Utilize este identificador para referenciar este registo: http://hdl.handle.net/10362/159532
Título: Students with an immigrant background in the Lisbon Metropolitan Area
Autor: Almeida, Sílvia de
Firmino, João
Gabriel, João Mesquita
Hortas, Maria João
Nunes, Luís Catela
Palavras-chave: Lisbon Metropolitan Area
school performance
students with an immigrant background
Urban Studies
SDG 4 - Quality Education
Data: Jun-2023
Resumo: This paper focuses on the territorial distribution of students, in Lisbon Metropolitan Area (LMA), with an immigrant background enrolling in the 3rd cycle of basic education in Portugal and on the differences in the academic performance of students attending the last year of this cycle, considering their birthplace. Differences are examined by estimating several linear regression models using as dependent variable two performance indicators – students’ results in the 9th grade national exams in the Maths and Portuguese Language subjects; and a binary indicator of a successful academic record during the 3rd cycle. The results confirm significant differences in the students’ school performance depending on their birthplace: students from Brazil and Portuguese-speaking African countries (PALOP) have the most significant differences compared to students from Portugal. A substantial part of these differences is already present at the end of the 2nd cycle, and subsist when accounting for students’ socioeconomic characteristics. Our results show that a considerable part of the differences is explained by factors inherent to the school and the class, and not so much to the municipality, which might reveals the existence of some types of segregation experienced by these students, either at intra-municipality level (by the different schools) or intra-school level (by the different classes).
Descrição: Funding Information: Luís Catela Nunes acknowledges the support by Fundação para a Ciência e a Tecnologia (UID/ ECO/00124/2019, UIDB/00124/2020 and Social Sciences DataLab, PINFRA/22209/2016), POR Lisboa and POR Norte (Social Sciences DataLab, PINFRA/22209/2016). Funding Information: funded by the Association Empresários pela Inclusão Social. Special thanks to Mr. Diogo Simões Pereira and Professor Pedro Martins for the various comments and suggestions that helped to improve the results presented. Publisher Copyright: © 2022: Author(s).
Peer review: yes
URI: http://hdl.handle.net/10362/159532
DOI: https://doi.org/10.15847/cct.25864
ISSN: 1645-0639
Aparece nas colecções:NSBE: Nova SBE - Artigos em revista nacional com arbitragem científica

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