Top of the Order: Modeling the Optimal Locations of Minor League Baseball Teams

Authors

W. Coleman Conley, Emory & Henry CollegeFollow

Abstract

Over the last twenty-five years, minor league baseball franchises have defined firm mobility. Revisiting the work of Michael C. Davis (2006), I construct a logistic regression model to predict which cities house minor league baseball teams. Six variables are tested for inclusion in the model, including population, income level, the number of major-league professional sports teams in a city, five-year population change, and distance from the closest professional team. Based on the model's predicted probabilities, cities are ranked in order of highest probability of having a team at each of the different levels from Class A to Class AAA.

Recommended Citation

Conley, W. Coleman (2015) "Top of the Order: Modeling the Optimal Locations of Minor League Baseball Teams," Undergraduate Economic Review: Vol. 11: Iss. 1, Article 9.
Available at: https://digitalcommons.iwu.edu/uer/vol11/iss1/9