Ondřej Nývlt
Socio-demografické determinanty studijních výsledků a začátku pracovní kariéry v České republice
Číslo: 2/2018
Periodikum: Demografie
Klíčová slova: logistic regression, school results, unemployment, human capital
Pro získání musíte mít účet v Citace PRO.
Anotace:
The analysis focuses on finding relevant predictors that influence school results of children in school, and their
chances of studying at the secondary school and university of their choice. It also focuses on unemployment
after graduation. The article is based on CHPS data and a special ad hoc module within the MML-TGI, in which
respondents are asked retrospectively about the time in life when they were a student and about the first years
after their graduation. Logistic regression analysis using the forward step-wise method was used. The method
sequentially includes predictors according to whether or not they increase the explanatory power of the model.
As a result, it shows which characteristics increase the chances of success or, on the other hand, failure to study
and start working life. These characteristics take into account the demographic (age, gender, household type,
household size) geographical (size category of residence, NUTS2 residence), or social (the level of highest
education and unemployment of parents) aspects of individuals and households.
Zobrazit více »
chances of studying at the secondary school and university of their choice. It also focuses on unemployment
after graduation. The article is based on CHPS data and a special ad hoc module within the MML-TGI, in which
respondents are asked retrospectively about the time in life when they were a student and about the first years
after their graduation. Logistic regression analysis using the forward step-wise method was used. The method
sequentially includes predictors according to whether or not they increase the explanatory power of the model.
As a result, it shows which characteristics increase the chances of success or, on the other hand, failure to study
and start working life. These characteristics take into account the demographic (age, gender, household type,
household size) geographical (size category of residence, NUTS2 residence), or social (the level of highest
education and unemployment of parents) aspects of individuals and households.