Suchergebnisse

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. Female students participate to the program more than male students. 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 detail, 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.

AbstractIn this paper, we look at the role of export composition in the growth process, considering how increased similarity in trade structure among countries can induce catching‐up in income levels in a group of countries in transition. We analyze the sectoral export patterns of the Central and Eastern European countries (CEECs) by comparing them to those of the current members of the European Union (EU), focusing on countries' specialization as suppliers for the EU market, and we assess whether similar export patterns foster the catching‐up process of the CEECs. Our main result is that similarity in export composition has a positive, significant and non‐linear impact on catching‐up, and seems to be driven by the growth of the main export market and delocalization of production more than by other factors.

Abstract
The paper shows how - using as an example the trade flows between eleven European countries and 31 OECD `reporting' countries - the result of a gravity model, in terms of potential trade, changes substantially when country heterogeneity and dynamics are taken into account.
Comparing the in-sample trade potential index derived from various estimators yields three different results: (a) the average trade potential index poorly represents the distribution of yearly trade potentials; (b) the index converges towards the demarcation value corresponding to the equality between observed and predicted trade flows when country heterogeneity and dynamics are taken into account; (c) the sign of its yearly average is not the right statistic with which to determine the (in)existence of unrealized trade potentials.
Finally, the index derived from a dynamic specification with multilateral fixed-effects is better able to reflect the role played by the time-variant country-specific unobservable element associated with the possible presence of positive or negative trade potentials.

This paper provides evidence for an aspect of trade often disregarded in international trade research: countries' sectoral export diversification. The results of our semiparametric empirical analysis show that, on average, countries do not specialize; on the contrary, they diversify. Our results are robust for different statistical indices used to measure trade specialization, for the level of sectoral aggregation, and for the level of smoothing in the nonparametric term associated with per capita income. Using a generalized additive model (GAM) with country-specific fixed effects it can be shown that, controlling for countries' heterogeneity, sectoral export diversification increases with income.