogeneity in the results of the primary studies. After correction for publication bias, the mean becomes smaller than the mean reported in the literature and varies from 0.044 to 0.185. For exploring the heterogeneity of the estimates we use Bayesian Model Averaging and Frequentist Model Averaging. Our results suggest that there is a country heterogeneity in the estimates of the causal efect. Moreover, controlling for the size of a household in the original regression is important for the explanation of the diferences in the results of the primary studies. In addition to it, we collect 605 estimates of the non- causal associations from 39 studies and analyse the publication bias and the heterogeneity of results also using this sample. 1
The impact of education on unemployment in the Czech Republic
Kufnerová, Eva ; Stroukal, Dominik (advisor) ; Brožová, Dagmar (referee)
This diploma thesis analyzes the impact of education on unemployment of citizens of the Czech Republic. It utilizes data from the ISSP international survey between years 1994-2012. The main assumption of this work is that education reduces the likelihood of individual's unemployment. This hypothesis is confirmed by using the Probit method, in several models accompanied also by the instrumental variable approach. The instrumental variable method helps to identify the causal effect of education on unemployment. Results show that education has greater impact on women. Each additional year of schooling reduces the likelihood of a woman's unemployment by 1 percentage point and likelihood of a man's unemployment by 0.75 percentage points. In additional models, education is measured by highest reached level rather than years of schooling. Results confirm that the probability of unemployment is lower for people with higher level of education than for others.

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