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Optimal prices for alpine ski passes

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  • Malasevska, Iveta
  • Haugom, Erik

Abstract

The purpose of this paper is to examine the relationship between price and demand and to determine the effect of variable pricing on ski resort revenues. We use data from a survey of existing skiers at three ski resorts in the inland region of Norway to estimate price–response functions, based on a number of characteristics, including day-of-week and distance to the resort. The various price–response functions are subsequently used to calculate optimal prices for each subset of skiers according to their differing characteristics. The results show that ski resorts have the potential to increase their total revenues substantially by adopting a more dynamic approach to pricing. Thus, our results provide academic support for the findings of ski resorts that have implemented such pricing strategies.

Suggested Citation

  • Malasevska, Iveta & Haugom, Erik, 2018. "Optimal prices for alpine ski passes," Tourism Management, Elsevier, vol. 64(C), pages 291-302.
    • Handle: RePEc:eee:touman:v:64:y:2018:i:c:p:291-302
    DOI: 10.1016/j.tourman.2017.09.006
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    References listed on IDEAS

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    Cited by:

    1. Erik Haugom & Iveta Malasevska, 2018. "Variable pricing and change in alpine skiing attendance," Tourism Economics, , vol. 24(8), pages 1029-1036, December.
    2. Thomas Bausch & Andreas Humpe & Stefan Gössling, 2019. "Does Climate Change Influence Guest Loyalty at Alpine Winter Destinations?," Sustainability, MDPI, vol. 11(15), pages 1-22, August.
    3. Wai Kit Tsang & Dries F. Benoit, 2020. "Gaussian processes for daily demand prediction in tourism planning," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 39(3), pages 551-568, April.
    4. Martin Falk & Robert Steiger, 2020. "Size facilitates profitable ski lift operations," Tourism Economics, , vol. 26(7), pages 1197-1211, November.
    5. Troxler, Pascal, 2022. "Weather Forecasts and their Relation to Ski Demand," VfS Annual Conference 2022 (Basel): Big Data in Economics 264121, Verein für Socialpolitik / German Economic Association.
    6. Steiger, Robert & Posch, Eva & Tappeiner, Gottfried & Walde, Janette, 2020. "The impact of climate change on demand of ski tourism - a simulation study based on stated preferences," Ecological Economics, Elsevier, vol. 170(C).
    7. Hannes Wallimann, 2022. "A complementary product of a nearby ski lift company," Tourism Economics, , vol. 28(2), pages 418-434, March.
    8. Ziye Shang & Jian Ming Luo & Anthony Kong, 2022. "Topic Modelling for Ski Resorts: An Analysis of Experience Attributes and Seasonality," Sustainability, MDPI, vol. 14(6), pages 1-15, March.

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