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School externalities and scholastic performance: an efficiency analysis

Author

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  • Joseph Deutsch
  • Audrey Dumas
  • Jacques Silber

Abstract

Purpose - The purpose of this paper is to analyze the determinants of scholastic performance using an efficiency analysis perspective. Design/methodology/approach - The authors apply data envelopment analysis (DEA) at the pupil level using the 2009 PISA survey in Azerbaijan. Before applying DEA with multiple outputs, this paper integrates the maximum amount of available information on inputs via the use of correspondence analysis. Findings - The results show that scholastic efficiency depends positively on the externalities due to the resources of the school and to a peer effect. The analysis of the determinants of these externalities shows how they influence scholastic performance and has some policy implications. Practical implications - Education policies should promote the resource externality, because its effect is more homogeneous among pupils. The mechanisms generating school externalities should be taken into consideration by educational authorities, when allocating resources to school and should give some guidelines about how to use these resources and how to manage a school in order to promote peer effects externalities. Originality/value - The authors distinguish various sources of efficiency: that of the pupil and that due to school externalities operating via resources and peer effects. The authors relate the efficiency due to school externalities to individual, family and school characteristics.

Suggested Citation

  • Joseph Deutsch & Audrey Dumas & Jacques Silber, 2019. "School externalities and scholastic performance: an efficiency analysis," International Journal of Manpower, Emerald Group Publishing Limited, vol. 40(1), pages 102-119, March.
    • Handle: RePEc:eme:ijmpps:ijm-09-2017-0220
    DOI: 10.1108/IJM-09-2017-0220
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    Citations

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    Cited by:

    1. Capasso, Salvatore & Kaisari, Maria & Kounetas, Konstantinos & Lainas, Elias, 2024. "School productive performance and technology gaps: New evidence from PISA 2018," Economic Modelling, Elsevier, vol. 131(C).
    2. Ece Ucar & E. Ertugrul Karsak, 2024. "Evaluating Educational Performance of OECD Countries with Common-Weight DEA-Based Models," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 15(3), pages 13673-13700, September.
    3. Meital Izraelov & Jacques Silber, 2019. "An assessment of the global food security index," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 11(5), pages 1135-1152, October.

    More about this item

    Keywords

    Data envelopment analysis; Azerbaijan; Correspondence analysis; Decomposition of efficiency; Educational production function; Peer effects; PISA data; A20; O15;
    All these keywords.

    JEL classification:

    • A20 - General Economics and Teaching - - Economic Education and Teaching of Economics - - - General
    • O15 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Economic Development: Human Resources; Human Development; Income Distribution; Migration

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