Identificador persistente para citar o vincular este elemento: http://hdl.handle.net/10553/113188
Título: Skewed binary regression to study rental cars by tourists in the Canary Islands
Autores/as: Dávila Cárdenes, María Nancy 
Pérez Sánchez, José María 
Gómez Déniz, Emilio 
Boza Chirino, José 
Clasificación UNESCO: 531290 Economía sectorial: turismo
Palabras clave: Asymmetric link
Bayesian estimation
Car renting
Logistic regression
Models selection
Fecha de publicación: 2021
Proyectos: Aportaciones A la Toma de Decisiones Bayesianas Óptimas: Aplicaciones Al Coste-Efectividad Con Datos Clínicos y Al Análisis de Riestos Con Datos Acturiales. 
Ministerio de Economía, Industria y Competitividad, ( ECO2017-85577-P)
Publicación seriada: Journal Of Risk And Financial Management 
Resumen: Tourism is one of the economic sectors that contributes the most to the gross domestic product in many countries, moving, in turn, other economic sectors such as transport. In particular, the automotive industry constitutes an economic subsector that moves vast amounts of money. Concerning tourism and transport sectors, car rental is a crucial element contributing considerably to gross domestic product and job creation. Due to the effects that vehicle rental seems to have on various economic sectors, it seems interesting to know why a tourist chooses to rent a car during their vacation in a specific destination. This work aims to study those factors that can be considered relevant and affect the probability of renting a vehicle. The document addressed the following research topics: (a) identifying significant variables; and (b) can information on these factors help car rental firms? Empirically, it is shown that more tourists do not rent a car and this fact has to be considered. Thus, the classical logistic and Bayesian regression models do not seem adequate in this case, so that the authors will consider an asymmetric logistic regression model. This work analyzes 28,235 tourists who visited the Canary Islands during 2017. From a Bayesian point of view, asymmetric logistics regression is chosen as the best model because it detects relevant development factors not seen by standard logistic regressions. In light of the document's findings, various practice recommendations improve decision-making in this field. The asymmetric logit link is a helpful device that can help rental companies make decisions about their clients.
URI: http://hdl.handle.net/10553/113188
ISSN: 1911-8066
DOI: 10.3390/jrfm14110541
Fuente: Journal Of Risk And Financial Management [ISSN 1911-8066], v. 14(11), 541, (Noviembre 2021)
Colección:Artículos
Adobe PDF (900,13 kB)
Vista completa

Visitas

79
actualizado el 27-abr-2024

Descargas

58
actualizado el 27-abr-2024

Google ScholarTM

Verifica

Altmetric


Comparte



Exporta metadatos



Los elementos en ULPGC accedaCRIS están protegidos por derechos de autor con todos los derechos reservados, a menos que se indique lo contrario.