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Portuguese tourism demand:a dynamic panel data analysis

dc.contributor.authorLeitão, Nuno Carlos
dc.date.accessioned2018-02-19T11:53:20Z
dc.date.available2018-02-19T11:53:20Z
dc.date.issued2015
dc.description.abstractThis article considers the determinants of Portuguese tourism demand for the period 2004-2013. The econometric methodology uses a panel unit root test and the dynamic panel data (GMM-system estimator). The different techniques of panel unit root (Levin, Lin and Chu; Im, Pesaran and Shin W-stat and augmented Dickey-Fuller - Fisher Chi-square) show that the variables used in this panel are stationary. The dynamic model proves that tourism demand is a dynamic process. The variables relative prices, income per capita, human capital and government spending encourage international tourism demand for Portugal.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationLeitão, N. (2015). Portuguese tourism demand : a dynamic panel data analysis. International Journal of Economics and Financial Issues, 5 (3), 673-677.pt_PT
dc.identifier.issn2146-4138
dc.identifier.urihttp://hdl.handle.net/10400.15/2125
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherEconJournalspt_PT
dc.relation.publisherversionhttp://www.econjournals.com/index.php/ijefi/article/view/1285/pdfpt_PT
dc.subjectTourism demandpt_PT
dc.subjectDynamic panel datapt_PT
dc.subjectPanel unit root testpt_PT
dc.subjectPortugalpt_PT
dc.titlePortuguese tourism demand:a dynamic panel data analysispt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.citation.conferencePlaceMersin, Turkeypt_PT
oaire.citation.endPage677pt_PT
oaire.citation.issue3pt_PT
oaire.citation.startPage673pt_PT
oaire.citation.titleInternational Journal of Economics and Financial Issuespt_PT
oaire.citation.volume5pt_PT
person.familyNameLeitão
person.givenNameNuno Carlos
person.identifier.orcid0000-0002-7602-2615
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublication59b3a478-abed-4851-a925-fe8d133213c5
relation.isAuthorOfPublication.latestForDiscovery59b3a478-abed-4851-a925-fe8d133213c5

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