Higher education institutions' costs and efficiency: Taking the decomposition a further step
A multiproduct cost function is estimated for English higher education institutions using a panel of data from recent years. The panel approach allows estimation by means of a random parameter stochastic frontier model which provides considerable new insights in that it allows the impact on costs of inter-institutional differences in the cost function itself to be distinguished from inter-institutional differences in efficiency. The approach used here therefore resembles in some respects the non-parametric methods of efficiency evaluation. We report also on measures of average incremental cost of provision and on returns to scale and scope.
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- Greene, William, 2005. "Reconsidering heterogeneity in panel data estimators of the stochastic frontier model," Journal of Econometrics, Elsevier, vol. 126(2), pages 269-303, June.
- Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
- Geraint Johnes, "undated".
"Multi-Product Cost Functions and the Funding of Tuition in UK Universities,"
ec6/94, Department of Economics, University of Lancaster.
- 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.
- Efthymios G. Tsionas, 2002.
"Stochastic frontier models with random coefficients,"
Journal of Applied Econometrics,
John Wiley & Sons, Ltd., vol. 17(2), pages 127-147.
- Tsionas, E.G., 2001. "Stochastic Frontier Models with Random Coefficients," DEOS Working Papers 130, Athens University of Economics and Business.
- Tsionas, E.G., 2001. "Stochastic Frontier Models with Random Coefficients," Athens University of Economics and Business 130, Athens University of Economics and Business, Department of International and European Economic Studies.
- 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.
- Aigner, Dennis & Lovell, C. A. Knox & Schmidt, Peter, 1977. "Formulation and estimation of stochastic frontier production function models," Journal of Econometrics, Elsevier, vol. 6(1), pages 21-37, July.
- Cohn, Elchanan & Rhine, Sherrie L W & Santos, Maria C, 1989. "Institutions of Higher Education as Multi-product Firms: Economies of Scale and Scope," The Review of Economics and Statistics, MIT Press, vol. 71(2), pages 284-290, May.
- Cooper, Samuel T. & Cohn, Elchanan, 1997. "Estimation of a frontier production function for the South Carolina educational process," Economics of Education Review, Elsevier, vol. 16(3), pages 313-327, June.
- 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.
- Johnes, Geraint, 1997. "Costs and Industrial Structure in Contemporary British Higher Education," Economic Journal, Royal Economic Society, vol. 107(442), pages 727-37, May.
- 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.
- Steven B. Caudill, 2003. "Estimating a mixture of stochastic frontier regression models via the em algorithm: A multiproduct cost function application," Empirical Economics, Springer, vol. 28(3), pages 581-598, July.
- 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.
- Ray Barrell, 1999. "Labour productivity and convergence within Europe: East German and Irish experience," NIESR Discussion Papers 157, National Institute of Economic and Social Research.
- 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.
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