IDEAS home Printed from https://ideas.repec.org/p/lan/wpaper/566942.html
   My bibliography  Save this paper

An analysis of costs in institutions of higher education in England

Author

Listed:
  • E Thanassoulis
  • G Johnes
  • J Johnes

Abstract

Cost functions are estimated, using both random effects and stochastic frontier methods, for institutions of higher education in England. The paper advances on the existing literature by employing finer disaggregation by subject, institution type, and location, and by introducing consideration of quality effects. The findings are that, amongst undergraduates, medical students are the most costly, and non-science students the least; amongst postgraduates, those on taught courses are costly, while research students are relatively inexpensive. Provision in London is found to be more costly than that elsewhere. Estimates of economies of scale and economies of scope vary according to the choice of estimating technique. The random effects model suggests that ray economies of scale and economies of scope are ubiquitous. The stochastic frontier model suggests some product-specific economies of scale in research, but diseconomies elsewhere, and product specific economies of scope in undergraduate science, but diseconomies elsewhere. This has implications for achieving any expansion in higher education.

Suggested Citation

  • E Thanassoulis & G Johnes & J Johnes, 2005. "An analysis of costs in institutions of higher education in England," Working Papers 566942, Lancaster University Management School, Economics Department.
  • Handle: RePEc:lan:wpaper:566942
    as

    Download full text from publisher

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

    References listed on IDEAS

    as
    1. Philip Andrew Stevens, 2005. "A Stochastic Frontier Analysis of English and Welsh Universities," Education Economics, Taylor & Francis Journals, vol. 13(4), pages 355-374.
    2. 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.
    3. Johnes, Geraint, 1997. "Costs and Industrial Structure in Contemporary British Higher Education," Economic Journal, Royal Economic Society, vol. 107(442), pages 727-737, May.
    4. Glass, J C & McKillop, Donal G & Hyndman, N, 1995. "Efficiency in the Provision of University Teaching and Research: An Empirical Analysis of UK Universities," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 10(1), pages 61-72, Jan.-Marc.
    5. Wallace, T D & Hussain, Ashiq, 1969. "The Use of Error Components Models in Combining Cross Section with Time Series Data," Econometrica, Econometric Society, vol. 37(1), pages 55-72, January.
    6. Verry, D W & Layard, P R G, 1975. "Cost Functions for University Teaching and Research," Economic Journal, Royal Economic Society, vol. 85(337), pages 55-74, March.
    7. Jondrow, James & Knox Lovell, C. A. & Materov, Ivan S. & Schmidt, Peter, 1982. "On the estimation of technical inefficiency in the stochastic frontier production function model," Journal of Econometrics, Elsevier, vol. 19(2-3), pages 233-238, August.
    8. Geraint Johnes, 2004. "A Fourth Desideratum: The CES Cost Function and the Sustainable Configuration of Multiproduct Firms," Bulletin of Economic Research, Wiley Blackwell, vol. 56(4), pages 329-332, October.
    9. Battese, G E & Coelli, T J, 1995. "A Model for Technical Inefficiency Effects in a Stochastic Frontier Production Function for Panel Data," Empirical Economics, Springer, vol. 20(2), pages 325-332.
    10. Nerlove, Marc, 1971. "A Note on Error Components Models," Econometrica, Econometric Society, vol. 39(2), pages 383-396, March.
    11. 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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Brandt, Tasso & Schubert, Torben, 2012. "Is the University Model an Organizational Necessity? Scale and Agglomeration Effects in Science," Papers in Innovation Studies 2012/1, Lund University, CIRCLE - Center for Innovation, Research and Competences in the Learning Economy.
    2. E Thanassoulis & M Kortelainen & G Johnes & J Johnes, 2009. "Costs and Efficiency of Higher Education Institutions in England: A DEA Analysis," Working Papers 598827, Lancaster University Management School, Economics Department.

    More about this item

    Keywords

    higher education; cost functions;

    Statistics

    Access and download statistics

    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:566942. See general information about how to correct material in RePEc.

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

    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 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.

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

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.