Determinants of individual tourist expenditure as a network: Empirical findings from Uruguay
Antonino Abbruzzo,
Juan Brida and
Raffaele Scuderi
Tourism Management, 2014, vol. 43, issue C, 36-45
Abstract:
This paper introduces the use of graphical models for assessing the determinants of individual tourist spending. These models have the advantage of synthesizing and visualizing the relationships occurring within large sets of random variables, through an easy to interpret output. To this end, individual data from a large official survey of international tourists in Uruguay are used. Symmetric conditional independence structures are first investigated. Then subgraphs of each expenditure item's neighbourhood are extracted in order to assess the impact of main effects and interactions through proportional ordinal logistic regression. Results highlight the marginal role of socio-demographic variables and direct importance of accommodation type, destination and length of stay.
Keywords: Tourist expenditure; Log-linear graphical model; Uruguay (search for similar items in EconPapers)
Date: 2014
References: Add references at CitEc
Citations: View citations in EconPapers (8)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0261517714000156
Related works:
Working Paper: Determinants of Individual Tourist Expenditure as a Network: Empirical Findings from Uruguay (2013) 
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:touman:v:43:y:2014:i:c:p:36-45
DOI: 10.1016/j.tourman.2014.01.014
Access Statistics for this article
Tourism Management is currently edited by Chris Ryan
More articles in Tourism Management from Elsevier
Bibliographic data for series maintained by Catherine Liu ().