Estimating Added Value in Colombian Higher Education: A Multivariate Approach

In this study we analyse the added value that higher education institutions (HEIs) in Colombia provide to their students, for this we use data from the Saber 11 and Saber Pro tests registered in it. A hierarchical model is used to estimate the difference between the expected and actual performance of students in Saber Pro. Multivariate analysis techniques, such as principal component analysis (PCA) and cluster analysis, are applied to identify and group profiles according to their performance. Finally, data envelopment analysis (DEA) is used to evaluate the efficiency of HEIs in generating added value. The results show that the impact of universities varies according to the competence evaluated.