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Measuring efficiency of Higher Education institutions

Author

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  • Tommaso Agasisti
  • Antonio Dal Bianco

Abstract

In this paper, we use Data Envelopment Analysis (DEA) and Stochastic Frontier (SF) analysis to obtain efficiency ranking and scores of Italian universities. The results are then compared. Differences between DEA and SF results are more attributable to heterogeneity among universities than to differences in methodologies. Indeed, after clustering universities in homogenous groups, similarities between DEA and SF results emerge. Finally, some policy implications are derived.

Suggested Citation

  • Tommaso Agasisti & Antonio Dal Bianco, 2009. "Measuring efficiency of Higher Education institutions," International Journal of Management and Decision Making, Inderscience Enterprises Ltd, vol. 10(5/6), pages 443-465.
    • Handle: RePEc:ids:ijmdma:v:10:y:2009:i:5/6:p:443-465
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    Citations

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    Cited by:

    1. Lutz Bornmann & Klaus Wohlrabe & Sabine Gralka, 2019. "The graduation shift of German universities of applied sciences," PLOS ONE, Public Library of Science, vol. 14(1), pages 1-19, January.
    2. Manuel Salas-Velasco, 2020. "Measuring and explaining the production efficiency of Spanish universities using a non-parametric approach and a bootstrapped-truncated regression," Scientometrics, Springer;Akadémiai Kiadó, vol. 122(2), pages 825-846, February.
    3. Tommaso Agasisti, 2016. "Cost structure, productivity and efficiency of the Italian public higher education industry 2001--2011," International Review of Applied Economics, Taylor & Francis Journals, vol. 30(1), pages 48-68, January.
    4. Delimiro Visbal-Cadavid & Mónica Martínez-Gómez & Francisco Guijarro, 2017. "Assessing the Efficiency of Public Universities through DEA. A Case Study," Sustainability, MDPI, vol. 9(8), pages 1-19, August.

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