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Super-efficiency of education institutions: an application to economics departments

Author

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  • Matthias Gnewuch
  • Klaus Wohlrabe

Abstract

This paper investigates the efficiency of 188 economics departments around the world using data from RePEc. We go beyond the heavily used data envelopment analysis and utilize partial frontier analysis – specifically order-α and order-m – which addresses some of the drawbacks of the standard efficiency frontier analysis and allows for so-called super-efficient departments. We examine the particularities of these approaches and find that the super-efficient departments are not only the ‘usual suspects’. Furthermore, standard output rankings are not well correlated with our estimated efficiency rankings, which themselves are rather similar.

Suggested Citation

  • Matthias Gnewuch & Klaus Wohlrabe, 2018. "Super-efficiency of education institutions: an application to economics departments," Education Economics, Taylor & Francis Journals, vol. 26(6), pages 610-623, November.
  • Handle: RePEc:taf:edecon:v:26:y:2018:i:6:p:610-623
    DOI: 10.1080/09645292.2018.1471663
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    References listed on IDEAS

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    1. Per Andersen & Niels Christian Petersen, 1993. "A Procedure for Ranking Efficient Units in Data Envelopment Analysis," Management Science, INFORMS, vol. 39(10), pages 1261-1264, October.
    2. repec:spr:scient:v:86:y:2011:i:1:d:10.1007_s11192-010-0280-y is not listed on IDEAS
    3. Ortega, José Luis & López-Romero, Elena & Fernández, Inés, 2011. "Multivariate approach to classify research institutes according to their outputs: The case of the CSIC's institutes," Journal of Informetrics, Elsevier, vol. 5(3), pages 323-332.
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    6. Andrew Worthington, 2001. "An Empirical Survey of Frontier Efficiency Measurement Techniques in Education," Education Economics, Taylor & Francis Journals, vol. 9(3), pages 245-268.
    7. Aragon, Y. & Daouia, A. & Thomas-Agnan, C., 2005. "Nonparametric Frontier Estimation: A Conditional Quantile-Based Approach," Econometric Theory, Cambridge University Press, vol. 21(02), pages 358-389, April.
    8. Klaus Wohlrabe & Felix de Moya Anegon & Lutz Bornmann, 2018. "How efficiently produce elite US universities highly cited papers? A case study based on input and output data," ifo Working Paper Series 264, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.
    9. Joseph Macri & Dipendra Sinha, 2006. "Rankings Methodology for International Comparisons of Institutions and Individuals: an Application to Economics in Australia and New Zealand," Journal of Economic Surveys, Wiley Blackwell, vol. 20(1), pages 111-156, February.
    10. Emrouznejad, Ali & Parker, Barnett R. & Tavares, Gabriel, 2008. "Evaluation of research in efficiency and productivity: A survey and analysis of the first 30 years of scholarly literature in DEA," Socio-Economic Planning Sciences, Elsevier, vol. 42(3), pages 151-157, September.
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    12. Seiler, Christian & Wohlrabe, Klaus, 2012. "Ranking economists on the basis of many indicators: An alternative approach using RePEc data," Journal of Informetrics, Elsevier, vol. 6(3), pages 389-402.
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    14. Klaus Wohlrabe & Elisabeth Friedrich, 2017. "The efficiency of economics departments reconsidered," Economics Bulletin, AccessEcon, vol. 37(3), pages 1602-1611.
    15. Tommaso Agasisti & Geraint Johnes, 2009. "Beyond frontiers: comparing the efficiency of higher education decision-making units across more than one country," Education Economics, Taylor & Francis Journals, vol. 17(1), pages 59-79.
    16. Tauchmann, Harald, 2012. "Partial frontier efficiency analysis," Stata Journal, StataCorp LP, vol. 12(3), pages 1-20.
    17. Christopher Bruffaerts & Bram De Rock & Catherine Dehon, 2013. "The Research Efficiency of US Universities: a Nonparametric Frontier Modelling Approach," Working Papers ECARES ECARES 2013-31, ULB -- Universite Libre de Bruxelles.
    18. Breu, Theodore M. & Raab, Raymond L., 1994. "Efficiency and perceived quality of the nation's "top 25" National Universities and National Liberal Arts Colleges: An application of data envelopment analysis to higher education," Socio-Economic Planning Sciences, Elsevier, vol. 28(1), pages 33-45.
    19. Costas, Rodrigo & Bordons, María, 2007. "The h-index: Advantages, limitations and its relation with other bibliometric indicators at the micro level," Journal of Informetrics, Elsevier, vol. 1(3), pages 193-203.
    20. R. D. Banker & A. Charnes & W. W. Cooper, 1984. "Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis," Management Science, INFORMS, vol. 30(9), pages 1078-1092, September.
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    1. repec:gam:jpubli:v:7:y:2019:i:1:p:4-:d:196495 is not listed on IDEAS
    2. Baumann, Alexendra & Wohlrabe, Klaus, 2019. "Publikationen von Wirtschaftsforschungsinstituten im deutschsprachigen Raum - Eine bibliometrische Analyse
      [Publications of Economic Research Insitutes in the German Speaking Area - A bibliometric
      ," MPRA Paper 92240, University Library of Munich, Germany.
    3. repec:ces:ifosdt:v:71:y:2018:i:15:p:30-34 is not listed on IDEAS

    More about this item

    JEL classification:

    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education
    • I23 - Health, Education, and Welfare - - Education - - - Higher Education; Research Institutions
    • D61 - Microeconomics - - Welfare Economics - - - Allocative Efficiency; Cost-Benefit Analysis

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