Abstract
Among the many aspects of tourism demand, this study focuses upon the tourists’ choice among destinations and vacation activities in a given period. Nested multinomial logit and the extended multinomial logit model are employed to investigate the impact of alternative- and individual-specific characteristics upon the individuals’ choice behavior. Particular attention is paid to the process of generating spatial alternatives.
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References
Cf. Mieczkowski (1990).
Cf. Fridgen (1991).
Cf. United Nations (1988).
Cf. Zimmermann (1985, 1992).
Cf. For a survey cf. Mieczkowski (1990).
Cf. World Tourism Organization (1989).
Cf. e.g. Schulmeister (1981), O’Hagan and Harrison (1984), Bakkal (1991), or Espasa et al. (1992).
Additionally, two SAS-IML program versions allowing for full information maximum likelihood estimation of the two models have been implemented. For a comparison of the results cf. Eymann (1991) as well as Eymann and Ronning (1994).
For the results with respect to other specifications cf. Eymann and Ronning (1992, 1994).
The goodness of fit of such model specifications has in fact proved to be higher than the one of models that distinguish among destinations only. Unfortunately, a direct comparison of the goodness of fit of model specifications that differ in the assumed sequence of the nesting levels has not been possible due to (computational) constraints with respect to the maximal number of parameters. Cf. Eymann and Ronning (1992).
Strictly speaking, the individuals were asked for their motives to visit the vacation area several months after their vacation. Their experiences might have influenced their answers. 16Cf. Train, McFadden, and Goett (1987).
Cf. Ronning (1994).
Cf. McFadden (1978) or Kitamura, Kostyniuk, and Ting (199).
For the interpretation of the variable (PRICE), measuring the vacation expenditure per person and day, it should be noted that the result could be biased due to the inclusion of the chosen activities in the price equations. The estimation results do not seem to change significantly when the activity variables are substituted by their averages. Cf. Eymann and Ronning (1994).
For a detailed discussion of the results cf. Eymann and Ronning (1994).
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© 1995 Physica-Verlag Heidelberg
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Eymann, A. (1995). An Empirical Analysis of Tourism Demand. In: Consumers’ Spatial Choice Behavior. International Economics and Institutions. Physica-Verlag HD. https://doi.org/10.1007/978-3-642-50325-2_4
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DOI: https://doi.org/10.1007/978-3-642-50325-2_4
Publisher Name: Physica-Verlag HD
Print ISBN: 978-3-7908-0852-0
Online ISBN: 978-3-642-50325-2
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