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Determinants of Individual Tourist Expenditure as a Network: Empirical Findings from Uruguay


  • Antonio Abbruzzo

    (DSEAS, University of Palermo)

  • Juan Gabriel Brida

    () (School of Economics and Management and TOMTE (Competence Centre in Tourism Management and Tourism Economics), Free University of Bozen/Bolzano)

  • Raffaele Scuderi

    () (Free University of Bolzano‐Bozen, School of Economics and Management.)


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 techniques provide little or no information about the relationships within the total set of regressors as determinants of such expenditure. This paper applies graphical models to investigate the links that occur within a set of variables derived from an official survey of Uruguayan statistics of visitor expenditures. Symmetric conditional dependence structures within socio-demographic and trip-related variables are first investigated. Then a chain graph assessment of asymmetric conditional dependencies of these two categories of variables is used to explain individual expenditure items. The output is displayed through graphs that allow for an easy interpretation of the data. The results highlight the marginal role of socio-demographic variables and the direct importance of accommodation type and destination as determinants of tourist expenditure.

Suggested Citation

  • Antonio Abbruzzo & Juan Gabriel Brida & Raffaele Scuderi, 2013. "Determinants of Individual Tourist Expenditure as a Network: Empirical Findings from Uruguay," BEMPS - Bozen Economics & Management Paper Series BEMPS09, Faculty of Economics and Management at the Free University of Bozen.
  • Handle: RePEc:bzn:wpaper:bemps09

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    References listed on IDEAS

    1. Juan Brida & Juan Pereyra & Raffaele Scuderi, 2014. "Repeat tourism in Uruguay: modelling truncated distributions of count data," Quality & Quantity: International Journal of Methodology, Springer, vol. 48(1), pages 475-491, January.
    2. repec:eee:touman:v:33:y:2012:i:6:p:1562-1573 is not listed on IDEAS
    3. repec:eee:touman:v:32:y:2011:i:1:p:46-52 is not listed on IDEAS
    4. repec:eee:touman:v:31:y:2010:i:1:p:45-56 is not listed on IDEAS
    5. Brida, Juan Gabriel & Scuderi, Raffaele, 2012. "Determinants of tourist expenditure: a review of microeconometric models," MPRA Paper 38468, University Library of Munich, Germany.
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    Cited by:

    1. repec:kap:jculte:v:41:y:2017:i:2:d:10.1007_s10824-017-9296-y is not listed on IDEAS
    2. Olya, Hossein GT & Mehran, Javaneh, 2017. "Modelling tourism expenditure using complexity theory," Journal of Business Research, Elsevier, vol. 75(C), pages 147-158.

    More about this item


    tourist expenditure; graphical model; chain graph; log-linear graphical model;

    JEL classification:

    • C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General
    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • C45 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Neural Networks and Related Topics
    • L83 - Industrial Organization - - Industry Studies: Services - - - Sports; Gambling; Restaurants; Recreation; Tourism

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