In recent years more and more numerous are the rankings published in newspapers or technical reports available, covering many aspects of higher education, but in many cases with very conflicting results between them, due to the fact that universities' performances depend on the set of variables considered and on the methods of analysis employed. This study measures the efficiency of Italian higher education using both parametric and non-parametric techniques and uses the results to provide guidance to university managers and policymakers regarding the most appropriate method for their needs. The findings reveal that, on average and among the macro-areas of the country, the level of efficiency does not change significantly among estimation approaches, which produce different rankings, instead. This may have important implications as rankings have a strong impact on academic decision-making and behaviour, on the structure of the institutions and also on students and graduates recruiters.

Does econometric methodology matter to rank universities? An analysis of Italian higher education system

ZOTTI, Roberto
2018-01-01

Abstract

In recent years more and more numerous are the rankings published in newspapers or technical reports available, covering many aspects of higher education, but in many cases with very conflicting results between them, due to the fact that universities' performances depend on the set of variables considered and on the methods of analysis employed. This study measures the efficiency of Italian higher education using both parametric and non-parametric techniques and uses the results to provide guidance to university managers and policymakers regarding the most appropriate method for their needs. The findings reveal that, on average and among the macro-areas of the country, the level of efficiency does not change significantly among estimation approaches, which produce different rankings, instead. This may have important implications as rankings have a strong impact on academic decision-making and behaviour, on the structure of the institutions and also on students and graduates recruiters.
2018
62
104
120
http://www.sciencedirect.com/science/article/pii/S0038012117300381
University league tables, Efficiency, Data Envelopment Analysis, Stochastic Frontier Analysis, Ranking of universities
Cristian Barra; Raffaele Lagravinese; Roberto Zotti
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2318/1650106
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