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Academic performance and territorial patterns of students with an immigrant background in the Lisbon Metropolitan Area

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This paper focuses on the territorial distribution of students with an immigrant background enrolled in the 3rd cycle of basic education in Portugal and on the differences in the academic performance of students enrolled in the last year of this cycle based on their birthplace and immigrant background when compared to their native peers in the Lisbon Metropolitan Area. These differences are examined by estimating several linear regression models using as dependent variable three performance indicators – student’s results in the 9th grade national exams in the Maths and Portuguese Language subjects, as well as a binary indicator of a successful academic record during the 3rd cycle. The observed results confirm the hypothesis that there are significant differences in the students’ academic performance depending on their immigrant background and birthplace: (i) 2nd-generation and 1st-generation students perform worse than Native students; (ii) students from Brazil and PALOP countries have the most significant differences compared to students from Portugal. We also identify that a substantial part of these differences is already present in the end of the 2nd cycle of basic education. Furthermore, our results indicate that a considerable part of the differences is explained by factors inherent to the school and the class of the student, and not so much to the municipality, which might indicate the existence of some type of segregation experienced by these students, either at intra-municipality level (by the different schools) or intra-school level (by the different classes).

Descrição

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Students with an immigrant background Academic results Lisbon Metropolitan Area

Contexto Educativo

Citação

Almeida, Sílvia de, Firmino, João, Mesquita, José, Hortas, Maria João, Nunes, Luís Catela. Academic performance and territorial patterns of students with an immigrant background in the Lisbon Metropolitan Area. (14 May, 2021) FEUNL Working Paper Series No. 638

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Nova School of Business and Economics

Licença CC