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Excellence for all? Heterogeneity in high-schools’ value-added

Author

Listed:
  • P. GIVORD

    (Insee - Crest - Liepp)

  • M. SUAREZ CASTILLO

    (Insee - Crest)

Abstract

This paper presents a new method that goes beyond the measurement of average value-added of schools by measuring whether schools mitigate or intensify grades dispersion among initially similar students. In practice, school value-added is estimated at different levels of final achievements’ distribution by quantile regressionswith school specific fixed effects. This method is applied using exhaustive data of the 2015 French high-school diploma and controlling for initial achievements and socio-economic background. Results suggest that almostone-sixth of the high schools significantly reduce, or on the contrary increase, the dispersion in final grades which were expected given the initial characteristics of their intake.

Suggested Citation

  • P. Givord & M. Suarez Castillo, 2019. "Excellence for all? Heterogeneity in high-schools’ value-added," Documents de Travail de l'Insee - INSEE Working Papers g2019-14, Institut National de la Statistique et des Etudes Economiques.
    • Handle: RePEc:nse:doctra:g2019-14
    as

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    References listed on IDEAS

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    More about this item

    Keywords

    Value added; quantile regression; Student Growth Percentiles;
    All these keywords.

    JEL classification:

    • I20 - Health, Education, and Welfare - - Education - - - General
    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • C50 - Mathematical and Quantitative Methods - - Econometric Modeling - - - General

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