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Productivity analysis of Belarusian higher education system

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Author Info

  • Alexandr Gedranovich
  • Mykhaylo Salnykov

    (Belarusian Economic Research and Outreach Center (BEROC))

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    Abstract

    In this paper we explore the issue of the measurement of productivity in the context of higher education. We suggest applying data envelopment analysis (DEA) to estimate the productivity scores for universities of Belarus. This assessment will help to find out (a) if it possible to construct alternative tier-based ratings using DEA and peeling procedure; (b) what determines the difference in productivity between public and private universities; (c) what policy should be undertaken in order to improve the performance of universities.

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    File URL: http://www.beroc.by/webroot/delivery/files/WP16_eng_Gedranovich_Salnykov.pdf
    File Function: First version, 2012
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    Bibliographic Info

    Paper provided by Belarusian Economic Research and Outreach Center (BEROC) in its series BEROC Working Paper Series with number 16.

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    Length: 19 pages
    Date of creation: Jul 2012
    Date of revision:
    Handle: RePEc:bel:wpaper:16

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    Web page: http://www.beroc.by
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    Related research

    Keywords: Universities; Ratings; Data envelopment analysis; Super-efficiency; Assuarance region; Peeling;

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    References

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    1. Simar, L. & Wilson, P.W., 1999. "Statistical Inference in Nonparametric Frontier Models: the State of the Art," Papers 9904, Catholique de Louvain - Institut de statistique.
    2. 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.
    3. Wilson, Paul W, 1993. "Detecting Outliers in Deterministic Nonparametric Frontier Models with Multiple Outputs," Journal of Business & Economic Statistics, American Statistical Association, vol. 11(3), pages 319-23, July.
    4. Per Andersen & Niels Christian Petersen, 1993. "A Procedure for Ranking Efficient Units in Data Envelopment Analysis," Management Science, INFORMS, vol. 39(10), pages 1261-1264, October.
    5. R. D. Banker & A. Charnes & W. W. Cooper, 1984. "Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis," Management Science, INFORMS, vol. 30(9), pages 1078-1092, September.
    6. 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.
    7. Jean-Charles Billaut & Denis Bouyssou & Philippe Vincke, 2010. "Should you believe in the Shanghai ranking?," Post-Print hal-00388319, HAL.
    8. Cook, Wade D. & Seiford, Larry M., 2009. "Data envelopment analysis (DEA) - Thirty years on," European Journal of Operational Research, Elsevier, vol. 192(1), pages 1-17, January.
    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.
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