Euro membership and gdp growth forecast

Detalhes bibliográficos
Autor(a) principal: Saborit, Luis Barrachina
Data de Publicação: 2021
Tipo de documento: Dissertação
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10362/156873
Resumo: A simple panel data growth regression is estimated in order to determine if euro area membership permits GDP growth and if it promotes conditional convergence. Furthermore, the model is also used to determine if a high level of government expenditure helps to further growth. The study is carried out with a sample of OECD and European economies, conditional on a number of control variables and tested in different scenarios. Results show us that the euro area membership does not help forecast growth in any scenario except when restricted for non-founding members.
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spelling Euro membership and gdp growth forecastEcononomic growthEurozoneEuro AreaPanel dataFixed effectsConvergenceDomínio/Área Científica::Ciências Sociais::Economia e GestãoA simple panel data growth regression is estimated in order to determine if euro area membership permits GDP growth and if it promotes conditional convergence. Furthermore, the model is also used to determine if a high level of government expenditure helps to further growth. The study is carried out with a sample of OECD and European economies, conditional on a number of control variables and tested in different scenarios. Results show us that the euro area membership does not help forecast growth in any scenario except when restricted for non-founding members.Freitas, Miguel Lebre deRUNSaborit, Luis Barrachina2023-08-25T16:08:40Z2022-01-132021-12-172022-01-13T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10362/156873TID:202974995enginfo: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:RCAAP2024-03-11T05:39:12Zoai:run.unl.pt:10362/156873Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:56:29.612116Repositório 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 Euro membership and gdp growth forecast
title Euro membership and gdp growth forecast
spellingShingle Euro membership and gdp growth forecast
Saborit, Luis Barrachina
Econonomic growth
Eurozone
Euro Area
Panel data
Fixed effects
Convergence
Domínio/Área Científica::Ciências Sociais::Economia e Gestão
title_short Euro membership and gdp growth forecast
title_full Euro membership and gdp growth forecast
title_fullStr Euro membership and gdp growth forecast
title_full_unstemmed Euro membership and gdp growth forecast
title_sort Euro membership and gdp growth forecast
author Saborit, Luis Barrachina
author_facet Saborit, Luis Barrachina
author_role author
dc.contributor.none.fl_str_mv Freitas, Miguel Lebre de
RUN
dc.contributor.author.fl_str_mv Saborit, Luis Barrachina
dc.subject.por.fl_str_mv Econonomic growth
Eurozone
Euro Area
Panel data
Fixed effects
Convergence
Domínio/Área Científica::Ciências Sociais::Economia e Gestão
topic Econonomic growth
Eurozone
Euro Area
Panel data
Fixed effects
Convergence
Domínio/Área Científica::Ciências Sociais::Economia e Gestão
description A simple panel data growth regression is estimated in order to determine if euro area membership permits GDP growth and if it promotes conditional convergence. Furthermore, the model is also used to determine if a high level of government expenditure helps to further growth. The study is carried out with a sample of OECD and European economies, conditional on a number of control variables and tested in different scenarios. Results show us that the euro area membership does not help forecast growth in any scenario except when restricted for non-founding members.
publishDate 2021
dc.date.none.fl_str_mv 2021-12-17
2022-01-13
2022-01-13T00:00:00Z
2023-08-25T16:08:40Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/masterThesis
format masterThesis
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10362/156873
TID:202974995
url http://hdl.handle.net/10362/156873
identifier_str_mv TID:202974995
dc.language.iso.fl_str_mv eng
language eng
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.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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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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