Determinants of tourist expenditure as a network: empirical findings from Uruguay
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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.
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Abbruzzo A; Brida JG; Scuderi R (2013)Past literature investigating the determinants of tourist expenditure have made a wide use of econometric models to assess conditional relationships of a set of regressors in predicting individual spending. However such ...
Brida, JG; Fasone, V; Scuderi, R; Zapata-Aguirre, S (IP Publishing, 2014)Passengers disembarking from cruise ships at ports of call have significant economic effects on the host destination. This paper studies the determinants of cruise passengers' spending while visiting two ports in Uruguay. ...
Brida, JG; Scuderi, R (2013)This paper presents a comprehensive review of the econometric approaches for the analysis of tourism expenditure at the individual level. Considering only regression models is a novel step in literature. The paper reviews ...