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Measuring Efficiencies of Academic Departments within a College

Author

Listed:
  • Loren Tauer
  • Harold Fried
  • William Fry

Abstract

Technical and allocative efficiencies of 26 academic departments in the College of Agriculture and Life Sciences at Cornell University are computed using Data Envelopment Analysis over 2004/05. Allocations of faculty time between teaching, research, and extension vary by department and are used as unique prices in calculating allocative efficiencies. Departments not only vary in ability to convert inputs into outputs, but some also produce an incorrect mix of outputs given the prices placed on the outputs of that department. Colleges and universities can use this approach to evaluate and to adjust the performance of departments.

Suggested Citation

  • Loren Tauer & Harold Fried & William Fry, 2007. "Measuring Efficiencies of Academic Departments within a College," Education Economics, Taylor & Francis Journals, vol. 15(4), pages 473-489.
    • Handle: RePEc:taf:edecon:v:15:y:2007:i:4:p:473-489
    DOI: 10.1080/09645290701419516
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    Citations

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    Cited by:

    1. Haelermans, Carla & De Witte, Kristof & Blank, Jos L.T., 2012. "On the allocation of resources for secondary schools," Economics of Education Review, Elsevier, vol. 31(5), pages 575-586.
    2. Mad Ithnin Salleh & Nurul Fadly Habidin & Abdul Halim Masnan & Nordin Mamat, 2017. "Estimating Technical Efficiency and Bootstrapping Malmquist Indices: Analysis of Malaysian Preschool Sector," International Journal of Academic Research in Business and Social Sciences, Human Resource Management Academic Research Society, International Journal of Academic Research in Business and Social Sciences, vol. 7(3), pages 440-457, March.
    3. Kristof De Witte & Laura López-Torres, 2017. "Efficiency in education: a review of literature and a way forward," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 68(4), pages 339-363, April.
    4. Russell D. Kashian & Jeff Pagel, 2016. "Measuring X-Efficiency in NCAA Division III Athletics," Journal of Sports Economics, , vol. 17(6), pages 558-577, August.
    5. Ahti Salo & Antti Punkka, 2011. "Ranking Intervals and Dominance Relations for Ratio-Based Efficiency Analysis," Management Science, INFORMS, vol. 57(1), pages 200-214, January.
    6. Sonia Valeria Avilés-Sacoto & Wade D. Cook & David Güemes-Castorena & Francisco Benita & Hector Ceballos & Joe Zhu, 2018. "Evaluating the Efficiencies of Academic Research Groups: A Problem of Shared Outputs," Asia-Pacific Journal of Operational Research (APJOR), World Scientific Publishing Co. Pte. Ltd., vol. 35(06), pages 1-22, December.
    7. Tzeremes, Nickolaos & Halkos, George, 2010. "A DEA approach for measuring university departments’ efficiency," MPRA Paper 24029, University Library of Munich, Germany.
    8. Ma, Zhanxin & See, Kok Fong & Yu, Ming-Miin & Zhao, Chunying, 2021. "Research efficiency analysis of China's university faculty members: A modified meta-frontier DEA approach," Socio-Economic Planning Sciences, Elsevier, vol. 76(C).
    9. Mehdi Rhaiem, 2017. "Measurement and determinants of academic research efficiency: a systematic review of the evidence," Scientometrics, Springer;Akadémiai Kiadó, vol. 110(2), pages 581-615, February.
    10. Haelermans, Carla & Ruggiero, John, 2013. "Estimating technical and allocative efficiency in the public sector: A nonparametric analysis of Dutch schools," European Journal of Operational Research, Elsevier, vol. 227(1), pages 174-181.
    11. Renato A. Villano & Carolyn‐Dung T. T. Tran, 2021. "Survey on technical efficiency in higher education: A meta‐fractional regression analysis," Pacific Economic Review, Wiley Blackwell, vol. 26(1), pages 110-135, February.
    12. Cristian Barra & Roberto Zotti, 2016. "Measuring Efficiency in Higher Education: An Empirical Study Using a Bootstrapped Data Envelopment Analysis," International Advances in Economic Research, Springer;International Atlantic Economic Society, vol. 22(1), pages 11-33, February.

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