Rankings and university performance: a conditional multidimensional approach

Cinzia Daraio (), Andrea Bonaccorsi () and Leopold Simar
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Cinzia Daraio: Department of Computer, Control and Management Engineering, Universita' degli Studi di Roma "La Sapienza"
Andrea Bonaccorsi: Department of Electrical Systems and Automation, University of Pisa, Italy

No 2014-09, DIAG Technical Reports from Department of Computer, Control and Management Engineering, Universita' degli Studi di Roma "La Sapienza"

Abstract: University rankings are the subject of a paradox: the more they are criticized by social scientists and experts on methodological grounds, the more they receive attention in policy making and the media. In this paper we attempt to give a contribution to the birth of a new generation of rankings, one that might improve on the current state of the art, by integrating new kind of information and using new ranking techniques. Our approach tries to overcome four main criticisms of university rankings, namely: monodimensionality; statistical robustness; dependence on university size and subject mix; lack of consideration of the input-output structure. We provide an illustration on European universities and conclude by pointing on the importance of investing in data integration and open data at European level both for research and for policy making.

Keywords: Rankings; European universities; DEA; conditional directional distances; robust frontiers; bootstrap (search for similar items in EconPapers)
Date: 2014
New Economics Papers: this item is included in nep-edu, nep-eff and nep-sog
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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http://www.dis.uniroma1.it/~bibdis/RePEc/aeg/report/2014-09.pdf First version, 2014 (application/pdf)

Related works:
Journal Article: Rankings and university performance: A conditional multidimensional approach (2015)
Working Paper: Rankings and university performance: A conditional multidimensional approach (2015)
Working Paper: Rankings and university performance: a conditional multidimensional approach (2014)
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