The paper investigates the gender wage gap among recently graduates,
controlling for job and academic variables and for the field of study, as women lag
behind in highly remunerative majors. The raw gender differential in hourly wages
is 5.6%. Although including academic variables and the field of study—on top of
job-related variables—slightly reduces the unexplained gap, the latter still accounts
for most of the total difference. Using quantile decomposition, the paper shows that
the unexplained gap increases along the wage distribution, indicating a glass ceiling
effect. Heterogeneities arise among fields of study: the largest total gap emerges in
Law, Political-Social sciences, and Economics-Statistics. In most disciplines, there
is a significant unexplained gap—from 3.3% (Medicine), to 8.7% (Law), up to 9.6%
(Agriculture)—which constitutes the largest share of the difference, confirming that
most of the wage gap remains unexplained also by major. Finally, I use geographical
differences to explore the influence of institutional and macro-economic variables,
as well as of attitudes towards gender norms. The results indicate that childcare and
part-time employment availability are correlated with lower gender wage gaps, while
traditional gender norms are associated with higher differentials.

• The paper investigates the gender wage gap among recently graduates, controlling for job and academic variables and for the field of study, as women lag behind in highly remunerative majors. The raw gender differential in hourly wages is 5.6%. Although inc