The regression discontinuity (RD) design is one of the most widely used nonexperimental
methods for causal inference and program evaluation. Over the last two decades, statistical …

The provision of grant aid is important to students' postsecondary opportunities and success.
It is well established that grant aid increases the probability of enrollment in postsecondary …

In regression discontinuity (RD) studies exploiting an award or admissions cutoff, causal
effects are nonparametrically identified for those near the cutoff. The effect of treatment on …

Socioeconomic inequalities in college completion have widened over time. A critical
question is how to support low-income and first-generation students to achieve college …

In this paper, we provide a comprehensive picture of social selectivity in higher education in
Italy by focusing on enrolment and two alternative indicators of success: retention and timely …

In nonexperimental settings, the regression discontinuity (RD) design is one of the most
credible identification strategies for program evaluation and causal inference. However, RD …

Despite the absence of formal entry barriers, Italy is lagging behind the majority of the
developed countries in the share of young individuals with tertiary education. Exploiting the …

In this work, we investigate whether grants improve the academic outcomes of students from
socio-economically disadvantaged families and thereby reduce inequalities of educational …

Evidence for the effectiveness of population health screenings to reduce the burden of non-
communicable diseases in low-income countries remains very limited. We investigate the …

Supplement to “Evaluating the causal effect of university grants on student dropout:
Evidence from a regression discontinuity design using principal stratification”. We describe …