Measuring gender disparities in unemployment dynamics during the recession : evidence from Portugal
Autor(a) principal: | |
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Data de Publicação: | 2019 |
Outros Autores: | |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10400.5/17745 |
Resumo: | We research gender differences in unemployment incidence and persistence during the debt crisis in Portugal. A dynamic random effects probit model is estimated to control for unobserved individual heterogeneity and for the ‘initial conditions’ problem. The estimation uses data from four waves of the Survey on Income and Living Conditions (ICOR) between 2010 and 2013. We find strong evidence of persistence in unemployment, and an indication that men are more prone to endure the negative implications of previous unemployment. Simultaneously, we found evidence of higher probabilities of unemployment for women through a fixed effect that aimed to capture gender discrimination in an unstable labour market. Results suggest that policies to boost employment should accommodate a gender dimension and also have a special focus on the long-term unemployed. |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Measuring gender disparities in unemployment dynamics during the recession : evidence from PortugalUnemploymentPersistenceUnobserved HeterogeneityDynamic Random Effects ModelsGender DiscriminationWe research gender differences in unemployment incidence and persistence during the debt crisis in Portugal. A dynamic random effects probit model is estimated to control for unobserved individual heterogeneity and for the ‘initial conditions’ problem. The estimation uses data from four waves of the Survey on Income and Living Conditions (ICOR) between 2010 and 2013. We find strong evidence of persistence in unemployment, and an indication that men are more prone to endure the negative implications of previous unemployment. Simultaneously, we found evidence of higher probabilities of unemployment for women through a fixed effect that aimed to capture gender discrimination in an unstable labour market. Results suggest that policies to boost employment should accommodate a gender dimension and also have a special focus on the long-term unemployed.ISEG - REM - Research in Economics and MathematicsRepositório da Universidade de LisboaPassinhas, JoanaProença, Isabel2019-04-23T09:30:40Z2019-042019-04-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.5/17745engPassinhas, Joana e Isabel Proença (2019). "Measuring gender disparities in unemployment dynamics during the recession : evidence from Portugal". Instituto Superior de Economia e Gestão – REM Working paper nº 079/ 20192184-108Xinfo: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:RCAAP2023-03-06T14:47:24Zoai:www.repository.utl.pt:10400.5/17745Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T17:02:55.456650Repositório 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 |
Measuring gender disparities in unemployment dynamics during the recession : evidence from Portugal |
title |
Measuring gender disparities in unemployment dynamics during the recession : evidence from Portugal |
spellingShingle |
Measuring gender disparities in unemployment dynamics during the recession : evidence from Portugal Passinhas, Joana Unemployment Persistence Unobserved Heterogeneity Dynamic Random Effects Models Gender Discrimination |
title_short |
Measuring gender disparities in unemployment dynamics during the recession : evidence from Portugal |
title_full |
Measuring gender disparities in unemployment dynamics during the recession : evidence from Portugal |
title_fullStr |
Measuring gender disparities in unemployment dynamics during the recession : evidence from Portugal |
title_full_unstemmed |
Measuring gender disparities in unemployment dynamics during the recession : evidence from Portugal |
title_sort |
Measuring gender disparities in unemployment dynamics during the recession : evidence from Portugal |
author |
Passinhas, Joana |
author_facet |
Passinhas, Joana Proença, Isabel |
author_role |
author |
author2 |
Proença, Isabel |
author2_role |
author |
dc.contributor.none.fl_str_mv |
Repositório da Universidade de Lisboa |
dc.contributor.author.fl_str_mv |
Passinhas, Joana Proença, Isabel |
dc.subject.por.fl_str_mv |
Unemployment Persistence Unobserved Heterogeneity Dynamic Random Effects Models Gender Discrimination |
topic |
Unemployment Persistence Unobserved Heterogeneity Dynamic Random Effects Models Gender Discrimination |
description |
We research gender differences in unemployment incidence and persistence during the debt crisis in Portugal. A dynamic random effects probit model is estimated to control for unobserved individual heterogeneity and for the ‘initial conditions’ problem. The estimation uses data from four waves of the Survey on Income and Living Conditions (ICOR) between 2010 and 2013. We find strong evidence of persistence in unemployment, and an indication that men are more prone to endure the negative implications of previous unemployment. Simultaneously, we found evidence of higher probabilities of unemployment for women through a fixed effect that aimed to capture gender discrimination in an unstable labour market. Results suggest that policies to boost employment should accommodate a gender dimension and also have a special focus on the long-term unemployed. |
publishDate |
2019 |
dc.date.none.fl_str_mv |
2019-04-23T09:30:40Z 2019-04 2019-04-01T00:00:00Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10400.5/17745 |
url |
http://hdl.handle.net/10400.5/17745 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Passinhas, Joana e Isabel Proença (2019). "Measuring gender disparities in unemployment dynamics during the recession : evidence from Portugal". Instituto Superior de Economia e Gestão – REM Working paper nº 079/ 2019 2184-108X |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
ISEG - REM - Research in Economics and Mathematics |
publisher.none.fl_str_mv |
ISEG - REM - Research in Economics and Mathematics |
dc.source.none.fl_str_mv |
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
instname_str |
Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
instacron_str |
RCAAP |
institution |
RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
collection |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository.name.fl_str_mv |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
repository.mail.fl_str_mv |
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1799131119600271360 |