| Abstract [eng] |
70 pages, 5 charts, 34 pictures, 41 references. The main goal of this work is to analyze the concepts of the welfare state and education, to evaluate the role of education in the context of the welfare state, based on one of the main indicators. This work consists of three main parts: literature analysis, research methodology and results, conclusions and recommendations. The literature analysis presents the concept of education, theoretical aspects, failures and problems of the education market. It also discusses the benefits of education for both the state and the population in terms of career and income, health and the impact on social and economic development. Next, the research methodology is described, the purpose, tasks and methods of the research are presented. The purpose of the research is to determine the relationship between one of the main indicators of education and indicators of the welfare state. Correlational and regression analyzes are performed in the study. Summarizing the three conducted studies, the indicators of education: the level of higher education and the expenditure on education have a mutual relationship with the indicators of the welfare state: the quality of life of individuals, wages and employment. The largest established relationship is noticeable between public spending on education and employment in the countries of the European Union and corresponds to an average correlation value. The lowest correlation is found between public spending on education and personal income. After performing the regression analysis tests, the constructed models are reliable and correct based on the Ramsey RESET test; there is no autocorrelation in the models after performing the Breusch-Godfrey LM autocorrelation test and based on the Durbin-Watson method; also, all three models meet the condition of normality after performing the Normality test; and variables are statistically significant and reliable. In conclusion, although considering the literature analysis, it can be assumed that the correlation values should be higher, nevertheless, these results can be believed, since the selected variables are not directly related when calculating the correlation, and the study was carried out to determine whether there is a relationship between the variables. |
