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

Author

Listed:
  • Pauline Givord

    (Institut national de la statistique et des études économiques (INSEE), LIEPP - Laboratoire interdisciplinaire d'évaluation des politiques publiques (Sciences Po) - Sciences Po - Sciences Po)

  • Milena Suarez

    (INSEE)

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 achieve- ments' distribution by quantile regressions with 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 almost one-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

  • Pauline Givord & Milena Suarez, 2020. "Excellence for all ? Heterogeneity in high-schools' value-added," SciencePo Working papers Main hal-03389176, HAL.
    • Handle: RePEc:hal:spmain:hal-03389176
    Note: View the original document on HAL open archive server: https://sciencespo.hal.science/hal-03389176
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    References listed on IDEAS

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    More about this item

    Keywords

    school 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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