This paper exploits student-level administrative data on the population of Italian university students from 2006 to 2014 to analyze the effects of high performing (HP) male or female peers on individual academic performance, according to the gender of the student. The identification strategy is...

In this paper we evaluate the impact of need-based grants on university drop-out rates in the first year of enrollment, using student-level administrative data from all Italian universities in the period 2003-2013. We exploit the fact that not all eligible students receive financial aid due to...

This paper exploits student-level administrative data on the population of Italian university students from 2006 to 2014 to analyze the effects of high performing (HP) male or female peers on individual academic performance, according to the gender of the student. The identification strategy is...