Nicola Tedesco

Using Discrete-Time Multistate Models to Analyze Students’ University Pathways

The methodologies adopted in the last decades to analyze students’ university careers using cohort studies focus mainly on the risk to observe one of the possible competing states, specifically dropout or graduation, after several years of follow-up. In this perspective all the other event types that may prevent the occurrence of the target event are treated as censored observations. A broader analysis of students’ university careers from undergraduate to postgraduate status reveals that several competing and noncompeting events may occur, some of which have been denoted as absorbing while others as intermediate. In this study we propose to use multistate models to analyze the complexity of students’ careers and to assess how the risk to experience different states varies along the time for students’ with different profiles. An application is provided to show the usefulness of this approach.

Transition from University to the Job Market. A Time Analysis of the University of Cagliari Graduates

To investigate the transition from University to work, and indirectly assess the effectiveness of university education, time analysis can play a key role. The period that elapses between graduation and finding work is usually influenced by various factors. In this work, an analysis of such determinants is performed by means of non-parametric and parametric survival models.

The Transition from University to the Job Market. An Emigration Analysis of the University of Cagliari Graduates

In this work, we analyze data provided by official records on graduates of Sardinian universities in the period 1991–2001 with the aim of obtaining contextually relevant information for the realisation of a survey on the transition from university to the job market. Examining data from the survey, we looked in particular at certain aspects of the conditions of graduates in search of employment, their postgraduate education and the opportunities for entering the labour market. We also present some initial results regarding the emigration of graduates and the evaluation of human capital.

The Determinants of Graduates' Placement. Analysis of Interactions Using Boolean Logit Models

In this analysis of the occupational placement of graduates, we define the role played by some covariates assembled to predict the dichotomous event occupied/unoccupied. These covariates influence the response variable singularly and jointly. This work aims to evaluate this joint effect by means of a recently developed technique known as Boolean logit. We applied an exploratory binary segmentation analysis to support the analysis.