The funding and efficiency of higher education in Croatia and Slovenia: a non-parametric comparison
The paper applies a non-parametric approach, i.e. data envelopment analysis (DEA), to assess the relative technical efficiency of higher education across countries, with a particular focus on Croatia and Slovenia. When estimating the efficiency frontier we focus on measures of quantities outputs/outcomes. The results show that the relatively high public expenditure per student in Croatia could have resulted in a relatively better performance regarding the outputs/outcomes, i.e. a higher rate of higher education school enrolment, a greater rate of labor force with a higher education and a lower rate of the unemployed who have a tertiary education. On the other hand, regardless of the input-output/outcome mix, the higher education system in Slovenia is shown to have a much higher level of efficiency compared to both Croatia and many other comparable EU and OECD countries.
|Date of creation:||10 Jan 2011|
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Web page: https://mpra.ub.uni-muenchen.de
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- Antreas Athanassopoulos & Estelle Shale, 1997. "Assessing the Comparative Efficiency of Higher Education Institutions in the UK by the Means of Data Envelopment Analysis," Education Economics, Taylor & Francis Journals, vol. 5(2), pages 117-134.
- Chapple, Wendy & Lockett, Andy & Siegel, Donald & Wright, Mike, 2005.
"Assessing the relative performance of U.K. university technology transfer offices: parametric and non-parametric evidence,"
Elsevier, vol. 34(3), pages 369-384, April.
- Wendy Chapple & Andy Lockett & Donald S. Siegel & Mike Wright, 2004. "Assessing the Relative Performance of U.K. University Technology Transfer Offices: Parametric and Non-Parametric Evidence," Rensselaer Working Papers in Economics 0423, Rensselaer Polytechnic Institute, Department of Economics.
- Audretsch, David B & Lehmann, Erik E & Warning, Susanne, 2003. "University Spillovers: Strategic Location and New Firm Performance," CEPR Discussion Papers 3837, C.E.P.R. Discussion Papers.
- John DiNardo & Justin L. Tobias, 2001. "Nonparametric Density and Regression Estimation," Journal of Economic Perspectives, American Economic Association, vol. 15(4), pages 11-28, Fall.
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