Admission conditions and graduates' employability

Detalhes bibliográficos
Autor(a) principal: Alexandre, Fernando
Data de Publicação: 2008
Outros Autores: Portela, Miguel, Sá, Carla Angélica da Silva Pinto de
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/1822/7877
Resumo: We evaluate the information content of admission conditions for study programs’ quality by investigating its relationship with graduates’ employability. We find that study programs with larger numeri clausi are associated with a higher probability of finding a job. Additionally, compulsory admission exams seem to be informative about study programs’ quality. Namely, study programs requiring the Math exam appear to be linked with lower unemployment propensity. Cardoso et al. (2008), however, found that those programs face lower demand when compared to other studies. These paradoxical results suggest that students’ choices may be based on insufficient information on returns to higher education investment. That information failure indicates that a Government intervention may be due.
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spelling Admission conditions and graduates' employabilityHigher educationUnemployment propensityFractional modelsWe evaluate the information content of admission conditions for study programs’ quality by investigating its relationship with graduates’ employability. We find that study programs with larger numeri clausi are associated with a higher probability of finding a job. Additionally, compulsory admission exams seem to be informative about study programs’ quality. Namely, study programs requiring the Math exam appear to be linked with lower unemployment propensity. Cardoso et al. (2008), however, found that those programs face lower demand when compared to other studies. These paradoxical results suggest that students’ choices may be based on insufficient information on returns to higher education investment. That information failure indicates that a Government intervention may be due.NIPE – Núcleo de Investigação em Políticas Económicas – is supported by the Portuguese Foundation for Science and Technology through the Programa Operacional Ciência e Inovação 2010 (POCI 2010) of the III Quadro Comunitário de Apoio (QCA III), which is financed by FEDER and Portuguese funds.Universidade do Minho. Núcleo de Investigação em Políticas Económicas (NIPE)Universidade do MinhoAlexandre, FernandoPortela, MiguelSá, Carla Angélica da Silva Pinto de20082008-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/1822/7877engNIPE Working Paper series; 16info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-07-21T12:48:17Zoai:repositorium.sdum.uminho.pt:1822/7877Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T19:46:28.772486Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Admission conditions and graduates' employability
title Admission conditions and graduates' employability
spellingShingle Admission conditions and graduates' employability
Alexandre, Fernando
Higher education
Unemployment propensity
Fractional models
title_short Admission conditions and graduates' employability
title_full Admission conditions and graduates' employability
title_fullStr Admission conditions and graduates' employability
title_full_unstemmed Admission conditions and graduates' employability
title_sort Admission conditions and graduates' employability
author Alexandre, Fernando
author_facet Alexandre, Fernando
Portela, Miguel
Sá, Carla Angélica da Silva Pinto de
author_role author
author2 Portela, Miguel
Sá, Carla Angélica da Silva Pinto de
author2_role author
author
dc.contributor.none.fl_str_mv Universidade do Minho
dc.contributor.author.fl_str_mv Alexandre, Fernando
Portela, Miguel
Sá, Carla Angélica da Silva Pinto de
dc.subject.por.fl_str_mv Higher education
Unemployment propensity
Fractional models
topic Higher education
Unemployment propensity
Fractional models
description We evaluate the information content of admission conditions for study programs’ quality by investigating its relationship with graduates’ employability. We find that study programs with larger numeri clausi are associated with a higher probability of finding a job. Additionally, compulsory admission exams seem to be informative about study programs’ quality. Namely, study programs requiring the Math exam appear to be linked with lower unemployment propensity. Cardoso et al. (2008), however, found that those programs face lower demand when compared to other studies. These paradoxical results suggest that students’ choices may be based on insufficient information on returns to higher education investment. That information failure indicates that a Government intervention may be due.
publishDate 2008
dc.date.none.fl_str_mv 2008
2008-01-01T00:00:00Z
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dc.type.driver.fl_str_mv info:eu-repo/semantics/article
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dc.identifier.uri.fl_str_mv http://hdl.handle.net/1822/7877
url http://hdl.handle.net/1822/7877
dc.language.iso.fl_str_mv eng
language eng
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dc.publisher.none.fl_str_mv Universidade do Minho. Núcleo de Investigação em Políticas Económicas (NIPE)
publisher.none.fl_str_mv Universidade do Minho. Núcleo de Investigação em Políticas Económicas (NIPE)
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