Someone should shell out the $5 and send a copy to every single administrator and regent:
http://nber.org/papers/w18196
Peer-reviewed paper that finds that a winning football team:
-reduces acceptance rates*
-increases donations
-increases applications
-increases academic reputation
-increases in-state enrollment
-increases incoming student SAT scores
*initially counter-intuitive, but this is a good thing, it happens due to a combination of more applications & better qualified applicants.
If a team wins 5 more games during a season:
"This school may expect alumni athletic donations to increase by $682,000 (28%), applications to increase by 677 (5%), the acceptance rate to drop by 1.5 percentage points (2%), in-state enrollment to increase by 76 students (3%), and incoming 25th percentile SAT scores to increase by 9 points (1%)."
Here's the full paper abstract for the real geeks:
http://nber.org/papers/w18196
Peer-reviewed paper that finds that a winning football team:
-reduces acceptance rates*
-increases donations
-increases applications
-increases academic reputation
-increases in-state enrollment
-increases incoming student SAT scores
*initially counter-intuitive, but this is a good thing, it happens due to a combination of more applications & better qualified applicants.
If a team wins 5 more games during a season:
"This school may expect alumni athletic donations to increase by $682,000 (28%), applications to increase by 677 (5%), the acceptance rate to drop by 1.5 percentage points (2%), in-state enrollment to increase by 76 students (3%), and incoming 25th percentile SAT scores to increase by 9 points (1%)."
Here's the full paper abstract for the real geeks:
Spending on big-time college athletics is often justified on the grounds that athletic success attracts students and raises donations. Testing this claim has proven difficult because success is not randomly assigned. We exploit data on bookmaker spreads to estimate the probability of winning each game for college football teams. We then con- dition on these probabilities using a propensity score design to estimate the effects of winning on donations, applications, and enrollment. The resulting estimates represent causal effects under the assumption that, conditional on bookmaker spreads, winning is uncorrelated with potential outcomes. Two complications arise in our design. First, team wins evolve dynamically throughout the season. Second, winning a game early in the season reveals that a team is better than anticipated and thus increases expected season wins by more than one-for-one. We address these complications by combining an instrumental variables-type estimator with the propensity score design. We find that winning reduces acceptance rates and increases donations, applications, academic reputation, in-state enrollment, and incoming SAT scores.