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