Resultados no mercado de trabalho dos Diplomados do Ensino Superior Português

The study is organized in 5 objectives. The first objective is to identify and characterize unemployed higher education graduates. As specific objectives, the team will seek: 1) through descriptive statistics to provide an estimate of the unemployment rate, broken down by area of education and training, level of education, subsystems, gender, and age; 2) through linear regression methods, to ascertain the determinants of the unemployment situation based on the information provided by the respondents. This process will make it possible to identify which graduates are most at risk of falling into unemployment and could provide important policy implications. The team will also endeavor to contrast the information in the study's three databases with the IEFP's employability data, which is used as an anchor for defining vacancies in higher education courses. The second objective is to analyze the professional integration of graduates. This is done by analyzing the career path of graduates during their first years in the labor market. This objective is therefore subdivided into two: 1) an analysis of descriptive statistics to characterize the graduates using indicators such as the number of jobs, salary evolution, stability of the employment relationship, and the adjustment of the skills profile to the job; 2) a linear regression analysis to determine the determinants of each of these indicators. Special attention will also be paid to the graduate's first job. In addition to a brief characterization of the typical graduate's first job in the system, the importance of this first job in explaining the aforementioned indicators will also be assessed using linear regression methods to understand the role of the first job in the graduate's career. The third objective will be to assess the influence of additional qualifications on graduates' career paths in the labor market. Specifically, the aim is to estimate, employing linear regression analyses, the benefit of obtaining an additional degree by the graduate on these results in the labor market. In this context, when statistical significance allows, the analysis will be separated between the different additional qualifications that can be obtained (differences between ISCED 5 and 6, 6 and 7, or 7 and 8) with special attention to an analysis by CNAEF area, since, in several cases, formal qualifications serve as a means of access to certain professions. The fourth objective is related to graduate mobility - namely, international mobility. The information the team has access to in the databases is very limited in gauging this reality since the databases collect information from Portuguese territory. However, the Eurograduate database could be a good starting point for analyzing the issue, particularly concerning which individual characteristics of the graduate lead to migration, including the breakdown by CNAEF areas. Finally, the project will result in conclusions and public policy recommendations, depending on the results. The project's ambition is to produce recommendations that will make the Portuguese higher education network more efficient, identifying the areas of education and training and the regions where there is the highest unemployment and the worst results for graduates on the labor market and, on the other hand, identifying areas with better indicators where more places or courses could be opened. These results will also be emphasized regionally since explaining labor market processes can have an important regional component. The project also aims to share the team's experience in collecting data on employability, designing better mechanisms for tutelage to understand graduates' results in the labor market, and responding to the Court of Auditors' concerns.