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Gender bias in the Erasmus students network

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  • Luca De Benedictis
  • Silvia Leoni

Abstract

The Erasmus Program (EuRopean community Action Scheme for the Mobility of University Students), the most important student exchange program in the world, financed by the European Union and started in 1987, is characterized by a strong gender bias. Girls participate to the program more than boys. This work quantifies the gender bias in the Erasmus program between 2008 and 2013, using novel data at the university level. It describes the structure of the program in great details, carrying out the analysis across fields of study, and identifies key universities as senders and receivers. In addition, it tests the difference in the degree distribution of the Erasmus network along time and between genders, giving evidence of a greater density in the female Erasmus network with respect to the one of the male Erasmus network.

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  • Luca De Benedictis & Silvia Leoni, 2020. "Gender bias in the Erasmus students network," Papers 2003.09167, arXiv.org.
    • Handle: RePEc:arx:papers:2003.09167
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    References listed on IDEAS

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    1. Alessandra Faggian & Philip McCann & Stephen Sheppard, 2007. "Some Evidence That Women Are More Mobile Than Men: Gender Differences In U.K. Graduate Migration Behavior," Journal of Regional Science, Wiley Blackwell, vol. 47(3), pages 517-539, August.
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    3. Vuong, Quang H, 1989. "Likelihood Ratio Tests for Model Selection and Non-nested Hypotheses," Econometrica, Econometric Society, vol. 57(2), pages 307-333, March.
    4. Luca De Benedictis, 2005. "Three Decades of Italian Comparative Advantages," The World Economy, Wiley Blackwell, vol. 28(11), pages 1679-1709, November.
    5. Barabási, Albert-László & Albert, Réka & Jeong, Hawoong, 1999. "Mean-field theory for scale-free random networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 272(1), pages 173-187.
    6. Derzsi, A. & Derzsy, N. & Káptalan, E. & Néda, Z., 2011. "Topology of the Erasmus student mobility network," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 390(13), pages 2601-2610.
    7. Gillespie, Colin S., 2015. "Fitting Heavy Tailed Distributions: The poweRlaw Package," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 64(i02).
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    Cited by:

    1. Kristijan Breznik & Marialuisa Restaino & Maria Prosperina Vitale & Giancarlo Ragozini, 2024. "Analyzing countries’ performances within the international student mobility program over time," Annals of Operations Research, Springer, vol. 342(3), pages 1925-1943, November.
    2. Momeni, Fakhri & Karimi, Fariba & Mayr, Philipp & Peters, Isabella & Dietze, Stefan, 2022. "The many facets of academic mobility and its impact on scholars' career," Journal of Informetrics, Elsevier, vol. 16(2).

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