The purpose of this paper is to examine the drivers of NCAA Football Bowl Subdivision total revenues from the 2007 to 2012 seasons.
The author uses both ordinary least squares and quantile regression to estimate the impact that winning and lagged attendance have on real total revenue.
The author finds that the marginal revenue of winning changes substantially from one end of the conditional distribution to the other end of the conditional distribution but the marginal revenue of lagged attendance is more consistent as compared to winning.
This will have implications for researchers investigating NCAA football coaches’ salaries and NCAA football player valuation.
The author would like to thank Emily Karpinski and Ziyi Zheng for helpful research assistance on this project, the participants at the Illinois Economic Association in 2014, the NCAA Training and Signals session of the Eastern Economic Association 2015 meetings and the Missouri Valley Economics Association 2015 meetings as well as Antonio Galvao on quantile regression. All errors remain the author’s own.
CitationDownload as .RIS
Emerald Group Publishing Limited
Copyright © 2016, Emerald Group Publishing Limited