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

Pauline Givord and Milena Suarez
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Milena Suarez: INSEE - Institut national de la statistique et des études économiques (INSEE)

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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.

Keywords: school value-added; quantile regression; Student Growth Percentiles (search for similar items in EconPapers)
Date: 2020-10-01
Note: View the original document on HAL open archive server: https://sciencespo.hal.science/hal-03389176v1
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Working Paper: Excellence for all ? Heterogeneity in high-schools' value-added (2020) Downloads
Working Paper: Excellence for all? Heterogeneity in high-schools’ value-added (2019) Downloads
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