Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/127678
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dc.contributor.authorPérez Rodríguez, Jorge Vicenteen_US
dc.contributor.authorSuárez Vega, Rafael Ricardoen_US
dc.date.accessioned2023-11-15T15:31:19Z-
dc.date.available2023-11-15T15:31:19Z-
dc.date.issued2024en_US
dc.identifier.issn0377-7332en_US
dc.identifier.urihttp://hdl.handle.net/10553/127678-
dc.description.abstractIn this paper, we analyse the long-run equilibrium demand of the peer-to-peer sharing economy. Our panel data demand model relates occupancy rates to relative prices of Airbnb and HomeAway listings, prices of competitors (hotels and apartments) and a proxy for income of tourists visiting the Canary Islands (Spain). We use a fractional heterogeneous panel datamodel which allows for a more general persistence and cointegration relationship and incorporates individual and interactive fixed effects.We find some evidence for (fractional) cointegration in P2P at the listing level. Regarding elasticities, classic cointegration methods give larger estimates for individual slopes and mean group coefficients than the fractional integrated heterogeneous model. Finally, own-price elasticities are inelastic, and the cross-price elasticity indicates that P2P listings and hotels are substitute goods. Income elasticity is lower than 1 and is not statistically significant, indicating that the demand for tourism in the Canary Islands is not sensitive to the economic conditions in the origin countries.en_US
dc.languageengen_US
dc.relation.ispartofEmpirical Economicsen_US
dc.sourceEmpirical Economics [ISSN 0377-7332, EISSN 1435-8921], v. 66, p. 2249–2275, (2024)en_US
dc.subject5304 Actividad económicaen_US
dc.subject.otherDemand modellingen_US
dc.subject.otherPeer-to-peer accommodationen_US
dc.subject.otherCointegrationen_US
dc.subject.otherFractionally integrated heterogeneous panel data analysisen_US
dc.titleIs peer-to-peer demand cointegrated at the listing level?en_US
dc.typeinfo:eu-repo/semantics/articleen_US
dc.typeArticleen_US
dc.identifier.doi10.1007/s00181-023-02522-7en_US
dc.description.lastpage2275en_US
dc.description.firstpage2249en_US
dc.relation.volume66en_US
dc.investigacionCiencias Sociales y Jurídicasen_US
dc.type2Artículoen_US
dc.description.numberofpages27en_US
dc.utils.revisionen_US
dc.date.coverdateNoviembre 2023en_US
dc.identifier.ulpgcen_US
dc.contributor.buulpgcBU-ECOen_US
dc.description.sjr0,704
dc.description.jcr3,2
dc.description.sjrqQ1
dc.description.jcrqQ2
dc.description.ssciSSCI
dc.description.miaricds11,0
item.grantfulltextopen-
item.fulltextCon texto completo-
crisitem.author.deptGIR Finanzas Cuantitativas y Computacionales-
crisitem.author.deptDepartamento de Métodos Cuantitativos en Economía y Gestión-
crisitem.author.deptGIR TIDES- 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.orcid0000-0002-6738-9191-
crisitem.author.orcid0000-0002-1926-3121-
crisitem.author.parentorgDepartamento de Métodos Cuantitativos en Economía y Gestión-
crisitem.author.parentorgIU de Turismo y Desarrollo Económico Sostenible-
crisitem.author.fullNamePérez Rodríguez, Jorge Vicente-
crisitem.author.fullNameSuárez Vega, Rafael Ricardo-
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