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Understanding the Transition to Work for First Degree University Graduates in Portugal: The case of the University of Évora

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Author Info
Aurora Galego () (Department of Economics, University of Évora)
António Caleiro () (Department of Economics, University of Évora)

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Abstract

A traditional way of looking at the importance of universities assumes that these are sources of many positive effects from the point of view of the inputs, i.e. from a demand side perspective. In accordance to this perspective, the importance of a university can be measured by its multiplier effects, at a regional or national level. This perspective can be complemented with the analysis of the issues associated with the transition to work by their graduates. The paper thus analyses the factors that reveal to be explanatory of the time spent by first degree students of a small university in Portugal, the University of Évora, in order to enter the labour market. In doing so, we employ a sample of 767 students and estimate several specifications of discrete-time duration models. The results show that there are significant differences among the students from the several courses and highlight the importance of the final mark in the course. On the other hand, we did find any significant differences between male and female students.

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File URL: http://www.decon.uevora.pt/working_papers.php?id=254
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Publisher Info
Paper provided by University of Évora, Department of Economics (Portugal) in its series Economics Working Papers with number 06_2009.

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Length: 19 pages
Date of creation: 2009
Date of revision:
Handle: RePEc:evo:wpecon:06_2009

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Related research
Keywords: Duration Models; Graduates; Labour Market; Universities;

Find related papers by JEL classification:
J64 - Labor and Demographic Economics - - Mobility, Unemployment, and Vacancies - - - Unemployment: Models, Duration, Incidence, and Job Search
I23 - Health, Education, and Welfare - - Education - - - Higher Education Research Institutions
C41 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Duration Analysis

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This page was last updated on 2009-11-22.


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