Is Self-Sufficiency for Womens Collegiate Athletics a Hoop Dream?: Willingness to Pay for Mens and Womens Basketball Tickets
AbstractUniversities spend almost $2 billion subsidizing their collegiate sports programs.� Even the most popular womenâ€™s sport, basketball, fails to break even. An application of Beckerâ€™s theory of customer discrimination is used to calculate the relative preference for menâ€™s basketball for both men and women. Median willingness to pay for menâ€™s basketball relative to womenâ€™s basketball is 180% greater for men and 37% greater for women.� Pricing each sport at its revenue maximizing price, revenues from womenâ€™s basketball are only 43% of that for men, even at a school with historically strong demand for womenâ€™s sports.
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Bibliographic InfoPaper provided by Iowa State University, Department of Economics in its series Staff General Research Papers with number 33822.
Date of creation: 25 May 2011
Date of revision:
Publication status: Forthcoming in Journal of Sports Economics
Contact details of provider:
Postal: Iowa State University, Dept. of Economics, 260 Heady Hall, Ames, IA 50011-1070
Phone: +1 515.294.6741
Fax: +1 515.294.0221
Web page: http://www.econ.iastate.edu
More information through EDIRC
Basketball; Becker; reservation price; revenue; customer discrimination; cross marketing; NCAA;
Find related papers by JEL classification:
- D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis
- L83 - Industrial Organization - - Industry Studies: Services - - - Sports; Gambling; Restaurants; Recreation; Tourism
- M31 - Business Administration and Business Economics; Marketing; Accounting - - Marketing and Advertising - - - Marketing
This paper has been announced in the following NEP Reports:
- NEP-ALL-2011-06-04 (All new papers)
- NEP-LAB-2011-06-04 (Labour Economics)
- NEP-SPO-2011-06-04 (Sports & Economics)
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- DiNardo, John & Tobias, Justin, 2001.
"Nonparametric Density and Regression Estimation,"
Staff General Research Papers
12020, Iowa State University, Department of Economics.
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