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A DEA approach for measuring university departments’ efficiency

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  • Tzeremes, Nickolaos
  • Halkos, George

Abstract

This paper uses Data Envelopment Analysis (DEA) in order to determine the performance levels of 16 departments of a public owned university. Particularly, the constant returns to scale (CRS) and variable returns to scale (VRS) models have been applied alongside with bootstrap techniques in order to determine accurate performance estimates. The study illustrates how the recent developments in efficiency analysis and statistical inference can be applied when evaluating institutional performance issues. The results reveal the existence of misallocation of resources or/and inefficient application of departments’ policy development.

Suggested Citation

  • Tzeremes, Nickolaos & Halkos, George, 2010. "A DEA approach for measuring university departments’ efficiency," MPRA Paper 24029, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:24029
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    References listed on IDEAS

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    Citations

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    Cited by:

    1. Sami El-Mahgary & Petri Rönnholm & Hannu Hyyppä & Henrik Haggrén & Jenni Koponen, 2014. "Evaluating the performance of university course units using data envelopment analysis," Cogent Economics & Finance, Taylor & Francis Journals, vol. 2(1), pages 1-20, December.
    2. Berna Haktanirlar Ulutas, 2011. "Assessing the Relative Performance of University Departments: Teaching vs. Research," Istanbul University Econometrics and Statistics e-Journal, Department of Econometrics, Faculty of Economics, Istanbul University, vol. 13(1), pages 125-138, Special I.
    3. Halkos, George & Tzeremes, Nickolaos, 2011. "Does the Kyoto Protocol Agreement matters? An environmental efficiency analysis," MPRA Paper 30652, University Library of Munich, Germany.
    4. Linda du Plessis, 2015. "Putting The Planning Back Into An Academic Staff Plan," Proceedings of Teaching and Education Conferences 2403839, International Institute of Social and Economic Sciences.
    5. Angela Stefania Bergantino & Claudia Capozza & Francesco Porcelli, 2015. "Hotelling competition and teaching efficiency of Italian university faculties. A semi-parametric analysis," Working papers 26, Società Italiana di Economia Pubblica.
    6. BERBEGAL MIRABENT, Jasmina & SOLÉ PARELLADA, Francesc, 2012. "What Are We Measuring When Evaluating Universities’ Efficiency?," Regional and Sectoral Economic Studies, Euro-American Association of Economic Development, vol. 12(3).

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    More about this item

    Keywords

    Departments’ efficiency; Data Envelopment Analysis; Bootstrap techniques; Kernel density estimation;
    All these keywords.

    JEL classification:

    • I20 - Health, Education, and Welfare - - Education - - - General
    • I23 - Health, Education, and Welfare - - Education - - - Higher Education; Research Institutions
    • C67 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Input-Output Models
    • C60 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - General

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