Using M-quantile models as an alternative to random effects to model the contextual value-added of schools in London

Nikos Tzavidis () and James J Brown ()
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Nikos Tzavidis: University of Manchester.
James J Brown: Department of Quantitative Social Science, Institute of Education, University of London. 20 Bedford Way, WC1H 0AL

No 10-11, DoQSS Working Papers from Quantitative Social Science - UCL Social Research Institute, University College London

Abstract: The measurement of school performance for secondary schools in England has developed from simple measures of marginal performance at age 16 to more complex contextual value-added measures that account for pupil prior attainment and background. These models have been developed within the multilevel modelling environment (pupils within schools) but in this paper we propose an alternative using a more robust approach based on M-quantile modelling of individual pupil efficiency. These efficiency measures condition on a pupils ability and background, as do the current contextual value-added models, but as they are measured at the pupil level a variety of performance measures can be readily produced at the school and higher (local authority) levels. Standard errors for the performance measures are provided via a bootstrap approach, which is validated using a model-based simulation.

Keywords: School Performance; Contextual Value-Added; M-Quantile Models; Pupil Efficiency; London (search for similar items in EconPapers)
JEL-codes: C14 C21 I21 (search for similar items in EconPapers)
Pages: 30 pages
Date: 2010-06-18
New Economics Papers: this item is included in nep-ecm, nep-edu and nep-ure
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