The Demand for Programs at a College Football Game: OLS and LMS Estimates of Optimal Prices
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College athletic directors face the difficulty of setting a price for goods and services they provide to the public. One complementary good provided as a part of major college sports events is game-day programs. This paper estimates a demand function for football programs using 11 years of data for an NCAA Division I-AA college. Least median of squares (LMS), a new outlier-resistant estimation technique, is used to refine the model and provide a more useful estimate of the demand function. The revenue- and profit-maximizing program price is found and compared with prices actually charged throughout the sample period.
2013 ◽
Vol 11
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pp. 537
2016 ◽
Vol 24
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pp. 14-25
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2014 ◽
Vol 104
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pp. 370-375
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2002 ◽
Vol 16
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pp. 331-356
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2016 ◽
Vol 9
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pp. 200-225
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2005 ◽
Vol 19
(2)
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pp. 170-192
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