Modelling distribution of aggregate expenditure on tourism

Gómez–Déniz, Emilio; Pérez‐Rodríguez, Jorge V.

doi:10.1016/j.econmod.2018.09.027

Cited by 21 publications

(19 citation statements)

References 57 publications

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“…Moreover, Melstrom (2017), as an alternative to standard OLS and Tobit estimators, presents an exponential model of tourist expenditures estimated, and Abbruzzo et al (2014) present a scad-elastic net in the assessment of the determinants of individual tourist spending. Recently, Gómez-Déniz and Pérez-Rodríguez (2019) analyzed the distributional characteristics of aggregate tourist spending and length of stay in the Canary Islands. The method proposed enables to model both variables simultaneously by estimating two distribution models: for the length of stay of tourists and for the tourist expenses.…”

Section: Modeling the Determinants Of Tourist Expenditurementioning

confidence: 99%

A Multivariate Prediction Copula Model to Characterize the Expenditure Categories in Tourism

Brida

Lanzilotta

Moreno

et al. 2020

Journal of Hospitality & Tourism Research

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The aim of this article is to introduce a multivariate statistical model that represents the expenditure of tourists disaggregated by categories. The model is applied to study the distribution of the expenditure of cruise passengers in Uruguay, using data of the 2016-2017 cruise season survey (collected by the Ministry of Tourism). Given the mixed distribution in each component of the main variable, the model is implemented in two stages and using copulas to obtain a conditional distribution of the different items of expenditure, characterizing the dependence between them. The empirical results show that the key variables that determine the average spending of cruise tourists are their residence and the port of arrival of the cruise. The parameters representing dependence of the copula show moderate association between the different categories of expenditure, in particular for cruisers disembarking in Montevideo, the capital of Uruguay. In addition, it can be noted that the expenditure pattern in each item shows time dependence. In general, the empirical results show that a cruiser that spends more on one item is likely to spend more (less) on a complementary (noncomplementary) items of expense.

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Section: Modeling the Determinants Of Tourist Expenditurementioning

confidence: 99%

A Multivariate Prediction Copula Model to Characterize the Expenditure Categories in Tourism

Brida

Lanzilotta

Moreno

et al. 2020

Journal of Hospitality & Tourism Research

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“…For example, Leones et al (1992), Lee (2001), Zheng and Zhang (2013), Barquet et al (2011) and Kim et al (2011), among others, estimated tourism expenditure by means of the Tobit model. More recent applications include the Heckman model, by Alegre et al (2013), the double-hurdle model, by Brida et al (2013), and a subordinated process for the aggregate expenditure (continuous variable) conditional on the length of stay (discrete variable) of tourists at a given location, in the spirit of statistical mixtures (Gómez-Déniz and Pérez-Rodríguez, 2019). According to these studies, the main factors underlying expenditure are socio-economic status, nationality, age, occupation, income, length of stay, type of holiday accommodation, travel companion, destination loyalty and package type.…”

Section: Literature Reviewmentioning

confidence: 99%

“…These authors recorded a significant positive relationship between tourist spending and length of stay, which they explained as being due to the fact that high-income tourists not only present high levels of daily expenditure but also stay for longer periods. In a recent paper, Gómez-Déniz and Pérez-Rodríguez (2019) propose a model based on a positive correlation between aggregate expenditure at origin plus destination and length of stay. However, Brida and Scuderi (2012) reviewed 188 estimations and found that 98 reported a significant positive association between length of stay and expenditure.…”

Section: Empirical Analysismentioning

confidence: 99%

Modelling tourist expenditure at origin and destination

2019

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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.

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“…For example, duration is a function of expenditure (Hellström, 2006) and expenditure is determined by duration (Thrane, 2014;Pérez-Rodríguez & Ledesma-Rodríguez, 2019), among others. 1 In fact, it can be shown empirically that there is a weak positive correlation between aggregate expenditure and length of stay (Gómez-Déniz & Pérez-Rodríguez, 2019).…”

Section: Introductionmentioning

confidence: 99%

“…Our underlying theoretical model for total expenditure and length of stay has the antecedent of the recent work by Gómez-Déniz and Pérez-Rodríguez (2019) and Gómez-Déniz and Pérez-Rodríguez (2020). Gómez-Déniz and Pérez-Rodríguez (2019) proposed a univariate compound model, based on previous studies of mixed distributions, simultaneously implementing both length of stay and individual expenditure in order to determine aggregate tourist expenditure.…”

Section: Introductionmentioning

confidence: 99%

Spending and length of stay by tourists flying to the Canary Islands (Spain) using low-cost carriers

Gómez–Déniz

Pérez‐Rodríguez

2021

Appl. Spatial Analysis

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The AIM of this study is to examine and evaluate differences in expenditure and length of stay between tourists who use low-cost carriers and those who travel with full service providers. We consider the statistical dependence between these variables and propose a bivariate distribution that describes tourist expenditure (continuous variable) and length of stay (discrete variable) in terms of their conditional distributions. Covariates are included to reflect the factors that simultaneously affect both variables. In addition, an empirical analysis is made of data obtained by the Canary Islands Tourist Expenditure Survey. The results obtained show that our model achieves a reasonably good fit and that there are differences between LCC and FSC users regarding both expenditure and length of stay, in the use of nonhotel accommodation, as well as differences in expenditure in the case of repeated visits, and in the length of stay according to the visitors' age, nationality and travel party size.

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Modelling distribution of aggregate expenditure on tourism

Cited by 21 publications

References 57 publications

A Multivariate Prediction Copula Model to Characterize the Expenditure Categories in Tourism

A Multivariate Prediction Copula Model to Characterize the Expenditure Categories in Tourism

Modelling tourist expenditure at origin and destination

Spending and length of stay by tourists flying to the Canary Islands (Spain) using low-cost carriers

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