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Assessing Efficiency Of Portuguese Universities Through Parametric And Non-Parametric Methods


  • Geraint Johnes

    () (Department for Education and Skills (UK))

  • Ana S. Camanho

    (Faculdade de Engenharia da Universidade do Porto)

  • Maria S. Portela

    (Universidade Católica Portuguesa)


In this paper we apply two methodologies to the measurement of efficiency in Portuguese Universities. These are a stochastic frontier parametric method and a non-parametric DEA method. We produce results from both methods in terms of efficiency estimates for each university over the period 2003 to 2005. We also produce, in both methods, unitary cost estimates of teaching students (undergraduates, master, and doctoral students) and of producing research outputs. Results from both methods can be said to be coincident to a certain extent, especially in what concerns the identification of worst performers. The productivity change of Portuguese universities in the period 2003-2005 was also explored using Malmquist indices.

Suggested Citation

  • Geraint Johnes & Ana S. Camanho & Maria S. Portela, 2008. "Assessing Efficiency Of Portuguese Universities Through Parametric And Non-Parametric Methods," Portuguese Journal of Management Studies, ISEG, Universidade de Lisboa, vol. 0(1), pages 39-66.
  • Handle: RePEc:pjm:journl:v:xiii:y:2008:i:1:p:39-66

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    References listed on IDEAS

    1. Baumol, William J, 1982. "Contestable Markets: An Uprising in the Theory of Industry Structure," American Economic Review, American Economic Association, vol. 72(1), pages 1-15, March.
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    3. Tommaso Agasisti & Geraint Johnes, 2010. "Heterogeneity and the evaluation of efficiency: the case of Italian universities," Applied Economics, Taylor & Francis Journals, vol. 42(11), pages 1365-1375.
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    5. Susanne Warning, 2004. "Performance Differences in German Higher Education: Empirical Analysis of Strategic Groups," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 24(4), pages 393-408, June.
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    7. Geraint Johnes, 1996. "Multi-product cost functions and the funding of tuition in UK universities," Applied Economics Letters, Taylor & Francis Journals, vol. 3(9), pages 557-561.
    8. Izadi, Hooshang & Johnes, Geraint & Oskrochi, Reza & Crouchley, Robert, 2002. "Stochastic frontier estimation of a CES cost function: the case of higher education in Britain," Economics of Education Review, Elsevier, vol. 21(1), pages 63-71, February.
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    More about this item


    Stochastic frontier; data envelopment analysis; Malmquist index; universities;

    JEL classification:

    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • D24 - Microeconomics - - Production and Organizations - - - Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity
    • I20 - Health, Education, and Welfare - - Education - - - General
    • I23 - Health, Education, and Welfare - - Education - - - Higher Education; Research Institutions


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