Abstract
According to the micro-economic theories regarding consumption behaviour, the determinants affecting the joint propensity of purchasing different goods and services are investigated. For this purpose, a copula-based model is suggested to understand how different expenditure categories are dependent with each other. A real application drawn from the tourism field illustrates the proposed approach and shows its main advantages. The findings could guide local practitioners and managers in creating new promotional campaigns able to attract visitors willing to pay on a bundle of goods and services correlated with each other.
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Alegre J, Pou L (2004) Microeconomic determinants of the probability of tourism consumption. Tour Econ 10(2):125144
Durante F, Sempi C (2015) Principles of copula theory. CRC/Chapman and Hall, Boca Raton, FL
Genest C, Nikoloulopoulos A, Rivest L, Fortin M (2013) Predicting dependent binary outcomes through logistic regressions and meta-elliptical copulas. Braz J Probab Stat 27(3):265284
Hung W-T, Shang J-K, Wang F-C (2012) Another look at the determinants of tourism expenditure. Ann Tour Res 39(1):495–498
Pudney S (1989) Modelling individual choice: the econometrics of corners, Kinks, and Holes. Basil Blackewll, London
Syriopoulos T, Sinclair M (1993) An econometric study of tourism demand: the AIDS model of US and European tourism in Mediterranean countries. Appl Econ 25(12):15411552
White H (1980) A heteroscedasticity-consistent covariance matrix estimator and a direct test for heteroscedasticity. Econometrica 48(4):817838
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© 2017 Springer International Publishing Switzerland
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Disegna, M., Durante, F., Foscolo, E. (2017). A Multivariate Analysis of Tourists’ Spending Behaviour. In: Ferraro, M., et al. Soft Methods for Data Science. SMPS 2016. Advances in Intelligent Systems and Computing, vol 456. Springer, Cham. https://doi.org/10.1007/978-3-319-42972-4_24
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DOI: https://doi.org/10.1007/978-3-319-42972-4_24
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Publisher Name: Springer, Cham
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Online ISBN: 978-3-319-42972-4
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