{"title":"Be true to your school: School profiling and school sorting by socio-economic status","authors":"Dieuwke Zwier","doi":"10.1016/j.ssresearch.2025.103239","DOIUrl":null,"url":null,"abstract":"<div><div>Many national education systems have schools that adopt distinctive elements like alternative pedagogical concepts or specialty themes. This “school profiling” is suggested to drive school segregation by socio-economic status (SES). Since most existing research has focused on U.S. charter schools and lacks large-scale student-level data, the connection between profiling and SES-based school sorting remains unclear. This study addresses this gap by focusing on the case of the Netherlands, a country known for its high school autonomy and freedom of school choice. I use population-wide register data from over 110,000 students (aged 11–12), linked to novel data on school profiling. The findings reveal social stratification in access to schools with distinctive profiles, with higher-SES students having access to a more diverse pool of schools. Furthermore, conditional logit models show evidence of self-sorting by SES for some profiles: for instance, schools with progressive learning concepts are less popular among lower-SES students, while higher-SES students are comparatively less likely to choose labor market-themed schools. These SES disparities, however, are modest and not always in the expected direction. Overall, findings underscore the role of access disparities in shaping SES-based sorting, next to differential preferences for schooling.</div></div>","PeriodicalId":48338,"journal":{"name":"Social Science Research","volume":"132 ","pages":"Article 103239"},"PeriodicalIF":3.5000,"publicationDate":"2025-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Social Science Research","FirstCategoryId":"90","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0049089X25001000","RegionNum":2,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"SOCIOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Many national education systems have schools that adopt distinctive elements like alternative pedagogical concepts or specialty themes. This “school profiling” is suggested to drive school segregation by socio-economic status (SES). Since most existing research has focused on U.S. charter schools and lacks large-scale student-level data, the connection between profiling and SES-based school sorting remains unclear. This study addresses this gap by focusing on the case of the Netherlands, a country known for its high school autonomy and freedom of school choice. I use population-wide register data from over 110,000 students (aged 11–12), linked to novel data on school profiling. The findings reveal social stratification in access to schools with distinctive profiles, with higher-SES students having access to a more diverse pool of schools. Furthermore, conditional logit models show evidence of self-sorting by SES for some profiles: for instance, schools with progressive learning concepts are less popular among lower-SES students, while higher-SES students are comparatively less likely to choose labor market-themed schools. These SES disparities, however, are modest and not always in the expected direction. Overall, findings underscore the role of access disparities in shaping SES-based sorting, next to differential preferences for schooling.
期刊介绍:
Social Science Research publishes papers devoted to quantitative social science research and methodology. The journal features articles that illustrate the use of quantitative methods in the empirical solution of substantive problems, and emphasizes those concerned with issues or methods that cut across traditional disciplinary lines. Special attention is given to methods that have been used by only one particular social science discipline, but that may have application to a broader range of areas.