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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

Gravity models of intra‐EU trade: application of the CCEP‐HT estimation in heterogeneous panels with unobserved common time‐specific factors

TL;DR: In this article, a generalized Hausman-Taylor estimation method was proposed to estimate the gravity equation of bilateral trade flows among 15 European countries over 1960-2001, and the results showed that the proposed approach provided more sensible results than the conventional approach based on fixed time dummies.
Book ChapterDOI

Higher education and equality of opportunity in Italy

TL;DR: In this article, the authors studied the degree of equality of educational opportunity in the Italian university system and provided testable conditions with the aim of testing for the existence of EOP in a given distribution and ranking distributions on the basis of EOp.
Posted Content

Fair and unfair income inequalities in Europe

TL;DR: This paper analyzed the extent of income inequality and opportunity inequality in 25 European countries and found that ex-ante equality of opportunity exhibits a positive correlation with public expenditure in education, whereas ex-post inequality of opportunity is also positively associated with union presence and to fiscal redistribution.
Posted Content

Gravity Models of the Intra-EU Trade: Application of the Hausman-Taylor Estimation in Heterogeneous Panels with Common Time-specific Factors ∗

TL;DR: In this article, the gravity equation of bilateral trade flows among 15 European countries over 1960-2001 is analyzed. But the authors explicitly allow for the existence of unobserved common time-specific factors where their individual responses are also allowed to be heterogeneous across cross-section units.
Journal ArticleDOI

Modelling technical efficiency in cross sectionally dependent stochastic frontier panels

TL;DR: In this article, a unified framework for accommodating both time and cross-sectional dependence in modelling technical efficiency in stochastic frontier models by combining the exogenously driven factor-based approach and an endogenous threshold efficiency regime selection mechanism was proposed.