THE SOCIODEMOGRAPHIC DETERMINANTS OF ACADEMIC PERFORMANCE AND EARLY CAREER IN THE CZECH REPUBLIC

` 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.