Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/118818
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dc.contributor.authorGómez Déniz, Emilioen_US
dc.contributor.authorPérez Rodríguez, Jorge Vicenteen_US
dc.contributor.authorHernández Guerra, Juan Maríaen_US
dc.date.accessioned2022-10-13T08:34:59Z-
dc.date.available2022-10-13T08:34:59Z-
dc.date.issued2022en_US
dc.identifier.issn1354-8166en_US
dc.identifier.otherScopus-
dc.identifier.urihttp://hdl.handle.net/10553/118818-
dc.description.abstractThis paper analyses the determinants of tourist length of stay in sharing accommodation. Methodologically, the paper proposes a new approach to account for the observed bimodality of length of stay. More specifically, the determinants of length of stay are analyzed by modeling both the conditional mean and conditional modal frequencies, which represent shorter and longer tourist stays, unlike previous contributions on length of stay where modeling has been based exclusively on the conditional mean. The empirical analysis examines the length of stay in sharing accommodation lodgings (Airbnb and Homeaway) of tourists visiting the Canary Islands (Spain) before and after the outbreak of the COVID-19 pandemic. The results show a bimodal distribution of length of stay: 1 and 7 nights in the pre-pandemic period, reduced to 1 and 2 nights in the pandemic period. The results also indicate that the model approach followed in this paper is preferable to other previous bimodality models in terms of estimation simplicity and fit. In addition, the model allows an analysis of the determinants of length of stay and differentiation of the influence of each determinant on shorter and longer stays.en_US
dc.languageengen_US
dc.relation.ispartofTourism Economicsen_US
dc.sourceTourism Economics[ISSN 1354-8166], (Enero 2022)en_US
dc.subject531290 Economía sectorial: turismoen_US
dc.subject530204 Estadística económicaen_US
dc.subject.otherBimodalityen_US
dc.subject.otherCovid-19en_US
dc.subject.otherDouble-Inflated Modelen_US
dc.subject.otherLength Of Stayen_US
dc.subject.otherSharing Accommodationen_US
dc.subject.otherShifted Distributionen_US
dc.titleBimodal length of stay in the accommodation sharing economyen_US
dc.typeinfo:eu-repo/semantics/Articleen_US
dc.typeArticleen_US
dc.identifier.doi10.1177/13548166221123232en_US
dc.identifier.scopus85138255024-
dc.contributor.orcid0000-0002-5072-7908-
dc.contributor.orcid0000-0002-6738-9191-
dc.contributor.orcid0000-0001-6897-5179-
dc.contributor.authorscopusid57222422694-
dc.contributor.authorscopusid57895144000-
dc.contributor.authorscopusid7403026151-
dc.investigacionCiencias Sociales y Jurídicasen_US
dc.type2Artículoen_US
dc.utils.revisionen_US
dc.date.coverdateEnero 2022en_US
dc.identifier.ulpgcen_US
dc.contributor.buulpgcBU-ECOen_US
dc.description.sjr1,035
dc.description.jcr4,438
dc.description.sjrqQ1
dc.description.jcrqQ1
item.fulltextSin texto completo-
item.grantfulltextnone-
crisitem.author.deptGIR Técnicas estadísticas bayesianas y de decisión en la economía y empresa-
crisitem.author.deptIU de Turismo y Desarrollo Económico Sostenible-
crisitem.author.deptDepartamento de Métodos Cuantitativos en Economía y Gestión-
crisitem.author.deptGIR Finanzas Cuantitativas y Computacionales-
crisitem.author.deptDepartamento de Métodos Cuantitativos en Economía y Gestión-
crisitem.author.deptGIR TIDES: Economía, medioambiente, sostenibilidad y turismo-
crisitem.author.deptIU de Turismo y Desarrollo Económico Sostenible-
crisitem.author.deptDepartamento de Métodos Cuantitativos en Economía y Gestión-
crisitem.author.orcid0000-0002-5072-7908-
crisitem.author.orcid0000-0002-6738-9191-
crisitem.author.orcid0000-0001-6897-5179-
crisitem.author.parentorgIU de Turismo y Desarrollo Económico Sostenible-
crisitem.author.parentorgDepartamento de Métodos Cuantitativos en Economía y Gestión-
crisitem.author.parentorgIU de Turismo y Desarrollo Económico Sostenible-
crisitem.author.fullNameGómez Déniz, Emilio-
crisitem.author.fullNamePérez Rodríguez, Jorge Vicente-
crisitem.author.fullNameHernández Guerra, Juan María-
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