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Original Article

Will the real fans please remain seated? Gender and television ratings for pre-game and game broadcasts

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Pages 190-204 | Received 25 Jan 2013, Accepted 24 Apr 2013, Published online: 14 Jun 2013
 

Highlights

This study examines how television audience composition varies by gender for pre-game and game broadcasts.

Our findings support the previously held notion of how female pre-game viewership may be used to establish veritable fan status.

Determinants of intra-match viewership are then analyzed via a series of regression models, with more of the variance explained as games progress.

We compare the resulting coefficient estimates of demand determinants for each gender and discuss both the similarities and differences found between female and male fans.

Abstract

Previous analysis of fan motivation suggests a number of differences exist in the sport spectatorship of female and male fans, however discrepancies are present in the collective findings. We extend the literature by drawing on sport economic demand research, testing how specific game characteristics influence consumption patterns for each gender. Through the examination of NCAA football game broadcasts, our results support the importance of female pre-game viewership to establish fan status. By contrast, among the many variables tested, gendered-differences in the impact on game viewership are evident only with respect to income and local team participation. Moreover, we do not find differences related to anticipated or actual game competitiveness. We conclude that within game viewership patterns are essentially similar for female and male fans and offer thoughts regarding the practical implications of this research.

Notes

1 An example may prove illustrative. For the game between Southern Cal and Texas on January 4, 2006, in the Philadelphia market the estimated viewership was as follows (viewership quantities given in thousands):

Pre-game: female 190, male 336; odds pre-game = 0.5655,

Game: female 215, male 445; odds game = 0.4831,

OR = 1.17 (p < .0001),

Thus the odds of a female in the pre-game viewership audience are higher than the odds of a female in the game audience for this game in the Philadelphia market.

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