The Benefits of College Athletic Success: An Application of the Propensity Score Design with Instrumental Variables
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 condition 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.
|Date of creation:||Jun 2012|
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- Devin G. Pope & Jaren C. Pope, 2009. "The Impact of College Sports Success on the Quantity and Quality of Student Applications," Southern Economic Journal, Southern Economic Association, vol. 75(3), pages 750–780, January.
- LaLonde, Robert J, 1986. "Evaluating the Econometric Evaluations of Training Programs with Experimental Data," American Economic Review, American Economic Association, vol. 76(4), pages 604-20, September.
- David Card & Gordon B. Dahl, 2011.
"Family Violence and Football: The Effect of Unexpected Emotional Cues on Violent Behavior,"
The Quarterly Journal of Economics,
Oxford University Press, vol. 126(1), pages 103-143.
- David Card & Gordon Dahl, 2009. "Family Violence and Football: The Effect of Unexpected Emotional Cues on Violent Behavior," NBER Working Papers 15497, National Bureau of Economic Research, Inc.
- David Card & Gordon Dahl, 2009. "Family Violence and Football: The Effect of Unexpected Emotional Cues on Violent Behavior," RCER Working Papers 546, University of Rochester - Center for Economic Research (RCER).
- Card, David & Dahl, Gordon B., 2010. "Family Violence and Football: The Effect of Unexpected Emotional Cues on Violent Behavior," IZA Discussion Papers 4869, Institute for the Study of Labor (IZA).
- Guido Imbens, 2000.
"Efficient Estimation of Average Treatment Effects Using the Estimated Propensity Score,"
Econometric Society World Congress 2000 Contributed Papers
1166, Econometric Society.
- Keisuke Hirano & Guido W. Imbens & Geert Ridder, 2003. "Efficient Estimation of Average Treatment Effects Using the Estimated Propensity Score," Econometrica, Econometric Society, vol. 71(4), pages 1161-1189, 07.
- Keisuke Hirano & Guido W. Imbens & Geert Ridder, 2000. "Efficient Estimation of Average Treatment Effects Using the Estimated Propensity Score," NBER Technical Working Papers 0251, National Bureau of Economic Research, Inc.
- Murphy, Robert G. & Trandel, Gregory A., 1994. "The relation between a university's football record and the size of its applicant pool," Economics of Education Review, Elsevier, vol. 13(3), pages 265-270, September.
- Tucker, Irvin B., 2004. "A reexamination of the effect of big-time football and basketball success on graduation rates and alumni giving rates," Economics of Education Review, Elsevier, vol. 23(6), pages 655-661, December.
- Yoav Benjamini & Abba M. Krieger & Daniel Yekutieli, 2006. "Adaptive linear step-up procedures that control the false discovery rate," Biometrika, Biometrika Trust, vol. 93(3), pages 491-507, September.
- Jeffrey Smith & Petra Todd, 2003.
"Does Matching Overcome Lalonde's Critique of Nonexperimental Estimators?,"
University of Western Ontario, CIBC Centre for Human Capital and Productivity Working Papers
20035, University of Western Ontario, CIBC Centre for Human Capital and Productivity.
- A. Smith, Jeffrey & E. Todd, Petra, 2005. "Does matching overcome LaLonde's critique of nonexperimental estimators?," Journal of Econometrics, Elsevier, vol. 125(1-2), pages 305-353.
- Jonathan Meer & Harvey S. Rosen, 2008.
"The Impact of Athletic Performance on Alumni Giving: An Analysis of Micro Data,"
NBER Working Papers
13937, National Bureau of Economic Research, Inc.
- Meer, Jonathan & Rosen, Harvey S., 2009. "The impact of athletic performance on alumni giving: An analysis of microdata," Economics of Education Review, Elsevier, vol. 28(3), pages 287-294, June.
- Steven D. Levitt, 2004. "Why are gambling markets organised so differently from financial markets?," Economic Journal, Royal Economic Society, vol. 114(495), pages 223-246, 04.
- Sarah E. Turner & Lauren A. Meserve & William G. Bowen, 2001. "Winning and Giving: Football Results and Alumni Giving at Selective Private Colleges and Universities," Social Science Quarterly, Southwestern Social Science Association, vol. 82(4), pages 812-826.
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