IDEAS home Printed from https://ideas.repec.org/p/lan/wpaper/600480.html
   My bibliography  Save this paper

Some university students are more equal than others: Evidence from England

Author

Listed:
  • C F Chen
  • K T Soo

Abstract

This paper estimates the efficiency of students in English universities using Data Envelopment Analysis (DEA) and a new dataset which is able to capture the behaviour of university students. Taking as the output the classification of a university degree, we use as inputs teaching hours and quality, entry qualifications, and the effort level. We find that university students differ in terms of the efficiency with which they use inputs in producing good degrees. In a second stage, we explore the determinants of the efficiency of university students using a truncated regression model. Higher student efficiency is found to be positively and significantly related to university size, and negatively and significantly related to the proportion of part-time students and the number of academic staff. The quality of a university has no significant impact on the efficiency of its students once endogeneity of university quality is controlled for.

Suggested Citation

  • C F Chen & K T Soo, 2009. "Some university students are more equal than others: Evidence from England," Working Papers 600480, Lancaster University Management School, Economics Department.
    • Handle: RePEc:lan:wpaper:600480
    as

    Download full text from publisher

    File URL: http://www.lancaster.ac.uk/media/lancaster-university/content-assets/documents/lums/economics/working-papers/UniversityStudents.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Luca Stanca, 2006. "The Effects of Attendance on Academic Performance: Panel Data Evidence for Introductory Microeconomics," The Journal of Economic Education, Taylor & Francis Journals, vol. 37(3), pages 251-266, July.
    2. Ray, Subhash C & Desli, Evangelia, 1997. "Productivity Growth, Technical Progress, and Efficiency Change in Industrialized Countries: Comment," American Economic Review, American Economic Association, vol. 87(5), pages 1033-1039, December.
    3. Johnes, Jill, 2006. "Data envelopment analysis and its application to the measurement of efficiency in higher education," Economics of Education Review, Elsevier, vol. 25(3), pages 273-288, June.
    4. Geraint Johnes & Jill Johnes (ed.), 2004. "International Handbook on the Economics of Education," Books, Edward Elgar Publishing, number 2847.
    5. Dyson, R. G. & Allen, R. & Camanho, A. S. & Podinovski, V. V. & Sarrico, C. S. & Shale, E. A., 2001. "Pitfalls and protocols in DEA," European Journal of Operational Research, Elsevier, vol. 132(2), pages 245-259, July.
    6. Jill Johnes, 2006. "Measuring Efficiency: A Comparison of Multilevel Modelling and Data Envelopment Analysis in the Context of Higher Education," Bulletin of Economic Research, Wiley Blackwell, vol. 58(2), pages 75-104, April.
    7. Jill Johnes, 2008. "Efficiency And Productivity Change In The English Higher Education Sector From 1996/97 To 2004/5," Manchester School, University of Manchester, vol. 76(6), pages 653-674, December.
    8. Edward P. Lazear, 2001. "Educational Production," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 116(3), pages 777-803.
    9. Simar, Leopold & Wilson, Paul W., 2007. "Estimation and inference in two-stage, semi-parametric models of production processes," Journal of Econometrics, Elsevier, vol. 136(1), pages 31-64, January.
    10. J Johnes, 2006. "Efficiency and productivity change in the English higher education sector from 1996/97 to 2002/03," Working Papers 575369, Lancaster University Management School, Economics Department.
    11. Johnes, Jill, 2006. "Measuring teaching efficiency in higher education: An application of data envelopment analysis to economics graduates from UK Universities 1993," European Journal of Operational Research, Elsevier, vol. 174(1), pages 443-456, October.
    12. Fare, Rolf & Grosskopf, Shawna & Norris, Mary, 1997. "Productivity Growth, Technical Progress, and Efficiency Change in Industrialized Countries: Reply," American Economic Review, American Economic Association, vol. 87(5), pages 1040-1043, December.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. repec:lan:wpaper:3334 is not listed on IDEAS
    2. repec:lan:wpaper:3057 is not listed on IDEAS
    3. repec:lan:wpaper:3055 is not listed on IDEAS
    4. 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.
    5. Daraio, Cinzia & Bonaccorsi, Andrea & Simar, Léopold, 2015. "Rankings and university performance: A conditional multidimensional approach," European Journal of Operational Research, Elsevier, vol. 244(3), pages 918-930.
    6. Aleksandra Parteka & Joanna Wolszczak-Derlacz, 2013. "Dynamics of productivity in higher education: cross-european evidence based on bootstrapped Malmquist indices," Journal of Productivity Analysis, Springer, vol. 40(1), pages 67-82, August.
    7. Aparicio, Juan & López-Torres, Laura & Santín, Daniel, 2018. "Economic crisis and public education. A productivity analysis using a Hicks-Moorsteen index," Economic Modelling, Elsevier, vol. 71(C), pages 34-44.
    8. 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.
    9. Yaisawarng, Suthathip & Ng, Ying Chu, 2014. "The impact of higher education reform on research performance of Chinese universities," China Economic Review, Elsevier, vol. 31(C), pages 94-105.
    10. Mad Ithnin Salleh & Shariffah Nur Illiana Syed Ismail & Nurul Fadly Habidin & Nor Azrin Md Latip, 2016. "Efficiency and Productivity Changes of the Malaysian Community Colleges," 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. 6(12), pages 407-424, December.
    11. Fritz Schiltz & Kristof Witte & Deni Mazrekaj, 2020. "Managerial efficiency and efficiency differentials in adult education: a conditional and bias-corrected efficiency analysis," Annals of Operations Research, Springer, vol. 288(2), pages 529-546, May.
    12. Barra, Cristian & Lagravinese, Raffaele & Zotti, Roberto, 2018. "Does econometric methodology matter to rank universities? An analysis of Italian higher education system," Socio-Economic Planning Sciences, Elsevier, vol. 62(C), pages 104-120.
    13. Tzeremes, Nickolaos & Halkos, George, 2010. "A DEA approach for measuring university departments’ efficiency," MPRA Paper 24029, University Library of Munich, Germany.
    14. Jie Wu & Ganggang Zhang & Qingyuan Zhu & Zhixiang Zhou, 2020. "An efficiency analysis of higher education institutions in China from a regional perspective considering the external environmental impact," Scientometrics, Springer;Akadémiai Kiadó, vol. 122(1), pages 57-70, January.
    15. Yang, Guo-liang & Fukuyama, Hirofumi & Song, Yao-yao, 2018. "Measuring the inefficiency of Chinese research universities based on a two-stage network DEA model," Journal of Informetrics, Elsevier, vol. 12(1), pages 10-30.
    16. Agasisti, Tommaso & Egorov, Aleksei & Serebrennikov, Pavel, 2023. "Universities’ efficiency and the socioeconomic characteristics of their environment — Evidence from an empirical analysis," Socio-Economic Planning Sciences, Elsevier, vol. 85(C).
    17. Marcel Clermont, 2016. "Effectiveness and efficiency of research in Germany over time: an analysis of German business schools between 2001 and 2009," Scientometrics, Springer;Akadémiai Kiadó, vol. 108(3), pages 1347-1381, September.
    18. Johnes, Jill, 2006. "Data envelopment analysis and its application to the measurement of efficiency in higher education," Economics of Education Review, Elsevier, vol. 25(3), pages 273-288, June.
    19. Deutsch, Joseph & Dumas, Audrey & Silber, Jacques, 2013. "Estimating an educational production function for five countries of Latin America on the basis of the PISA data," Economics of Education Review, Elsevier, vol. 36(C), pages 245-262.
    20. Calogero Guccio & Marco Ferdinando Martorana & Luisa Monaco, 2016. "Evaluating the impact of the Bologna Process on the efficiency convergence of Italian universities: a non-parametric frontier approach," Journal of Productivity Analysis, Springer, vol. 45(3), pages 275-298, June.
    21. K T Soo, 2009. "Estimating the production function of university students," Working Papers 600466, Lancaster University Management School, Economics Department.
    22. Touati-Tliba, Mohamed, 2024. "Comparative performance of Algeria's education districts: The Influence of colonial legacy through cultural capital," Socio-Economic Planning Sciences, Elsevier, vol. 91(C).
    23. Johnes, Jill & Yu, Li, 2008. "Measuring the research performance of Chinese higher education institutions using data envelopment analysis," China Economic Review, Elsevier, vol. 19(4), pages 679-696, December.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:lan:wpaper:600480. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Giorgio Motta (email available below). General contact details of provider: https://edirc.repec.org/data/delanuk.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.