Date of Award
Bachelor of Arts
This paper analyzes the results from the last 12 seasons of the FIS Alpine World Cup, in order to explore what demographic and economic characteristics have the most predictive power in determining success. The empirical model is formatted based on previous literature focused on predicting countries’ success at the Olympics. The results indicate that GDP Per Capita is the most significant variable when predicting success. It is followed by population. Surprisingly the snowfall variable was not significant. The final results suggest that in order for countries to outperform their demographic and economic characteristics they must aggressively fund their alpine teams.
Paine, Mercy, "Mo’ Money Mo’ Points: World Cup Skiing Success in Relationship to GDP Per Capita, Population, and Snowfall" (2018). Economics Student Theses and Capstone Projects. 92.