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Understanding tourists’ expenditure patterns: a stochastic frontier approach within the framework of multiple discrete–continuous choices

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Abstract

This article analyzes the determinants of tourists’ expenditure behavior through the joint adoption of two microeconometric approaches, namely, the Stochastic Frontier (SF) and the Multiple Discrete Continuous Extreme Value (MDCEV) model. Despite the attention that analysts have dedicated to consumers’ expenditure behavior in recent years, several limitations concerning the role of budget and the phases of money allocation are still affecting the literature on the topic. In this study, the SF is employed to identify the unobserved individual maximum level of spending allotted for a trip. Once estimated, the frontier is included as a travel budget in the utility-maximizing framework of a MDCEV model. The MDCEV approach allows to simultaneously assess two moments characterizing spending decisions. That is, the decision to allocate the budget to several expenditure categories and the decision concerning the amount to allocate to each category. Data adopted for this research is collected by the Swiss Statistical Office (UST) through a representative Household Budget Survey (Haushaltsbudgeterhebung). Data related to Swiss residents’ leisure travel expenditures are investigated; more specifically, the expenditure categories considered in the analysis are Accommodation, Transportation, Shopping and Food & Beverage.

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References

  • Aguilo, E., Sampol Catalina, J.: Tourist expenditure for mass tourism markets. Ann. Tour. Res. 27, 624–637 (2000)

    Article  Google Scholar 

  • Aigner, D., Knox Lovell, C.A., Peter, S.: Formulation and estimation of stochastic frontier production function models. J. Econom. 6, 21–37 (1977)

    Article  Google Scholar 

  • Assaf, A.G., Josiassen, A.: Frontier Analysis. J. Travel Res. 55(5), 612–627 (2016)

    Article  Google Scholar 

  • Bhat, C.R.: A multiple discrete–continuous extreme value model: formulation and application to discretionary time-use decisions. Transp. Res. Part B: Methodol. 39(8), 679–707 (2005)

    Article  Google Scholar 

  • Bhat, C.R.: The multiple discrete-continuous extreme value (MDCEV) model: Role of utility function parameters, identification considerations, and model extensions. Transp. Res. Part B: Methodol. 42(3), 274–303 (2008)

    Article  Google Scholar 

  • Bhat, C.R., Castro, M., Pinjari, A.R.: Allowing for complementarity and rich substitution patterns in multiple discrete–continuous models. Transp. Res. Part B: Methodol. 81, 59–77 (2015)

    Article  Google Scholar 

  • Castro, M., Bhat, C.R., Pendyala, R.M., Jara-Diaz, S.R.: Accommodating multiple constraints in the multiple discrete-continuous extreme value (MDCEV) choice model. Transp. Res. Part B 46(6), 729–743 (2012)

    Article  Google Scholar 

  • Cheyne, J., Downes, M., Legg, S.: Travel agent vs internet: What influences travel consumer choices? J. Vacat. Mark. 12(1), 41–57 (2012)

    Article  Google Scholar 

  • Crouch, G.I., Oppewal, H., Twan Huybers, D., Louviere, J., Devinney, T.: Discretionary expenditure and tourism consumption: insights from a choice experiment. J. Travel Res. 45(3), 247–258 (2007)

    Article  Google Scholar 

  • Deaton, A., Muellbauer, J.: Economics and Consumer Behavior. Cambridge University Press, Cambridge (2007)

    Google Scholar 

  • Divisekera, S.: Economics of tourist’s consumption behavior: Some evidence from Australia. Tour. Manag. 31(5), 629–636 (2010)

    Article  Google Scholar 

  • Dubin, J.A., McFadden, D.L.: An econometric analysis of residential electric appliance holdings and consumption. Econometrica 52(2), 345 (1984)

    Article  Google Scholar 

  • Engström, T., Kipperberg, G.: Decomposing the heterogeneous discretionary spending of international visitors to Fjord Norway. Tour. Manag. 51, 131–141 (2015)

    Article  Google Scholar 

  • Escobar- Rodríguez, T., Carvajal-Trujillo, E.: Online purchasing tickets for low cost carriers: an application of the unified theory of acceptance and use of technology (UTAUT) model. Tour. Manag. 43, 70–78 (2014)

    Article  Google Scholar 

  • Eugenio-Martin, J.L., Inchausti-Sintes, F.: Low-cost travel and tourism expenditures. Ann. Tour. Res. 57, 140–159 (2016)

    Article  Google Scholar 

  • Ferdous, N., Pinjari, A.R., Bhat, C.R., Pendyala, R.M.: A comprehensive analysis of household transportation expenditures relative to other goods and services: an application to United States consumer expenditure data. Transportation 37(3), 363–390 (2010)

    Article  Google Scholar 

  • Ferrer-Rosell, B., Coenders, G.: Destinations and crisis: profiling tourists’ budget share from 2006 to 2012. J. Dest. Mark. Manag. 7, 26–35 (2016)

    Google Scholar 

  • Gorman, W.M.: Separable utility and aggregation. Econometrica 27(3), 469–481 (1959)

    Article  Google Scholar 

  • Greene, W., Laurits, R.C.: Economies of scale in US electric power generation. J. Polit. Econ. 84, 655–676 (1976)

    Article  Google Scholar 

  • Gunning, T.S., Sickles, R.C.: A multi-product cost function for physician private practices. J. Prod. Anal. 35(2), 119–128 (2011)

    Article  Google Scholar 

  • Hanemann, W.M.: Discrete/continuous models of consumer demand. Econometrica 52(3), 541–561 (1984)

    Article  Google Scholar 

  • Heckman, J.J.: Sample selection bias as a specification error. Econometrica 47(1), 153–161 (1979)

    Article  Google Scholar 

  • Jang, S.-C., Bai, B., Hong, G.-S., O’Leary, J.T.: Understanding travel expenditure patterns: a study of Japanese pleasure travelers to the United States by income level. Tour. Manag. 25, 331–341 (2004)

    Article  Google Scholar 

  • Jang, S.-C., Sunny, H.: A double-hurdle analysis of travel expenditure: baby boomer seniors versus older seniors. Tour. Manag. 30(3), 372–380 (2009)

    Article  Google Scholar 

  • Kumbhakar, S.C., Knox Lovell, C.A.: Stochastic Frontier Analysis. Cambridge University Press, New York (2009)

    Google Scholar 

  • Lee, J.-D., Park, C., Oh, D.-H., Kim, T.-Y.: Measuring consumption efficiency with utility theory and stochastic frontier analysis. Appl. Econ. 40(22), 2961–2968 (2008). https://doi.org/10.1080/00036840600993908

    Article  Google Scholar 

  • Lee, S.K., Jee, W.S., Funk, D.C., Jordan, J.S.: Analysis of attendees’ expenditure patterns to recurring annual events: examining the joint effects of repeat attendance and travel distance. Tour. Manag. 46, 177–186 (2009)

    Article  Google Scholar 

  • Lyu, S.O., Noh, E.J.: Shopping decisions of international tourists to Korea: the Heckman sample selection approach. J. Dest. Mark. Manag. 6, 436–443 (2016)

    Google Scholar 

  • Marrocu, E., Paci, R.Z.A.: Micro-economic determinants of tourist expenditure: a quantile regression approach. Tour. Manag. 50, 13–30 (2016)

    Article  Google Scholar 

  • Morley, C.L.: A microeconomic theory of international tourism demand. Ann. Tour. Res. 19(2), 250–267 (1992)

    Article  Google Scholar 

  • Nicolau, J.L., Más, F.J.: Heckit modelling of tourist expenditure: evidence from Spain. Int. J. Serv. Ind. Manag. 16(3), 271–293 (2005)

    Article  Google Scholar 

  • Pinjari, A.R., Augustin, B., Sivaraman, V., Imani, A.F., Eluru, N., Pendyala, R.M.: Stochastic frontier estimation of budgets for Kuhn-Tucker demand systems: application to activity time-use analysis. Transp. Res. Part A: Policy Pract. 88, 117–133 (2016)

    Google Scholar 

  • Pinjari, A.R., Bhat, C.R.: Nonlinearity of response to level-of-service variables in travel mode choice models. Transp. Res. Rec. J. Trans. Res. Board Natl. Acad. Sci. 1977, 67–74 (2006)

    Article  Google Scholar 

  • Rashidi, T.H., Koo, T.T.R.: An analysis on travel party composition and expenditure: a discrete-continuous model. Ann. Tour. Res. 56, 48–64 (2016)

    Article  Google Scholar 

  • Sikder, S., Pinjari, A.R.: The benefits of allowing heteroscedastic stochastic distributions in multiple discrete-continuous choice models. J. Choice Model. 9, 39–56 (2013)

    Article  Google Scholar 

  • Thrane, C., Farstad, E.: Domestic tourism expenditures: the non-linear effects of length of stay and travel party size. Tour. Manag. 32(1), 46–52 (2011)

    Article  Google Scholar 

  • Wu, D.C., Li, G., Song, H.: Analyzing tourist consumption: a dynamic system-of-equations approach. J. Travel Res. 50(1), 46–56 (2011)

    Article  Google Scholar 

  • Wu, L., Zhang, J., Fujiwara, A.: Tourism participation and expenditure behavior: analysis using a scobit based discrete–continuous choice model. Ann. Tour. Res. 40, 1–17 (2013)

    Article  Google Scholar 

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AP: Introduction, Theoretical background and methodology, Modelling approach, Data, Empirical analysis, Summary and conclusions, Limitations and future research. IS: Introduction, Data, Empirical analysis, Summary and conclusions. RM: Theoretical background and methodology, Empirical analysis

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Correspondence to Andrea Pellegrini.

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Pellegrini, A., Sarman, I. & Maggi, R. Understanding tourists’ expenditure patterns: a stochastic frontier approach within the framework of multiple discrete–continuous choices. Transportation 48, 931–951 (2021). https://doi.org/10.1007/s11116-020-10083-2

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