Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/328658 
Year of Publication: 
2023
Citation: 
[Journal:] Economies [ISSN:] 2227-7099 [Volume:] 11 [Issue:] 2 [Article No.:] 32 [Year:] 2023 [Pages:] 1-20
Publisher: 
MDPI, Basel
Abstract: 
This paper investigates the determinants of mathematics performance by gender, exploiting a multilevel random forest approach. OECD PISA 2018 data from 28 European countries are employed to explore the performance of male and female students as a function of students' family characteristics, their attitudes towards education, and class and school environment. Results show that the gender gap in favour of boys persists in most European countries. However, teacher and school practices like fostering student reading and creating a cooperative environment allow mitigating the influence of family background in countries without gender gap. Policy implications to foster performance equality are provided.
Subjects: 
comparative analysis
gender gap
mathematics achievement
random forest
Persistent Identifier of the first edition: 
Creative Commons License: 
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Document Type: 
Article

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