Tourism in Portugal: dynamics, persistence and impact

Detalhes bibliográficos
Autor(a) principal: Marinho, João Diogo Mendes
Data de Publicação: 2018
Tipo de documento: Dissertação
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10362/48399
Resumo: This study presents an empirical evaluation of the impact of tourism on the Portuguese economy. We use a two-step FAVAR with a ve principal component estimation to nest the e ect of tourism in other 127 macroeconomic variables. Our ndings point to some channels in which tourism can help an economy develop and recover from a crisis. The overall e ect on the variables is positive, but the most prominent dynamics concern the labour market. The variance decomposition, with an R2 ranging from 29.7% to 89.0%, is more robust in indicators such as Unemployment (14.0%) and Industrial Employment Index (18.3%). It also accounts for 3.7% of the overall Economic Sentiment Indicator, showing improvements in economic agents' expectations. Finally, the representation of tourism shocks along time backs the hypothesis of tourism helping the Portuguese economy in recovering from a nancial crisis
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spelling Tourism in Portugal: dynamics, persistence and impactTourismPortugalFAVARDynamic factor modelsMacroeconomics.This study presents an empirical evaluation of the impact of tourism on the Portuguese economy. We use a two-step FAVAR with a ve principal component estimation to nest the e ect of tourism in other 127 macroeconomic variables. Our ndings point to some channels in which tourism can help an economy develop and recover from a crisis. The overall e ect on the variables is positive, but the most prominent dynamics concern the labour market. The variance decomposition, with an R2 ranging from 29.7% to 89.0%, is more robust in indicators such as Unemployment (14.0%) and Industrial Employment Index (18.3%). It also accounts for 3.7% of the overall Economic Sentiment Indicator, showing improvements in economic agents' expectations. Finally, the representation of tourism shocks along time backs the hypothesis of tourism helping the Portuguese economy in recovering from a nancial crisisDuarte, JoãoRUNMarinho, João Diogo Mendes2018-10-08T14:33:30Z2018-06-062018-06-06T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10362/48399TID:201974614enginfo: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:RCAAP2024-03-11T04:24:53Zoai:run.unl.pt:10362/48399Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:32:08.487490Repositório 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 Tourism in Portugal: dynamics, persistence and impact
title Tourism in Portugal: dynamics, persistence and impact
spellingShingle Tourism in Portugal: dynamics, persistence and impact
Marinho, João Diogo Mendes
Tourism
Portugal
FAVAR
Dynamic factor models
Macroeconomics.
title_short Tourism in Portugal: dynamics, persistence and impact
title_full Tourism in Portugal: dynamics, persistence and impact
title_fullStr Tourism in Portugal: dynamics, persistence and impact
title_full_unstemmed Tourism in Portugal: dynamics, persistence and impact
title_sort Tourism in Portugal: dynamics, persistence and impact
author Marinho, João Diogo Mendes
author_facet Marinho, João Diogo Mendes
author_role author
dc.contributor.none.fl_str_mv Duarte, João
RUN
dc.contributor.author.fl_str_mv Marinho, João Diogo Mendes
dc.subject.por.fl_str_mv Tourism
Portugal
FAVAR
Dynamic factor models
Macroeconomics.
topic Tourism
Portugal
FAVAR
Dynamic factor models
Macroeconomics.
description This study presents an empirical evaluation of the impact of tourism on the Portuguese economy. We use a two-step FAVAR with a ve principal component estimation to nest the e ect of tourism in other 127 macroeconomic variables. Our ndings point to some channels in which tourism can help an economy develop and recover from a crisis. The overall e ect on the variables is positive, but the most prominent dynamics concern the labour market. The variance decomposition, with an R2 ranging from 29.7% to 89.0%, is more robust in indicators such as Unemployment (14.0%) and Industrial Employment Index (18.3%). It also accounts for 3.7% of the overall Economic Sentiment Indicator, showing improvements in economic agents' expectations. Finally, the representation of tourism shocks along time backs the hypothesis of tourism helping the Portuguese economy in recovering from a nancial crisis
publishDate 2018
dc.date.none.fl_str_mv 2018-10-08T14:33:30Z
2018-06-06
2018-06-06T00:00:00Z
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dc.language.iso.fl_str_mv eng
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