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dc.contributor.authorBessudnov, Alexey
dc.contributor.authorMakarov, Alexey
dc.date.accessioned2015-01-07T16:59:37Z
dc.date.issued2014
dc.description.abstractGender differences in mathematical performance have received considerable scrutiny in the fields of sociology, economics, and psychology. We analyse a large data set of high school graduates who took a standardized mathematical test in Russia in 2011 (n=738,456) and find no substantial difference in mean test scores across boys and girls. However, boys have a greater variance of scores and are more numerous at the top of the distribution. We apply quantile regression to model the association between school characteristics and gender differences in test scores throughout the distribution of test scores. Male advantage in test scores, particularly at the top of the distribution, is concentrated in cities and in the schools with an advanced curriculum. In other high schools, especially in the countryside, gender differences in all parts of the distribution are small. We suggest several mechanisms based on selection and school effects that account for our findings.en_GB
dc.identifier.citationVol. 25 (1), pp. 63-81
dc.identifier.doi10.1080/09620214.2014.1000937
dc.identifier.urihttp://hdl.handle.net/10871/16125
dc.language.isoenen_GB
dc.publisherTaylor and Francisen_GB
dc.relation.replaces10871/16638
dc.relation.replaceshttp://hdl.handle.net/10871/16638
dc.relation.urlhttp://www.tandfonline.com/loi/riss20#.VK1kP51FDcsen_GB
dc.rights.embargoreasonRequirement of publisher
dc.subjectgender gap in mathematics; school effects; quantile regression; Russiaen_GB
dc.titleSchool context and gender differences in mathematical performance among school graduates in Russiaen_GB
dc.date.available2015-01-09T04:00:11Z
dc.identifier.issn0962-0214
pubs.merge-from10871/16638
pubs.merge-fromhttp://hdl.handle.net/10871/16638
dc.descriptionpublication-status: Accepteden_GB
dc.descriptiontypes: Articleen_GB
dc.identifier.journalInternational Studies in Sociology of Educationen_GB


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