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Determinants of Tunisian Schools’ Efficiency: A DEA-Tobit Approach

Author

Listed:
  • Yahia, F.B.

    (University of Tunis, Tunisia)

  • Essid, H.

    (University of Tunis, Tunisia)

Abstract

The purpose of this paper is to assess the technical efficiency of Tunisian secondary education and to identify the determinants of its performance by using the Programme for International Student Assessment (PISA) 2015 survey. A two stage analysis is conducted; in the first stage we estimate efficiency score of each school by employing data envelopment analysis (DEA) approach. In the second stage, factors affecting school’s efficiency are examined through a Tobit regression analysis. Results show that almost 96.5% of schools are inefficient and on average, Tunisian schools could have increased their results by 27% using the same resources. We conclude that the number of students in the class has a positive effect on the efficiency scores of secondary schools. Furthermore, school responsibility for resource allocation and the socioeconomic background of students’ family influence negatively the school efficiency.

Suggested Citation

  • Yahia, F.B. & Essid, H., 2019. "Determinants of Tunisian Schools’ Efficiency: A DEA-Tobit Approach," Journal of Applied Management and Investments, Department of Business Administration and Corporate Security, International Humanitarian University, vol. 8(1), pages 44-56, February.
    • Handle: RePEc:ods:journl:v:8:y:2019:i:1:p:44-56
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    References listed on IDEAS

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    7. Haguiga, M. & Amani, L., 2019. "The Impact of Financial Development on Economic Growth," Journal of Applied Management and Investments, Department of Business Administration and Corporate Security, International Humanitarian University, vol. 8(2), pages 107-116, May.

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    More about this item

    Keywords

    economic education; efficiency; data envelopment analysis (DEA); Tobit regression; PISA;
    All these keywords.

    JEL classification:

    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • H75 - Public Economics - - State and Local Government; Intergovernmental Relations - - - State and Local Government: Health, Education, and Welfare

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