Characterizing the European university system: A preliminary classification using census microdata

Science and Public Policy

Volumn 36, Issue 10, 2009, Pages 763-775

  Bonaccorsi, Andrea ^a   Daraio, Cinzia ^b  

^a UNIVERSITY OF PISA   (Italy)

^b UNIVERSITY OF BOLOGNA   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

CENSUS; CLUSTER ANALYSIS; DATA SET; RANKING; TEACHING; UNIVERSITY SECTOR;

EUROPE;

EID: 75849163544     PISSN: 03023427     EISSN: None     Source Type: Journal    
DOI: 10.3152/030234209X475245     Document Type: Article

References (44)

1. Aghion, P, M Dewatripont, C Hoxby, A Mas-Colell and A Sapir 2007. Why reform Europe's universities? Bruegel Policy Brief, Issue 2007/04, September.
2. Aldenderfer, M S and R K Blashfield 1984. Cluster Analysis. Newbury Park, CA: Sage.
3. Allison, P D, J S Long and T K Krauze 1982. Cumulative advan-tage and inequality of science. American Sociological Review, 47, 615-625.
4. Amaral, A, G A Jones and B Karseth eds. 2002. Governing Higher Education: National Perspectives on Institutional Governance. Dordrecht: Kluwer.
5. Bailey, K D 1994. Typologies and Taxonomies. an Introduction to Classification Techniques. Thousand Oaks: Sage.
6. Bonaccorsi, A 2009. Division of academic labor is limited by the size of the market: differentiation and performance in post-graduate education. In Learning to Compete in European Universities, eds. Maureen McKelvey and Magnus Holmen. Cheltenham: Edward Elgar.
7. Bonaccorsi, A and C Daraio 2003. Age effects in scientific productivity: the case of the Italian National Research Council (CNR). Scientometrics, 58(1), 47-88.
8. Bonaccorsi, A and C Daraio 2007. Universities and Strategic Knowledge Creation: Specialization and Performance in Europe. PRIME Series on Research and Innovation Policy in Europe. Cheltenham: Edward Elgar.
9. Bowker, G C and S L Star 2000. Sorting Things Out: Classification and its Consequences. Cambridge: MIT Press.
10. Bryant, R 2000. Discovery and Decision: Exploring the Metaphysics and Epistemology of Scientific Classification. Cranbury: Associated University Presses.
11. Carnegie Foundation for the Advancement of Teaching 2005. The Carnegie Classification of Institutions of Higher Education. Available at: , last accessed 01 September 2009.
12. CHEPS, Center for Higher Education Policy Studies 2008. Mapping Diversity: Developing a European Classification of Higher Education Institutions. Enschede, The Netherlands: CHEPS.
13. Dasgupta, P and P A David 1994. Towards a new economy of science. Research Policy, 23, 487-521.
14. De Fraja, Gianni and Elisabetta Iossa 2002. Competition among universities and the emergence of the elite institution. Bulletin of Economic Research, 54(3), July, 275-293.
15. De Solla Price, D J 1963. Little Science, Big Science. Columbia University Press, New
16. DelRey, Elena 2001. Teaching versus research: a model of state university competition. Journal of Urban Economics, 49(2), March, 356-373.
17. Dewatripont, M, F Thys-Clement and L Wilkin eds. 2002. European Universities: Change and Convergence? Editions de l'Université de Bruxelles.
18. Frey, B and K Rost 2008. Do rankings reflect research quality? CESIFO Working Paper No. 2443. October 2008.
19. Gardner, D P 2006. The Californian system: governing and management principles. In Transition to Mass Higher Education Systems: International Comparisons and Perspectives, Samuel Neaman Institute, Proceedings of the International Conference. Haifa: S Neaman Press.
20. Gautier, A and X Wauthy 2004. Teaching versus research: a multi-tasking approach to multi-department universities. CORE Working Paper.
21. Gumbel, E J 2004. Statistics of Extremes. New York: Dover Publications (original edn, Columbia University Press, 1958).
22. Hall, B H, J Mairesse and L Turner 2005. Identifying age, cohort and period effects in scientific research productivity: discussion and illustration using simulated and actual data on French physicists. NBER Working Paper.
23. Hemlin, S, C M Allwood and B R Martin 2004. Creative Knowledge Environments: the Influences on Creativity in Research and Innovation. Cheltenham: Edward Elgar.
24. Hardle, W and L Simar 2007. Applied Multivariate Statistical Analysis. Berlin: Springer-Verlag.
25. Harvey, L 2008. Editorial. rankings of higher education institutions: a critical review. Quality in Higher Education, 14(3), November, 187-207.
26. Huisman, J 2004. Differentiation and diversity in higher education systems. Research in Higher Education, 13.
27. IHEP, Institute for Higher Education Policy 2007. College and University Ranking Systems: Global Perspectives and American Challenges. April 2007. Washington, DC.
28. Khovanskaya, Irina, Konstantin Sonin and Maria Yudkevich 2007. Budget uncertainty and faculty contracts: a dynamic frame-work for comparative analysis. Working Paper No 112, CE-FIR/NES Working Paper series, December.
29. Kyvik, S 2004. Structural changes in higher education systems in Western Europe. Higher Education in Europe, 29(3), October, 393-409.
30. Laredo, P 2007. Revisiting the third mission of universities: toward a renewed categorisation of university activities? Higher Education Policy, 20(4).
31. Lepori, B, M Benninghoff, B Jongbloed, C Salerno and S Slipersæter 2007. Changing models and patterns of higher education funding: some empirical evidence. In Universities and Strategic Knowledge Creation: Specialization and Performance in Europe, eds. A Bonaccorsi and C Daraio. PRIME Se-ries on Research and Innovation Policy in Europe. Cheltenham: Edward Elgar.
32. Levin, S G and P E Stephan 1991. Research productivity over the life cycle: evidence for academic scientists. American Economic Review, 81(1), 114-132.
33. Long, J S and R McGinnis 1981. Organizational context and scientific productivity. American Sociological Review, 46(4), 422-442.
34. Long, J S, P D Allison and R McGinnis 1979. Entrance into the academic career. American Sociological Review, 44(5), 816-830.
35. Martinez, W L and A R Martinez 2005. Exploratory Data Analysis with Matlab. Chapman & Hall.
36. McKelvey, M and M Holmen eds. 2009. Learning to Compete in European Universities. Cheltenham: Edward Elgar.
37. Merton, R K 1968. The Matthew effect in science. Science, 159(3810), 56-63.
38. Merton, R K 1988. The Matthew effect in science, II: cumulative advantage and the symbolism of intellectual property, Isis, 79, 606-623.
39. Meyer, J W and B Rowan 1977. Institutionalized organizations: formal structure as myth and ceremony. American Journal of Sociology, 83, 340-363.
40. Scott, P 1995. Unified and binary systems of higher education in Europe. In Goals and Purposes of Higher Education in the 21st Century, ed. A Burgen, pp. 37-54. London: Jessica Kingsley.
41. Stephan Paula E 1996. The economics of science. Journal of Economic Literature, 34(3), September, 1199-1235.
42. Walckiers, A 2004. Multi-dimensional screening and university output. Paper presented to the Lille Journées de microéconomie appliqué, May.
43. Williams, R and N van Dyke 2007. Measuring the international standing of universities with an application to Australian universities. Higher Education: the International Journal of Higher Education and Educational Planning, 53(6), June, 819-841.
44. Williams, R and N van Dyke 2008. Reputation and reality: ranking major disciplines in Australian universities. Higher Education: the International Journal of Higher Education and Educational Planning, 56(1), July, 1-28.