Pay and unemployment determinants of migration flows in the European Union
Autor(a) principal: | |
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Data de Publicação: | 2022 |
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/10400.5/26420 |
Resumo: | We analyze the migration drivers within the European Union countries. For a set of 23 EU countries over the 1995-2019 period, we use Bayesian Model Averaging and quantile regression to assess notably the relevance of unemployment and earnings. We find that the existence of a common border increases the number of net migrants by 172 people per 1000 inhabitants. In addition, 1000 PPP Euro increase in the difference in net annual salaries increases net migration by approximately 50 and 42 people per 1000 inhabitants in a working age of both countries under uniform and binomial-beta model prior, respectively. Moreover, one percentage point increase in the difference in the unemployment rate is associated with an increase in net immigration by approximately 6 and 3 persons by 1000 inhabitants in both countries. These results are also corroborated with the quantile regression results. Hence, human capital inside the EU is moving in search of higher cross-country earnings |
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Pay and unemployment determinants of migration flows in the European UnionMigration flowsEarningsUnemploymentBayesian Model AveragingQuantile regressionEUWe analyze the migration drivers within the European Union countries. For a set of 23 EU countries over the 1995-2019 period, we use Bayesian Model Averaging and quantile regression to assess notably the relevance of unemployment and earnings. We find that the existence of a common border increases the number of net migrants by 172 people per 1000 inhabitants. In addition, 1000 PPP Euro increase in the difference in net annual salaries increases net migration by approximately 50 and 42 people per 1000 inhabitants in a working age of both countries under uniform and binomial-beta model prior, respectively. Moreover, one percentage point increase in the difference in the unemployment rate is associated with an increase in net immigration by approximately 6 and 3 persons by 1000 inhabitants in both countries. These results are also corroborated with the quantile regression results. Hence, human capital inside the EU is moving in search of higher cross-country earningsISEG - REM - Research in Economics and MathematicsRepositório da Universidade de LisboaAfonso, AntónioAlves, JoséBeck, Krzysztof2022-12-12T10:28:16Z2022-122022-12-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.5/26420engAfonso, António, José Alves e Krzysztof Beck (2022). "Pay and unemployment determinants of migration flows in the European Union". REM Working paper series, nº 0251/20222184-108Xinfo: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:RCAAP2023-03-06T14:55:53Zoai:www.repository.utl.pt:10400.5/26420Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T17:10:04.709448Repositório 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 |
Pay and unemployment determinants of migration flows in the European Union |
title |
Pay and unemployment determinants of migration flows in the European Union |
spellingShingle |
Pay and unemployment determinants of migration flows in the European Union Afonso, António Migration flows Earnings Unemployment Bayesian Model Averaging Quantile regression EU |
title_short |
Pay and unemployment determinants of migration flows in the European Union |
title_full |
Pay and unemployment determinants of migration flows in the European Union |
title_fullStr |
Pay and unemployment determinants of migration flows in the European Union |
title_full_unstemmed |
Pay and unemployment determinants of migration flows in the European Union |
title_sort |
Pay and unemployment determinants of migration flows in the European Union |
author |
Afonso, António |
author_facet |
Afonso, António Alves, José Beck, Krzysztof |
author_role |
author |
author2 |
Alves, José Beck, Krzysztof |
author2_role |
author author |
dc.contributor.none.fl_str_mv |
Repositório da Universidade de Lisboa |
dc.contributor.author.fl_str_mv |
Afonso, António Alves, José Beck, Krzysztof |
dc.subject.por.fl_str_mv |
Migration flows Earnings Unemployment Bayesian Model Averaging Quantile regression EU |
topic |
Migration flows Earnings Unemployment Bayesian Model Averaging Quantile regression EU |
description |
We analyze the migration drivers within the European Union countries. For a set of 23 EU countries over the 1995-2019 period, we use Bayesian Model Averaging and quantile regression to assess notably the relevance of unemployment and earnings. We find that the existence of a common border increases the number of net migrants by 172 people per 1000 inhabitants. In addition, 1000 PPP Euro increase in the difference in net annual salaries increases net migration by approximately 50 and 42 people per 1000 inhabitants in a working age of both countries under uniform and binomial-beta model prior, respectively. Moreover, one percentage point increase in the difference in the unemployment rate is associated with an increase in net immigration by approximately 6 and 3 persons by 1000 inhabitants in both countries. These results are also corroborated with the quantile regression results. Hence, human capital inside the EU is moving in search of higher cross-country earnings |
publishDate |
2022 |
dc.date.none.fl_str_mv |
2022-12-12T10:28:16Z 2022-12 2022-12-01T00:00:00Z |
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/10400.5/26420 |
url |
http://hdl.handle.net/10400.5/26420 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Afonso, António, José Alves e Krzysztof Beck (2022). "Pay and unemployment determinants of migration flows in the European Union". REM Working paper series, nº 0251/2022 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 |
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RCAAP |
institution |
RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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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 |
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1799131197136175104 |