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Adjusting for cultural effects on countries’ education policy efficiency:an application of conditional full frontiers measures

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  • Halkos, George
  • Tzeremes, Nickolaos

Abstract

In this paper using Data Envelopment Analysis (DEA) we evaluate the influence of national culture on education policy efficiency for 20 OECD countries. For that reason bootstrap techniques have been employed in order to produce biased corrected efficiency scores and confidence intervals are been calculated. By using probabilistic approaches it conditions the effect of national cultural values on the obtained countries’ educational efficiencies. The empirical results indicate that the efficiency of education policy is mainly influenced from differences of individualistic and masculinity values among the countries. However the results clearly indicate that education policy reforms must be based outside those national cultural bounds in order to support national economies on their foreseen challenges.

Suggested Citation

  • Halkos, George & Tzeremes, Nickolaos, 2011. "Adjusting for cultural effects on countries’ education policy efficiency:an application of conditional full frontiers measures," MPRA Paper 30098, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:30098
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    References listed on IDEAS

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    1. Leopold Simar & Paul Wilson, 2000. "A general methodology for bootstrapping in non-parametric frontier models," Journal of Applied Statistics, Taylor & Francis Journals, vol. 27(6), pages 779-802.
    2. Léopold Simar & Paul Wilson, 2000. "Statistical Inference in Nonparametric Frontier Models: The State of the Art," Journal of Productivity Analysis, Springer, vol. 13(1), pages 49-78, January.
    3. Jill Johnes, 2006. "Measuring Efficiency: A Comparison of Multilevel Modelling and Data Envelopment Analysis in the Context of Higher Education," Bulletin of Economic Research, Wiley Blackwell, vol. 58(2), pages 75-104, April.
    4. Cinzia Daraio & Léopold Simar, 2005. "Introducing Environmental Variables in Nonparametric Frontier Models: a Probabilistic Approach," Journal of Productivity Analysis, Springer, vol. 24(1), pages 93-121, September.
    5. V Giménez & D Prior & C Thieme, 2007. "Technical efficiency, managerial efficiency and objective-setting in the educational system: an international comparison," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 58(8), pages 996-1007, August.
    6. George Halkos & Nickolaos Tzeremes, 2010. "The effect of foreign ownership on SMEs performance: An efficiency analysis perspective," Journal of Productivity Analysis, Springer, vol. 34(2), pages 167-180, October.
    7. 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.
    8. Cinzia Daraio & Léopold Simar, 2007. "Conditional nonparametric frontier models for convex and nonconvex technologies: a unifying approach," Journal of Productivity Analysis, Springer, vol. 28(1), pages 13-32, October.
    9. Léopold Simar & Paul W. Wilson, 1998. "Sensitivity Analysis of Efficiency Scores: How to Bootstrap in Nonparametric Frontier Models," Management Science, INFORMS, vol. 44(1), pages 49-61, January.
    10. Steve Bradley & Jill Johnes & Allan Little, 2010. "Measurement And Determinants Of Efficiency And Productivity In The Further Education Sector In England," Bulletin of Economic Research, Wiley Blackwell, vol. 62(1), pages 1-30, January.
    11. Bee, Malcolm & Dolton, Peter J, 1985. "Educational Production in Independent Secondary Schools," Bulletin of Economic Research, Wiley Blackwell, vol. 37(1), pages 27-40, January.
    12. Simar, Leopold & Wilson, Paul W., 2002. "Non-parametric tests of returns to scale," European Journal of Operational Research, Elsevier, vol. 139(1), pages 115-132, May.
    13. Laurens Cherchye & Kristof De Witte & Erwin Ooghe, 2008. "Equity and efficiency in private and public education: a nonparametric comparison," Working Papers of Department of Economics, Leuven ces0725, KU Leuven, Faculty of Economics and Business (FEB), Department of Economics, Leuven.
    14. 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.
    15. 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.
    16. A. T. Flegg & D. O. Allen & K. Field & T. W. Thurlow, 2004. "Measuring the efficiency of British universities: a multi-period data envelopment analysis," Education Economics, Taylor & Francis Journals, vol. 12(3), pages 231-249.
    17. Luciano Fanti & Luca Gori, 2010. "Public Education, Fertility Incentives, Neoclassical Economic Growth And Welfare," Bulletin of Economic Research, Wiley Blackwell, vol. 62(1), pages 59-77, January.
    18. Lucas, Robert Jr., 1988. "On the mechanics of economic development," Journal of Monetary Economics, Elsevier, vol. 22(1), pages 3-42, July.
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    More about this item

    Keywords

    Data Envelopment Analysis; Education; Linear programming; Statistics;
    All these keywords.

    JEL classification:

    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education
    • C60 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - General

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