Bonaccorsi, Andrea and Daraio, Cinzia and Räty, Tarmo and Simar, Léopold (2007): Efficiency and University Size: Discipline-wise Evidence from European Universities. Published in: VATT publications No. 46 (2007): pp. 309-334.
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Strategic management of universities must build the best possible relation between inputs and outputs. One relevant question, in this perspective, is whether the unit is making the best use of existing resources, or whether technical efficiency is in place. Here we address the question of technical efficiency with respect to university’s size. The crucial concept in this analysis is conditional efficiency and the ratio of size-conditional to unconditional efficiency measures. In particular we take use of robust order-m efficiency scores presented in Cazals, Florens and Simar (2002) and generalized in Daraio and Simar (2005a,b) to analyze data from four European countries and four different research fields. Our results are still explorative and mainly show how heterogeneous international datasets could be used to analyze productivity differences.
|Item Type:||MPRA Paper|
|Original Title:||Efficiency and University Size: Discipline-wise Evidence from European Universities|
|Subjects:||I - Health, Education, and Welfare > I2 - Education and Research Insititutions
C - Mathematical and Quantitative Methods > C1 - Econometric and Statistical Methods and Methodology: General > C14 - Semiparametric and Nonparametric Methods: General
C - Mathematical and Quantitative Methods > C1 - Econometric and Statistical Methods and Methodology: General > C15 - Statistical Simulation Methods: General
|Depositing User:||Tarmo Räty|
|Date Deposited:||03. Sep 2008 00:03|
|Last Modified:||13. Feb 2013 20:21|
Bonaccorsi, A. – Daraio, C. (2004): Econometric approaches to the analysis of productivity of R&D systems. Production functions and production frontiers. In: Moed, H.F. – Glanzel, W. – Schmoch, U. (eds.), Handbook of Quantitative Science and Technology Research, Kluwer Academic Publishers, 51–74.
Bonaccorsi A. – Daraio, C. (eds.), (2007): Universities and Strategic Knowledge Creation. Specialization and Performance in Europe. Edward Elgar PRIME Collection.
Bonaccorsi, A. – Daraio, C. – Simar, L. (2007): Efficiency and productivity in European Universities. Exploring trade-offs in the strategic profile. In: Bonaccorsi, A. – Daraio, C. (eds.), (2007), Universities and Strategic Knowledge Creation. Specialization and Performance in Europe. Edward Elgar PRIME Collection.
Bonaccorsi, A. – Daraio, C. – Lepori, B. (2007): Indicators for the analysis of Higher Education Systems: some methodological reflections. In: Bonaccorsi A. and C. Daraio, (eds.), (2007), Universities and Strategic Knowledge Creation. Specialization and Performance in Europe. Edward Elgar PRIME Collection.
Cazals, C. – Florens, J.-P. – Simar, L. (2002): Nonparametric frontier estimation: a robust approach, Journal of Econometrics, 106, 1–25.
Daraio, C. – Simar, L. (2007): Advanced Robust and Nonparametric Methods in Efficiency Analysis. Methodology and Applications, Springer, New York.
Daraio, C. – Simar, L. (2005a): Introducing Environmental Variables in Nonparametric Frontier Models: a Probabilistic Approach, Journal of Productivity Analysis, vol. 24, 1, 93–121.
Daraio, C. – Simar, L. (2005b): Conditional Nonparametric Frontier Models for Convex and Non Convex Technologies: A unifying Approach, Discussion Paper no. 0502, Institut de Statistique, UCL, Belgium, forthcoming in the Journal of Productivity Analysis.
Ehrenberg, R. G. (2004): Econometric studies of higher education, Journal of Econometrics, 121, 19–37.
Ruggiero, J. (2004): Performance evaluation in education. Modeling educational production, in W.W.W. Cooper, L.M. Seiford and J. Zhu (eds.), Handbook on Data Envelopment Analysis, Kluwer Academic Publishers, pp. 323–348.
Simar, L. – Wilson, P.W. (2007): Estimation and Inference in Two-stage, Semiparametric Models of Production Processes, Journal of Econometrics, 136, 31–64.
Ullah, A. (2001): Nonparametric Kernel Methods of Estimation, in B.H. Baltagi ed, A Companion to Theoretical Econometrics, Blackwell Publishers, pp. 429–443.