Significance bias in the tourism-led growth literature
Autor(a) principal: | |
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Data de Publicação: | 2020 |
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/20.500.11960/2835 |
Resumo: | We use an original meta-regression analysis to test the existence of bias of statistical significance in the literature on the study of Granger causality relationships between tourism and income. We conclude for the presence of such bias. We also conclude that some methodological choices are more likely to lead to statistically significant results. Additionally, we find that the empirical association between tourism and income is stronger the shorter the time horizon analyzed and that it is correlated with the countries' economic, touristic and demographic profile. Altogether, our results suggest that there are reasons to mistrust the typical methodological approach followed by the literature reviewed and cast doubt on its usual implications for economic policy. |
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Significance bias in the tourism-led growth literatureGranger causalityMeta-regressionPublication biasTourism-led growthWe use an original meta-regression analysis to test the existence of bias of statistical significance in the literature on the study of Granger causality relationships between tourism and income. We conclude for the presence of such bias. We also conclude that some methodological choices are more likely to lead to statistically significant results. Additionally, we find that the empirical association between tourism and income is stronger the shorter the time horizon analyzed and that it is correlated with the countries' economic, touristic and demographic profile. Altogether, our results suggest that there are reasons to mistrust the typical methodological approach followed by the literature reviewed and cast doubt on its usual implications for economic policy.Sage2022-11-18T14:07:46Z2020-02-05T00:00:00Z2020-02-052022-11-17T09:52:21Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/20.500.11960/2835eng1354-816610.1177/1354816619833564Fonseca, NinoSánchez-Rivero, Marcelinoinfo: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:RCAAP2024-04-11T08:10:43Zoai:repositorio.ipvc.pt:20.500.11960/2835Portal AgregadorONGhttps://www.rcaap.pt/oai/openairemluisa.alvim@gmail.comopendoar:71602024-04-11T08:10:43Repositório 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 |
Significance bias in the tourism-led growth literature |
title |
Significance bias in the tourism-led growth literature |
spellingShingle |
Significance bias in the tourism-led growth literature Fonseca, Nino Granger causality Meta-regression Publication bias Tourism-led growth |
title_short |
Significance bias in the tourism-led growth literature |
title_full |
Significance bias in the tourism-led growth literature |
title_fullStr |
Significance bias in the tourism-led growth literature |
title_full_unstemmed |
Significance bias in the tourism-led growth literature |
title_sort |
Significance bias in the tourism-led growth literature |
author |
Fonseca, Nino |
author_facet |
Fonseca, Nino Sánchez-Rivero, Marcelino |
author_role |
author |
author2 |
Sánchez-Rivero, Marcelino |
author2_role |
author |
dc.contributor.author.fl_str_mv |
Fonseca, Nino Sánchez-Rivero, Marcelino |
dc.subject.por.fl_str_mv |
Granger causality Meta-regression Publication bias Tourism-led growth |
topic |
Granger causality Meta-regression Publication bias Tourism-led growth |
description |
We use an original meta-regression analysis to test the existence of bias of statistical significance in the literature on the study of Granger causality relationships between tourism and income. We conclude for the presence of such bias. We also conclude that some methodological choices are more likely to lead to statistically significant results. Additionally, we find that the empirical association between tourism and income is stronger the shorter the time horizon analyzed and that it is correlated with the countries' economic, touristic and demographic profile. Altogether, our results suggest that there are reasons to mistrust the typical methodological approach followed by the literature reviewed and cast doubt on its usual implications for economic policy. |
publishDate |
2020 |
dc.date.none.fl_str_mv |
2020-02-05T00:00:00Z 2020-02-05 2022-11-18T14:07:46Z 2022-11-17T09:52:21Z |
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/20.500.11960/2835 |
url |
http://hdl.handle.net/20.500.11960/2835 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
1354-8166 10.1177/1354816619833564 |
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 |
Sage |
publisher.none.fl_str_mv |
Sage |
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 |
mluisa.alvim@gmail.com |
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1817543263475728384 |