As the economy is in a decline, fewer people are willing to pay for luxuries such as vacations. Thus, the ski resort industry is suffering. This thesis reveals an opportunity m the growth of free skiing and a demand for more difficult terrain. In this paper, data is collected from nearly all Colorado ski resorts to form a regression model explaining resort success. Regression analysis is conducted to discover what aspects of a ski resort contribute to success. Primarily, skier visits from the 2008-2009 ski season are used as the dependent variable in the regression model to measure resort success. Additionally, hedonic pricing theory is applied to test lift ticket price as a dependent variable. The paper finds that resort size, and possibly terrain park features are related to resort success. The hedonic pricing regression finds that bowl skiing, and lack of crowds, increase consumer willingness to pay for expensive lift tickets.
Bibliography : pages 71-73