By using data collected through a survey containing newly enrolled student in Management Engineering at the University of Brussels, we show that even if all students do not come with the same chance of success at university, their working/studying behavior may lessen the burden of the past....

In this paper, we follow the same logic as in Hausman (1978) to create a testing procedure that checks for the presence of outliers by comparing a regression estimator that is robust to outliers (S-estimator), with another that is more e¢ cient but a¤ected by them. Some simulations are...

In this paper we study the factors that influence both dropout and degree completion (4 or 5 years to earn a degree) at university using survival analysis. In particular, we apply the set of discrete-time methods for competing risks event history analysis described in Scott and Kennedy (2005)....

In this paper we examine the robustness properties of a specific type of orientation in the context of efficiency measurement using partial frontiers. This so called unconditional hyperbolic-quantile estimator of efficiency has been recently studied by Wheelock and Wilson (2008) and can be seen...

Understanding the factors that may impact how well universities are transforminga set of inputs into research outputs is of great interest for university andpublic authorities. The goal of this paper is on the one hand to measure the researchefficiencies of US universities and on the other hand...

By using a unique dataset containing the entire newly enrolled student population at the University of Brussels (ULB), this case study aims to be the first complete analysis of the determinants that infuence the student's path at university in Belgium. We analyze the probability of succeeding...

In the presence of outliers in a dataset, a least squares estimation may not be the most adequate choice to get representative results. Indeed estimations could have been excessively infuenced even by a very limited number of atypical observations. In this article, we propose a new Hausman-type...

Nonparametric correlation measures at the Kendall and Spearman correlation are widely used in the behavioral sciences. These measures are often said to be robust, in the sense of being resistant to outlying observations. In this note we formally study their robustness by means of their infuence...