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A Random Parameter Logit Approach To The Two-Stage Tourist Choice Process: Going On Holidays And Length Of Stay

Author

Listed:
  • Francisco J. Mas

    (Universidad de Alicante)

  • Juan Luis Nicolau

    (Universidad de Alicante)

Abstract

This paper assumes that the decision to go on holiday and the length of stay are non independent, thus the objective of this paper is to propose a two-stage tourist choice process: going on holiday and length of stay. To do this, we rely on the Random-Parameter Logit Model, which accounts for the unobserved heterogeneity of tourists and allows representation of different correlation patterns among non independent alternatives. We propose hypotheses on the effect on the above decisions of tourist characteristics relating to the destination, personal restrictions and socio-demographic and psychographic characteristics. The empirical application, which is carried out in Spain on a sample of 3,781 individuals, evidences the proposed two-stage tourist choice process. In addition, these decisions are also explained by individual tourist characteristics.

Suggested Citation

  • Francisco J. Mas & Juan Luis Nicolau, 2004. "A Random Parameter Logit Approach To The Two-Stage Tourist Choice Process: Going On Holidays And Length Of Stay," Working Papers. Serie AD 2004-46, Instituto Valenciano de Investigaciones Económicas, S.A. (Ivie).
    • Handle: RePEc:ivi:wpasad:2004-46
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    References listed on IDEAS

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    Cited by:

    1. Gómez-Déniz, E. & Pérez-Rodríguez, J.V., 2019. "Modelling bimodality of length of tourist stay," Annals of Tourism Research, Elsevier, vol. 75(C), pages 131-151.
    2. Gómez–Déniz, E. & Pérez–Rodríguez, J.V., 2019. "Modelling distribution of aggregate expenditure on tourism," Economic Modelling, Elsevier, vol. 78(C), pages 293-308.
    3. Alegre, Joaquín & Mateo, Sara & Pou, Llorenç, 2011. "A latent class approach to tourists’ length of stay," Tourism Management, Elsevier, vol. 32(3), pages 555-563.
    4. Chiara Bocci & Laura Grassini & Emilia Rocco, 2021. "A multiple inflated negative binomial hurdle regression model: analysis of the Italians’ tourism behaviour during the Great Recession," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 30(4), pages 1109-1133, October.

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    Keywords

    Tourism Marketing; Going on holiday; Length of stay; Random-Parameter Logit Model;
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