This paper applies a data envelopment analysis (DEA) method to assess technical efficiency of both private and public universities in Italy. Moving from the traditional context where inputs and outputs are assumed to be non-negative, a directional distance function approach has been applied in...

In this paper, we test whether economic growth depends on human capital development using data disaggregated at territorial level and propose the use of efficiency estimates, measured using a non-parametric technique, as an alternative quality measure of higher education institutions (HEIs). The...

By using a heteroscedastic stochastic frontier model, this paper focuses on how students' exogenous characteristics (such as personal demographic information, pre-enrollment educational background and household economic status) affect faculties’ inefficiency. Using individual data on freshmen...