Measuring Italian university efficiency: a non-parametric approach
AbstractThis work analyses the performance of Italian universities taking into account technical efficiency. The study provides an assessment of levels of technical efficiency taking into account also environmental factors. We focus on the relationship between levels of technical efficiency and university students dropouts. The efficiency analysis, using Data Envelopment Analysis, w.r.t. the 2009/10 academic year, shows that universities belonging to the private sector have higher efficiency scores than public owned universities. Moreover, a difference arises on a geographical basis where centre-northern universities are generally more efficient than southern ones.
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Bibliographic InfoPaper provided by University Library of Munich, Germany in its series MPRA Paper with number 37949.
Date of creation: 10 Dec 2011
Date of revision: 29 Feb 2012
Technical efficiency – DEA – Second stage analysis;
Find related papers by JEL classification:
- C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
- I23 - Health, Education, and Welfare - - Education - - - Higher Education; Research Institutions
- I21 - Health, Education, and Welfare - - Education - - - Analysis of Education
This paper has been announced in the following NEP Reports:
- NEP-ALL-2012-04-17 (All new papers)
- NEP-CSE-2012-04-17 (Economics of Strategic Management)
- NEP-EDU-2012-04-17 (Education)
- NEP-EFF-2012-04-17 (Efficiency & Productivity)
- NEP-LAB-2012-04-17 (Labour Economics)
- NEP-PBE-2012-04-17 (Public Economics)
- NEP-SOG-2012-04-17 (Sociology of Economics)
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- Tommaso Agasisti & Geraint Johnes, 2009. "Beyond frontiers: comparing the efficiency of higher education decision-making units across more than one country," Education Economics, Taylor & Francis Journals, vol. 17(1), pages 59-79.
- Othman Joumady & Catherine Ris, 2005. "Performance in European higher education: A non-parametric production frontier approach," Education Economics, Taylor & Francis Journals, vol. 13(2), pages 189-205.
- Gary Madden & Scott Savage & Steven Kemp, 1997. "Measuring Public Sector Efficiency: A Study of Economics Departments at Australian Universities," Education Economics, Taylor & Francis Journals, vol. 5(2), pages 153-168.
- G. Johnes & J. Johnes, .
"Measuring the Research Performance of UK Economics Departments: An Application of Data Envelopment Analysis,"
ec17/90, Department of Economics, University of Lancaster.
- Johnes, Geraint & Johnes, Jill, 1993. "Measuring the Research Performance of UK Economics Departments: An Application of Data Envelopment Analysis," Oxford Economic Papers, Oxford University Press, vol. 45(2), pages 332-47, April.
- Smith, Jeremy & McKnight, Abigail & Naylor, Robin, 2000. "Graduate Employability: Policy and Performance in Higher Education in the UK," Economic Journal, Royal Economic Society, vol. 110(464), pages F382-411, June.
- Hoff, Ayoe, 2007. "Second stage DEA: Comparison of approaches for modelling the DEA score," European Journal of Operational Research, Elsevier, vol. 181(1), pages 425-435, August.
- Johnes, Jill, 2006. "Measuring teaching efficiency in higher education: An application of data envelopment analysis to economics graduates from UK Universities 1993," European Journal of Operational Research, Elsevier, vol. 174(1), pages 443-456, October.
- Jeremy P. Smith & Robin A. Naylor, 2001. "Dropping out of university: A statistical analysis of the probability of withdrawal for UK university students," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 164(2), pages 389-405.
- Simar, Leopold & Wilson, Paul W., 2007. "Estimation and inference in two-stage, semi-parametric models of production processes," Journal of Econometrics, Elsevier, vol. 136(1), pages 31-64, January.
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