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Modelling tourism demand: a comparative study between artificial neural networks and the Box-Jenkins methodology

dc.contributor.authorFernandes, Paula Odete
dc.contributor.authorTeixeira, João Paulo
dc.contributor.authorFerreira, João José
dc.contributor.authorAzevedo, Susana Garrido
dc.date.accessioned2009-02-06T14:52:05Z
dc.date.available2009-02-06T14:52:05Z
dc.date.issued2008
dc.description.abstractThis study seeks to investigate and highlight the usefulness of the Artificial Neural Networks (ANN) methodology as an alternative to the Box-Jenkins methodology in analysing tourism demand. To this end, each of the above-mentioned methodologies is centred on the treatment, analysis and modelling of the tourism time series: “Nights Spent in Hotel Accommodation per Month”, recorded in the period from January 1987 to December 2006, since this is one of the variables that best expresses effective demand. The study was undertaken for the North and Centre regions of Portugal. The results showed that the model produced by using the ANN methodology presented satisfactory statistical and adjustment qualities, suggesting that it is suitable for modelling and forecasting the reference series, when compared with the model produced by using the Box-Jenkins methodology.en
dc.identifier.citationFernandes, Paula O.; Teixeira, João Paulo; Ferreira, João José; Azevedo, Susana Garrido (2008). Modelling tourism demand: a comparative study between artificial neural networks and the Box-Jenkins methodology. Romanian Journal of Economic Forecasting. ISSN 1582-6163. 9:3 p.30-50en
dc.identifier.issn1582-6163
dc.identifier.urihttp://hdl.handle.net/10198/1042
dc.language.isoengen
dc.publisherThe Institute for Economic Forecastingen
dc.subjectArtificial neural networksen
dc.subjectARIMA modelsen
dc.subjectTime series forecastingen
dc.titleModelling tourism demand: a comparative study between artificial neural networks and the Box-Jenkins methodologyen
dc.typejournal article
dspace.entity.typePublication
person.familyNameFernandes
person.familyNameTeixeira
person.givenNamePaula Odete
person.givenNameJoão Paulo
person.identifierN-3804-2013
person.identifier663194
person.identifier.ciencia-id991D-9D1E-D67D
person.identifier.ciencia-id4F15-B322-59B4
person.identifier.orcid0000-0001-8714-4901
person.identifier.orcid0000-0002-6679-5702
person.identifier.ridN-6576-2013
person.identifier.scopus-author-id35200741800
person.identifier.scopus-author-id57069567500
rcaap.rightsopenAccess
rcaap.typearticleen
relation.isAuthorOfPublication2269147c-2b53-4d1c-bc1b-f1367d197262
relation.isAuthorOfPublication33f4af65-7ddf-46f0-8b44-a7470a8ba2bf
relation.isAuthorOfPublication.latestForDiscovery33f4af65-7ddf-46f0-8b44-a7470a8ba2bf

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