Rankings and university performance: A conditional multidimensional approach

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.

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Document type	Article de périodique (Journal article) – Article de recherche
Access type	Accès interdit
Publication date	2015
Language	Anglais
Journal information	"European Journal of Operational Research" - Vol. 244, no.3, p. 918-930 (2015)
Peer reviewed	yes
Publisher	Elsevier BV * North-Holland (Amsterdam)
issn	0377-2217
e-issn	1872-6860
Publication status	Publié
Affiliation	UCL - SSH/LIDAM/ISBA - Institut de Statistique, Biostatistique et Sciences Actuarielles
Keywords	Rankings ; European universities ; DEA ; conditional directional distances ; robust frontiers ; bootstrap
Links	http://www.sciencedirect.com/science/article/pii/S0377221715000843 http://hdl.handle.net/2078.1/158978[Handle] https://doi.org/10.1016/j.ejor.2015.02.005[DOI]

See also
	[boreal:145259]	Rankings and university performance: a conditional multidimensional approach