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By William J. Battle-McDonald
This paper examines how the quantity and quality of admissions applications to Division 1 colleges and universities were affected by two non-academic factors: (1) performance of a school’s men’s basketball and football teams; and (2) scandals associated with these athletic programs. Admissions data from 2001 – 2017 were compared to team performance during their football and basketball seasons in order to understand how these non-academic factors contribute to an individual’s decisions to apply for admission. A multivariate linear regression model with school and year fixed effects supported the hypothesis that athletic success positively affects the quantity of applications, increasing them by up to 3% in basketball and 11% in football in the following application period. Seasonal football success was also shown to have negative impacts on the distribution of standardized testing scores of future applicant classes, however these scores were shown to increase when a team played their best season in five or more years. Additional analysis of the effects of athletic program scandals reveals a significant negative effect on the number of applications received, although a deep dive into a few of the most prominent scandals suggests that the benefits associated with violating NCAA rules may, under the right circumstances, be well worth the risk.
Advisor: Dr. James Roberts | JEL Codes: I23, J24, L82, L83, Z2
By Kelly Froelich
The importance of the left tackle position in comparison to the other offensive line positions in the National Football League (NFL) has been widely debated amongst sports commentators, as the left tackle is traditionally the second highest paid player on a football team behind the quarterback; yet, this debate lacks empirical findings. This paper aims to quantify the impact of the individual offensive linemen on the chance of winning a game on a game‐by‐game basis and then compare the impact of the left tackle to the other offensive line positions. Using a conditional logistic regression and the marginal effects from that regression, the results do not dispute the NFL’s current trend in spending more on the left tackle in comparison to the other offensive line positions. The results show that optimal spending for the left tackle could extend to 15.976 percent of the salary cap. Thus, the possibility remains that the optimal spending for the left tackle can range up to fifteen percent of the
salary cap, seven percentage points above the next highest optimal offensive lineman spending.
Advisor: Peter Arcidiacon | JEL Codes: J3, J31, J44 | Tagged: