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Television Broadcast Demand in Markets Without Local Teams

Author

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  • Scott Tainsky
  • Chad D. McEvoy

Abstract

This article uses television ratings from the 2006 and 2007 National Football League (NFL) seasons to estimate viewer demand in large markets without local teams. The factors that are found to be statistically significant and positively related determinants of television ratings are: team quality and age; the closest team in proximity to the market; late-season contests; and having teams such as the Cowboys and Patriots as participants. Concurrent game telecasts and contests involving unevenly matched teams are negatively related to viewership.

Suggested Citation

  • Scott Tainsky & Chad D. McEvoy, 2012. "Television Broadcast Demand in Markets Without Local Teams," Journal of Sports Economics, , vol. 13(3), pages 250-265, June.
  • Handle: RePEc:sae:jospec:v:13:y:2012:i:3:p:250-265
    DOI: 10.1177/1527002511406129
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    References listed on IDEAS

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    1. Fiona Carmichael & Janet Millington & Roberts Simmons, 1999. "Elasticity of demand for Rugby League attendance and the impact of BskyB," Applied Economics Letters, Taylor & Francis Journals, vol. 6(12), pages 797-800.
    2. Stefan Szymanski, 2010. "Income Inequality, Competitive Balance and the Attractiveness of Team Sports: Some Evidence and a Natural Experiment from English Soccer," Palgrave Macmillan Books, in: Football Economics and Policy, chapter 9, pages 182-201, Palgrave Macmillan.
    3. Jeffery Borland, 2003. "Demand for Sport," Oxford Review of Economic Policy, Oxford University Press and Oxford Review of Economic Policy Limited, vol. 19(4), pages 478-502, Winter.
    4. David Forrest & Robert Simmons & Babatunde Buraimo, 2005. "Outcome Uncertainty And The Couch Potato Audience," Scottish Journal of Political Economy, Scottish Economic Society, vol. 52(4), pages 641-661, September.
    5. Martin B. Schmidt & David J. Berri, 2001. "Competitive Balance and Attendance," Journal of Sports Economics, , vol. 2(2), pages 145-167, May.
    6. Mark Baimbridge & Samuel Cameron & Peter Dawson, 1995. "Satellite broadcasting and match attendance: the case of rugby league," Applied Economics Letters, Taylor & Francis Journals, vol. 2(10), pages 343-346.
    7. Stefan Szymanski & Ron Smith, 2010. "The English Football Industry: Profit, Performance and Industrial Structure," Palgrave Macmillan Books, in: Football Economics and Policy, chapter 1, pages 1-26, Palgrave Macmillan.
    8. Leo Kahane & Stephen Shmanske, 1997. "Team roster turnover and attendance in major league baseball," Applied Economics, Taylor & Francis Journals, vol. 29(4), pages 425-431.
    9. Scott Tainsky, 2010. "Television Broadcast Demand for National Football League Contests," Journal of Sports Economics, , vol. 11(6), pages 629-640, December.
    10. Andrew Welki & Thomas Zlatoper, 1999. "U.S. professional football game-day attendance," Atlantic Economic Journal, Springer;International Atlantic Economic Society, vol. 27(3), pages 285-298, September.
    11. Kanazawa, Mark T & Funk, Jonas P, 2001. "Racial Discrimination in Professional Basketball: Evidence from Nielsen Ratings," Economic Inquiry, Western Economic Association International, vol. 39(4), pages 599-608, October.
    12. Grant Allan & Graeme Roy, 2008. "Does Television Crowd Out Spectators?," Journal of Sports Economics, , vol. 9(6), pages 592-605, December.
    13. Craig A. Depken II, 2001. "Fan Loyalty in Professional Sports," Journal of Sports Economics, , vol. 2(3), pages 275-284, August.
    14. McDonald, Mark & Rascher, Daniel, 2000. "Does Bat Day Make Cents? The Effect of Promotions on the Demand for Major League Baseball," MPRA Paper 25739, University Library of Munich, Germany.
    15. Aldrich Eric M & Arcidiacono Peter S. & Vigdor Jacob L, 2005. "Do People Value Racial Diversity? Evidence from Nielsen Ratings," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 5(1), pages 1-24, February.
    16. Jaume García & Plácido Rodríguez, 2002. "The Determinants of Football Match Attendance Revisited," Journal of Sports Economics, , vol. 3(1), pages 18-38, February.
    17. Hausman, Jerry A & Leonard, Gregory K, 1997. "Superstars in the National Basketball Association: Economic Value and Policy," Journal of Labor Economics, University of Chicago Press, vol. 15(4), pages 586-624, October.
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    Cited by:

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    2. Dominik Schreyer & Benno Torgler, 2018. "On the Role of Race Outcome Uncertainty in the TV Demand for Formula 1 Grands Prix," Journal of Sports Economics, , vol. 19(2), pages 211-229, February.
    3. Dominik Schreyer & Sascha L. Schmidt & Benno Torgler, 2018. "Game Outcome Uncertainty in the English Premier League," Journal of Sports Economics, , vol. 19(5), pages 625-644, June.
    4. Francesco Addesa & Alexander John Bond, 2021. "Determinants of stadium attendance in Italian Serie A: New evidence based on fan expectations," PLOS ONE, Public Library of Science, vol. 16(12), pages 1-18, December.
    5. Babatunde Buraimo & Rob Simmons, 2015. "Uncertainty of Outcome or Star Quality? Television Audience Demand for English Premier League Football," International Journal of the Economics of Business, Taylor & Francis Journals, vol. 22(3), pages 449-469, November.
    6. Thomas Peeters, 2015. "Profit-Maximizing Gate Revenue Sharing In Sports Leagues," Economic Inquiry, Western Economic Association International, vol. 53(2), pages 1275-1291, April.
    7. Tainsky, Scott & Kerwin, Shannon & Xu, Jie & Zhou, Yilun, 2014. "Will the real fans please remain seated? Gender and television ratings for pre-game and game broadcasts," Sport Management Review, Elsevier, vol. 17(2), pages 190-204.
    8. Dominik Schreyer & Sascha L. Schmidt & Benno Torgler, 2018. "Game Outcome Uncertainty and Television Audience Demand: New Evidence from German Football," German Economic Review, Verein für Socialpolitik, vol. 19(2), pages 140-161, May.
    9. Dominik Schreyer & Sascha L. Schmidt & Benno Torgler, 2017. "Game Outcome Uncertainty and the Demand for International Football Games: Evidence From the German TV Market," Journal of Media Economics, Taylor & Francis Journals, vol. 30(1), pages 31-45, January.
    10. Mara Konjer & Henk Erik Meier & Katrin Wedeking, 2017. "Consumer Demand for Telecasts of Tennis Matches in Germany," Journal of Sports Economics, , vol. 18(4), pages 351-375, May.
    11. Catherine C. Gropper & Benjamin C. Anderson, 2018. "Sellout, Blackout, or Get Out," Journal of Sports Economics, , vol. 19(3), pages 332-370, April.
    12. Rodney Paul & Andrew Weinbach, 2013. "Uncertainty Of Outcome And Television Ratings For The Nhl And Mls," Journal of Prediction Markets, University of Buckingham Press, vol. 7(1), pages 53-65.
    13. Brian M. Mills & Mark S. Rosentraub, 2014. "The National Hockey League and Cross-Border Fandom," Journal of Sports Economics, , vol. 15(5), pages 497-518, October.
    14. Isabel Artero & Eduardo Bandrés, 2018. "The Broadcasting Demand for the Spanish National Soccer Team," Journal of Sports Economics, , vol. 19(7), pages 934-959, October.
    15. Raul Caruso & Francesco Addesa & Marco Di Domizio, 2019. "The Determinants of the TV Demand for Soccer: Empirical Evidence on Italian Serie A for the Period 2008-2015," Journal of Sports Economics, , vol. 20(1), pages 25-49, January.
    16. Uribe, Rodrigo & Buzeta, Cristian & Manzur, Enrique & Alvarez, Isabel, 2021. "Determinants of football TV audience: The straight and ancillary effects of the presence of the local team on the FIFA world cup," Journal of Business Research, Elsevier, vol. 127(C), pages 454-463.
    17. Alan D. Smith & Steve R. Clinton, 2016. "Exploring Factors that Lead to People Watching Professional Soccer on Television," Journal of Electronic Commerce in Organizations (JECO), IGI Global, vol. 14(4), pages 66-95, October.
    18. Steven Salaga & Scott Tainsky, 2015. "The Effects of Outcome Uncertainty, Scoring, and Pregame Expectations on Nielsen Ratings for Bowl Championship Series Games," Journal of Sports Economics, , vol. 16(5), pages 439-459, June.
    19. Yan Feng & Jinbao Wang & Yeujun Yoon, 2020. "Online Webcast Demand vs. Offline Spectating Channel Demand (Stadium and TV) in the Professional Sports League," Sustainability, MDPI, vol. 12(23), pages 1-18, November.
    20. Scott Tainsky & Jie Xu & Yilun Zhou, 2014. "Qualifying the Game Uncertainty Effect," Journal of Sports Economics, , vol. 15(3), pages 219-236, June.
    21. Alexander John Bond & Francesco Addesa, 2020. "Competitive Intensity, Fans’ Expectations, and Match-Day Tickets Sold in the Italian Football Serie A, 2012-2015," Journal of Sports Economics, , vol. 21(1), pages 20-43, January.
    22. Brown, Katie M. & Salaga, Steven, 2018. "NCAA football television viewership: Product quality and consumer preference relative to market expectations," Sport Management Review, Elsevier, vol. 21(4), pages 377-390.
    23. Grimshaw Scott D. & Sabin R. Paul & Willes Keith M., 2013. "Analysis of the NCAA Men’s Final Four TV audience," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 9(2), pages 115-126, June.
    24. Iuliia Naidenova & Petr Parshakov & Sofiia Paklina, 2020. "Determinants of Football Fans’ Happiness: Evidence from Facial Emotion Recognition," Journal of Happiness Studies, Springer, vol. 21(3), pages 1103-1116, March.

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    21. repec:lan:wpaper:3604 is not listed on IDEAS
    22. repec:lan:wpaper:3710 is not listed on IDEAS
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