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Two dimensional efficiency measurements in Australian TAFE Institutes

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  • Fieger, Peter
  • Villano, Renato
  • Cooksey, Ray

Abstract

Technical and Further Education (TAFE) institutes provide for the majority of Australian government funded courses in vocational education. In this study we used institutional financial, educational, demographic and employed stochastic frontier analysis to develop two distinct efficiency measures. The first model examined institutional efficiency in the transformation of financial resources into teaching loads. The second model evaluated efficiency in the transformation of institutional resources into post-study employment outcomes. In both models we found significant inefficiencies in the Australian TAFE system. We then assessed the relationship between both efficiency measures. While there was no direct linear relationship, a distinct pattern was detectable. K-means cluster analysis was used to establish groupings of similar institutes and subsequent canonical discriminant analysis to develop a typology of these clusters. We conclude that, based on the measures developed in this study, there are inefficiencies in the Australian TAFE system for which an underlying typology exists.

Suggested Citation

  • Fieger, Peter & Villano, Renato & Cooksey, Ray, 2015. "Two dimensional efficiency measurements in Australian TAFE Institutes," MPRA Paper 64625, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:64625
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    References listed on IDEAS

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    1. Cullinane, Kevin & Song, Dong-Wook, 2006. "Estimating the Relative Efficiency of European Container Ports: A Stochastic Frontier Analysis," Research in Transportation Economics, Elsevier, vol. 16(1), pages 85-115, January.
    2. Malcolm Abbott & Chris Doucouliagos, 2009. "Competition and efficiency: overseas students and technical efficiency in Australian and New Zealand universities," Education Economics, Taylor & Francis Journals, vol. 17(1), pages 31-57.
    3. Keiji Hashimoto & Elchanan Cohn, 1997. "Economies of Scale and Scope in Japanese Private Universities," Education Economics, Taylor & Francis Journals, vol. 5(2), pages 107-115.
    4. 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.
    5. Worthington, Andrew C. & Lee, Boon L., 2008. "Efficiency, technology and productivity change in Australian universities, 1998-2003," Economics of Education Review, Elsevier, vol. 27(3), pages 285-298, June.
    6. Avkiran, Necmi K., 2001. "Investigating technical and scale efficiencies of Australian Universities through data envelopment analysis," Socio-Economic Planning Sciences, Elsevier, vol. 35(1), pages 57-80, March.
    7. Waldman, Donald M., 1982. "A stationary point for the stochastic frontier likelihood," Journal of Econometrics, Elsevier, vol. 18(2), pages 275-279, February.
    8. Hung-jen Wang & Peter Schmidt, 2002. "One-Step and Two-Step Estimation of the Effects of Exogenous Variables on Technical Efficiency Levels," Journal of Productivity Analysis, Springer, vol. 18(2), pages 129-144, September.
    9. 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.
    10. Abbott, M. & Doucouliagos, C., 2003. "The efficiency of Australian universities: a data envelopment analysis," Economics of Education Review, Elsevier, vol. 22(1), pages 89-97, February.
    11. Horne, Jocelyn & Hu, Baiding, 2008. "Estimation of cost efficiency of Australian universities," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 78(2), pages 266-275.
    12. Malcolm Abbott & Chris Doucouliagos, 2002. "A Data Envelopment Analysis of the Efficiency of Victorian TAFE Institutes," Australian Economic Review, The University of Melbourne, Melbourne Institute of Applied Economic and Social Research, vol. 35(1), pages 55-69, March.
    13. Roger Carrington & Tim Coelli & D. S. Prasada Rao, 2005. "The Performance Of Australian Universities: Conceptual Issues And Preliminary Results," Economic Papers, The Economic Society of Australia, vol. 24(2), pages 145-163, June.
    14. 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.
    15. 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.
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    More about this item

    Keywords

    Education; Efficiency; Productivity; Performance Measurement;
    All these keywords.

    JEL classification:

    • C1 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General
    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education

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