Ben Hanson Robert ParkerSavin, Asher2022-09-282022-09-282022-05https://hdl.handle.net/1794/2752833 pagesIn this paper, I use locational phone data to model changes in skier turnout at Vail Mountain Resort and find that snow depth and cyclical factors are the primary variables driving attendance. In addition, no statistically significant effect of new snowfall on skier attendance was identified. This research both contributes to the econometric literature on the demand for ski resorts, as well as introduces the concept of using a standardized, scalable, and easily attainable data source for this purpose. As forces such as climate change and ski resort consolidation continue to affect the ski industry, there is an increasing opportunity for future research to expand this analysis nationally or globally using a similar method to the one presented here. This research could help ski resort managers and ski resort owners with a number of decision-making scenarios.enCreative Commons BY-NC-ND 4.0-USEconometricsEconometric modelingSkiingOLSVail Mountain ResortCellular Locational DataThesis / Dissertation