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...

Using the British Household Panel Survey (BHPS) data set, we investigate the effect of religion on subjective well-being (SWB), specifically taking into account the implication of selection effects explaining religious influence. In order to measure the level of religious involvement, we...

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...

Purpose The purpose of this paper is to investigate the effect of religious involvement on subjective well-being (SWB), specifically taking into account the implication of selection effects explaining religious influence using the British Household Panel Survey data set....

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...

This paper investigates the long-run economic relationship between health care expenditure and income in the world using data on 167 countries over the period 1995-2012, collected from the World Bank data set. The analysis is carried using panel data methods that allow one to account for...

We explore the relationship between the spatial distributions of excess deaths and care home facilities during the COVID-19 outbreak in Italy. Using registry-based mortality data (January 1st- March 31st, 2015-2020) for Lombardy, one of the areas hit most severely, we estimate that...