Publication: Analysis of group performance with categorical data when
agents are heterogeneous: the evaluation of scholastic
performance in the OECD through PISA
Authors
Villar, Antonio
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Méndez Martínez, Ildefonso
Publisher
Elsevier
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DOI
https://doi.org/10.1016/j.econedurev.2014.02.001
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info:eu-repo/semantics/article
Description
© 2014 Elsevier Ltd. This document is the Published version of a Published Work that appeared in final form in Economics of Education Review. To access the final edited and published work see https://doi.org/10.1016/j.econedurev.2014.02.001
Abstract
This paper analyzes the evaluation of the relative performance of a set of groups when
their outcomes are defined in terms of categorical data and the groups’ members are
heterogeneous. This type of problem has been dealt with in Herrero and Villar (2013) for
the case of a homogeneous population. Here we expand their model controlling for
heterogeneity by means of inverse probability weighting techniques. We apply this
extended model to the analysis of the scholastic performance of fifteen-year-old students
in the OECD countries, using the data in the PISA. We evaluate the relative performance of
the different countries out of the distribution of the students’ achievements across the
different levels of competence, controlling by the students’ characteristics (explanatory
variables regarding schooling and family environment). We find that differences in
mathematical and reading abilities across OECD countries would lower by between 40%
and 50% if the students’ characteristics would be those for the OECD average
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Citation
Economics of Education Review, 2014, Vol. 40, pp. 140-151
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1-ene-2999
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