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Estimating the production function of university students

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  • K T Soo

Abstract

This paper estimates the production function for university students in English universities. Taking as the output the quality of a university degree and the dropout rate, we use as inputs teaching quality and quantity, entry qualifications, and the effort level. Our results uncover new findings regarding the importance of each of these elements in university performance. In particular, we find that the quality of teaching and entry qualifications affect degree performance, but not the number of hours of teaching or private study. Controlling for unobserved ability through a 2SLS/GMM estimator suggests that entry scores have no additional impact on degree performance beyond its role as a measure of student ability.

Suggested Citation

  • K T Soo, 2009. "Estimating the production function of university students," Working Papers 600466, Lancaster University Management School, Economics Department.
  • Handle: RePEc:lan:wpaper:600466
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    File URL: http://www.lancaster.ac.uk/media/lancaster-university/content-assets/documents/lums/economics/working-papers/ProductiveFunction.pdf
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    References listed on IDEAS

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    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. Robert E. Hall & Charles I. Jones, 1999. "Why do Some Countries Produce So Much More Output Per Worker than Others?," The Quarterly Journal of Economics, Oxford University Press, vol. 114(1), pages 83-116.
    3. Joshua D. Angrist & Alan B. Krueger, 2001. "Instrumental Variables and the Search for Identification: From Supply and Demand to Natural Experiments," Journal of Economic Perspectives, American Economic Association, vol. 15(4), pages 69-85, Fall.
    4. Soo, Kwok Tong & Elliott, Caroline, 2010. "Does price matter? Overseas students in UK higher education," Economics of Education Review, Elsevier, vol. 29(4), pages 553-565, August.
    5. Christopher F Baum & Mark E. Schaffer & Steven Stillman, 2007. "Enhanced routines for instrumental variables/GMM estimation and testing," Boston College Working Papers in Economics 667, Boston College Department of Economics, revised 05 Sep 2007.
    6. N. Gregory Mankiw & David Romer & David N. Weil, 1992. "A Contribution to the Empirics of Economic Growth," The Quarterly Journal of Economics, Oxford University Press, vol. 107(2), pages 407-437.
    7. Martins, Pedro S. & Walker, Ian, 2006. "Student Achievement and University Classes: Effects of Attendance, Size, Peers, and Teachers," IZA Discussion Papers 2490, Institute for the Study of Labor (IZA).
    8. Edward P. Lazear, 2001. "Educational Production," The Quarterly Journal of Economics, Oxford University Press, vol. 116(3), pages 777-803.
    9. Nazrul Islam, 1995. "Growth Empirics: A Panel Data Approach," The Quarterly Journal of Economics, Oxford University Press, vol. 110(4), pages 1127-1170.
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