Identificador persistente para citar o vincular este elemento: http://hdl.handle.net/10553/55443
Título: Modelling tourist expenditure at origin and destination
Autores/as: Gómez Déniz, Emilio 
Pérez Rodríguez, Jorge Vicente 
Boza Chirino, Jose 
Clasificación UNESCO: 531290 Economía sectorial: turismo
Palabras clave: Beta regression
Expenditure at origin and at destination
Growth rates
Tourist budget share
Fecha de publicación: 2020
Proyectos: Nuevos Desarrollos en Métodos Cuantitativos Bayesianos. Aplicaciónes en Evaluación Económica de Tratamientos Mediante Meta-Análisis y Medición de Riesgos Con Datos Actuariales 
Aportaciones A la Toma de Decisiones Bayesianas Óptimas: Aplicaciones Al Coste-Efectividad Con Datos Clínicos y Al Análisis de Riestos Con Datos Acturiales. 
Publicación seriada: Tourism Economics 
Resumen: This article proposes a model of foreign tourist expenditure, based on expenditure in the country of origin (i.e. reservation of accommodation and transport) and on goods and services at the destination. The study focuses on two measures reflecting the two types of expenditure: the tourist budget share and the difference in growth rates between expenditure at origin and at destination. The random nature of each of these variables is taken into account. The tourist budget share is determined using a fractional response model, based on the beta distribution. This approach allows us to accommodate certain aspects of the empirical budget share distribution, such as skewness, and to represent the results as bounded between 0 and 1, but also to include covariates. The empirical analysis was conducted using data obtained by the Canary Islands Tourist Expenditure Survey, focusing on German and British tourists in particular. The results obtained show that the fractional regression model proposed represents the behaviour of the relevant variables reasonably well and surpasses the performance of the linear regression model.
URI: http://hdl.handle.net/10553/55443
ISSN: 1354-8166
DOI: 10.1177/1354816619840845
Fuente: Tourism Economics[ISSN 1354-8166],v. 26 (3), p. 437-460, (Mayo 2020)
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