Catálogo de publicaciones - libros

In this paper, we discuss aspects of a behavioural model of new graduates on the labour market. The model regards the search for, possible refusal, and acceptance of a job by graduates of the University of Padua. Some jobs are considered a makeshift with respect to expectations the graduates matured along with degree achievement. We will analyse data collected by the University of Padua through a long-lasting perspective survey on its own graduates. We compare, in particular, the behaviour of graduates who worked before graduation with that of graduates who did not.

The main goal of the present paper is the analysis of the working position of graduates using multilevel and chain graph models, extended to the case of correlated data. After a brief introduction to multilevel modelling and a description of the conditional independence implied by the model, we describe chain graphs for multilevel models. The model put forward can analyse the factors influencing the graduates’ job position, using the data collected on students of the University of Florence who graduated in the year 2000.

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.

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.

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.

In this paper, we propose a methodology, based on the principal strata approach to causal inference, for assessing the relative effectiveness of two university study programmes with respect to the employment status of their graduates. The analysis relies on a parametric model fitted by maximum likelihood. In that context, we discuss some relevant modelling issues and the implications of the results for policy.

The aim of this paper is to show that labour-market outcomes related to holding a job are not valid measures of the relative impact of different programmes, while better performing measures are those related to holding jobs reaching given quality standards. For this purpose, we develop a simple job-search model: graduates decide whether to accept a job offer depending on the utility of the different options. If graduates with better work prospects are more selective than others, it can be shown that neither the exit rate from unemployment, nor the probability of being employed at a given time, are necessarily higher for those coming from “the best” university programmes. On the other hand, under mild conditions, neither the waiting time for a job reaching given quality standards nor the probability of having a “good job” depend on individual behaviour, but only on work opportunities: this makes the latter indicators better measures of external effectiveness. Nevertheless, while crosssectional data suffice for assessment of the working condition, evaluation of the waiting time for a “good job” requires longitudinal data.

In this paper, we put forward a mathematical and statistical model for measuring the “compatibility” between jobs and university curricula based on professional competences. Our model aims at comparing work requirements and the professional counterparts achievable at school. Even if the basic concepts might be valid for the analysis of outer educational realms, the model is devoted to the analysis of highly qualified jobs, and in specific those “from technical to managerial positions” that may be taught at university. Our model is general enough, too, to frame various studies on the job market and clarify the terminological, conceptual and operational entities of occupations.

The aim of this paper is to propose analytical tools for identifying peculiar aspects of the job market for graduates. The main objective is to reduce the complexity of the phenomenon, both on the variable side, by transforming the collected information into latent factors, and on the unit side, by classifying observations. We propose a strategy for dealing with data that have different source and nature. The dependence structure is investigated to identify potential evolutionary paths. Moreover, symbolic objects and their graphical representation are used for identifying the peculiar characteristics required by companies operating in different economic sectors.

The assessment of the employment potential of University graduates represents a direct evolution of the quality evaluation of higher education systems. This paper aims to identify competences that companies, which subscribed the Vulcano-database, require when selecting graduates for employment. Our analysis consists of two parts: one in which a quantitative score is associated through Rasch analysis to the companies’ interest with respect to four classes of characteristics and competences they take into consideration when selecting candidates. In the second part, we apply a segmentation analysis to check whether there is correspondence between companies that prefer certain university degrees and the interest levels towards the characteristics and competences so quantified.