Universities use 'first in family' or 'first generation' as an indicator to increase the diversity of their student intake, but little is known about whether it is a good indicator of disadvantage. We use nationally representative, longitudinal survey data linked to administrative data from...

Universities around the world are attempting to increase the diversity of their student population. This includes individuals who are "first in family" (FiF), those who achieve a university degree, but whose (step) parents did not. We provide the first large scale, quantitative evidence on FiF...

It is well established that boys perceive themselves to be better in mathematics than girls, even when their ability is the same. We examine the drivers of this male overconfidence in self-assessed mathematics ability using a longitudinal study of twins. This allows us to control for family...

This paper examines the effects of an increase in the compulsory school leaving age on the teenage fertility of Roma women, a disadvantaged ethnic minority in Hungary. We use a regression discontinuity design identification strategy and show that the reform decreased the probability of teenage...

This paper examines the effects of increasing the compulsory school leaving (CSL) age from 16 to 18 in Hungary using a regression discontinuity design (RDD) identification strategy. The new CSL age was introduced for those entering their first year of elementary school in 1998. Identification is...

This paper examines the effects that an increase in compulsory school-leaving (CSL) age has on the teenage fertility (both motherhood and pregnancy) of Roma women, a disadvantaged ethnic minority in Hungary. We use a regression discontinuity design identification strategy based on exact date of...