Please use this identifier to cite or link to this item:
http://hdl.handle.net/10553/127678
DC Field | Value | Language |
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dc.contributor.author | Pérez Rodríguez, Jorge Vicente | en_US |
dc.contributor.author | Suárez Vega, Rafael Ricardo | en_US |
dc.date.accessioned | 2023-11-15T15:31:19Z | - |
dc.date.available | 2023-11-15T15:31:19Z | - |
dc.date.issued | 2024 | en_US |
dc.identifier.issn | 0377-7332 | en_US |
dc.identifier.uri | http://hdl.handle.net/10553/127678 | - |
dc.description.abstract | In 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.language | eng | en_US |
dc.relation.ispartof | Empirical Economics | en_US |
dc.source | Empirical Economics [ISSN 0377-7332, EISSN 1435-8921], v. 66, p. 2249–2275, (2024) | en_US |
dc.subject | 5304 Actividad económica | en_US |
dc.subject.other | Demand modelling | en_US |
dc.subject.other | Peer-to-peer accommodation | en_US |
dc.subject.other | Cointegration | en_US |
dc.subject.other | Fractionally integrated heterogeneous panel data analysis | en_US |
dc.title | Is peer-to-peer demand cointegrated at the listing level? | en_US |
dc.type | info:eu-repo/semantics/article | en_US |
dc.type | Article | en_US |
dc.identifier.doi | 10.1007/s00181-023-02522-7 | en_US |
dc.description.lastpage | 2275 | en_US |
dc.description.firstpage | 2249 | en_US |
dc.relation.volume | 66 | en_US |
dc.investigacion | Ciencias Sociales y Jurídicas | en_US |
dc.type2 | Artículo | en_US |
dc.description.numberofpages | 27 | en_US |
dc.utils.revision | Sí | en_US |
dc.date.coverdate | Noviembre 2023 | en_US |
dc.identifier.ulpgc | Sí | en_US |
dc.contributor.buulpgc | BU-ECO | en_US |
dc.description.sjr | 0,704 | |
dc.description.jcr | 3,2 | |
dc.description.sjrq | Q1 | |
dc.description.jcrq | Q2 | |
dc.description.ssci | SSCI | |
dc.description.miaricds | 11,0 | |
item.grantfulltext | open | - |
item.fulltext | Con texto completo | - |
crisitem.author.dept | GIR Finanzas Cuantitativas y Computacionales | - |
crisitem.author.dept | Departamento de Métodos Cuantitativos en Economía y Gestión | - |
crisitem.author.dept | GIR TIDES- Técnicas estadísticas bayesianas y de decisión en la economía y empresa | - |
crisitem.author.dept | IU de Turismo y Desarrollo Económico Sostenible | - |
crisitem.author.dept | Departamento de Métodos Cuantitativos en Economía y Gestión | - |
crisitem.author.orcid | 0000-0002-6738-9191 | - |
crisitem.author.orcid | 0000-0002-1926-3121 | - |
crisitem.author.parentorg | Departamento de Métodos Cuantitativos en Economía y Gestión | - |
crisitem.author.parentorg | IU de Turismo y Desarrollo Económico Sostenible | - |
crisitem.author.fullName | Pérez Rodríguez, Jorge Vicente | - |
crisitem.author.fullName | Suárez Vega, Rafael Ricardo | - |
Appears in Collections: | Artículos |
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