L
Laura Serlenga
Researcher at University of Bari
Publications - 56
Citations - 809
Laura Serlenga is an academic researcher from University of Bari. The author has contributed to research in topics: Inequality & Panel data. The author has an hindex of 12, co-authored 52 publications receiving 733 citations. Previous affiliations of Laura Serlenga include Sapienza University of Rome.
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Journal ArticleDOI
Fairness in education: The Italian university before and after the reform
TL;DR: The main novelty brought by the reform was a reduction of the length of study to get a first level degree together with the introduction of a 2-years, second level, master degree as mentioned in this paper.
Posted Content
Higher education and equality of opportunity in Italy
Vito Peragine,Laura Serlenga +1 more
TL;DR: In this article, a definition of educational opportunities is proposed and a comprehensive model that allows to test for the existence of equality of opportunity in a given distribution and to rank distributions according to equality of opportunities.
Book ChapterDOI
Inequality of Opportunity in Europe: Is There a Role for Institutions?☆
TL;DR: In this article, the cross-country differences in conventional measures of inequality of opportunity in Europe in the space of individual disposable incomes were studied, finding evidence of negative correlation with educational expenditure (especially at the pre-primary level) and passive labour market policies.
Journal ArticleDOI
Intentions to Return of Clandestine Migrants: The Perverse Effect of Illegality on Skills
TL;DR: In this article, the authors show that highly skilled irregular migrants are more likely to return home than migrants with low or no skills when illegality causes "skill waste", i.e., when the illegality reduces the rate of return of individual capabilities in the country of destination.
Posted Content
Globalisation and Technological Convergence in the EU
TL;DR: In this paper, the authors employ a two-step approach in investigating the dynamic transmission chan- nels under which globalization factors foster technical efficiency by combining a dynamic efficiency analysis in the stochastic frontier framework, and a time series approach based on VAR and spectral analysis.