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Assessing the Relative Performance of University Departments: Teaching vs. Research

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  • Berna Haktanirlar Ulutas

    (Osmangazi University)

Abstract

Data Envelopment Analysis (DEA) is known as a non-parametric method to evaluate the relative efficiencies of a set of homogenous decision-making units (DMUs) (i.e., banking, health, education, etc.) that use multiple inputs to produce multiple outputs. DEA models also have applications for universities or specifically, departments of a university. In practice, determining input and output measures may be based on the available data. However, lack of defining an important measure or use of invalid data may mislead the decision maker. Therefore, this study aims to assess the affect of missing values such as by discarding of outputs on DMU’s efficiency values. The up-to-date data for the departments of an engineering faculty are considered and their performances are presented based on teaching and research oriented measures.

Suggested Citation

  • 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.
    • Handle: RePEc:ist:ancoec:v:13:y:2011:i:1:p:125-138
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    File URL: http://eidergisi.istanbul.edu.tr/sayi13/iueis13m8.pdf
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    References listed on IDEAS

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    Cited by:

    1. Gerhard Reichmann & Christian Schlögl, 2022. "On the possibilities of presenting the research performance of an institute over a long period of time: the case of the Institute of Information Science at the University of Graz in Austria," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(6), pages 3193-3223, June.

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    More about this item

    Keywords

    Data Envelopment Analysis; Higher Education; University Departments; Teaching; Research;
    All these keywords.

    JEL classification:

    • A22 - General Economics and Teaching - - Economic Education and Teaching of Economics - - - Undergraduate
    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • C44 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Operations Research; Statistical Decision Theory
    • I23 - Health, Education, and Welfare - - Education - - - Higher Education; Research Institutions

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