Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/73301
Title: Modelling dependence between daily tourist expenditure and length of stay
Authors: Gómez Déniz, Emilio 
Pérez Rodríguez, Jorge Vicente 
UNESCO Clasification: 531290 Economía sectorial: turismo
Keywords: Bivariate Distributions
Copula
Farlie–Gumbel–Morgenstern
Tourism
Issue Date: 2020
Journal: Tourism Economics 
Abstract: In this article, tourists’ choice of the number of stays (length of stay, a discrete variable) and daily expenditure (a continuous variable) is modelled relaxing the linearity assumption and employing a structural form. A bivariate copula distribution, specified in terms of the marginal distributions of daily tourist expenditure and length of stay, is used to model and test dependence. We propose the Farlie–Gumbel–Morgenstern family of distributions, which provides a powerful tool to build a bivariate distribution with a flexible covariance structure and weak dependence. In addition, covariates can be introduced to study the factors that affect both variables simultaneously. Using Canary Islands Tourist Expenditure Survey data, the estimation results obtained indicate a negative correlation and weak dependence structure between the number of nights’ stay and the daily expenditure. The signs of the coefficients of the socio-economic variables and of the vacation characteristics are generally in line with the findings of empirical literature.
URI: http://hdl.handle.net/10553/73301
ISSN: 1354-8166
DOI: 10.1177/1354816620925192
Source: Tourism Economics[ISSN 1354-8166], (Enero 2020)
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