Determinants of Individual Tourist Expenditure as a Network: Empirical Findings from Uruguay
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- Abbruzzo, Antonino & Brida, Juan Gabriel & Scuderi, Raffaele, 2014. "Determinants of individual tourist expenditure as a network: Empirical findings from Uruguay," Tourism Management, Elsevier, vol. 43(C), pages 36-45.
References listed on IDEAS
- 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.
- Brida, Juan Gabriel & Pereira, Juan Sebastián & Scuderi, Raffaele, 2012. "Repeat tourism in Uruguay: modelling truncated distributions of count data," MPRA Paper 37140, University Library of Munich, Germany.
- repec:eee:touman:v:33:y:2012:i:6:p:1562-1573 is not listed on IDEAS
- repec:eee:touman:v:32:y:2011:i:1:p:46-52 is not listed on IDEAS
- repec:eee:touman:v:31:y:2010:i:1:p:45-56 is not listed on IDEAS
- 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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- repec:kap:jculte:v:41:y:2017:i:2:d:10.1007_s10824-017-9296-y is not listed on IDEAS
- 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
Keywordstourist expenditure; graphical model; chain graph; log-linear graphical model;
- 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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