IDEAS home Printed from https://ideas.repec.org/a/taf/applec/v48y2016i32p3020-3032.html
   My bibliography  Save this article

Competition in shared markets and Major League Baseball broadcast viewership

Author

Listed:
  • Brian M. Mills
  • Michael Mondello
  • Scott Tainsky

Abstract

This work evaluates the cross-quality elasticity of related products in the context of local market Nielsen Local People Meter ratings of Major League Baseball (MLB) regular season broadcasts from 2010 through 2013 from six teams in three shared markets. We employ a fixed effects panel regression with multi-way error clustering, finding that fans exhibit nuanced behaviour related to the absolute quality and relative quality of the two local teams. Our estimates imply quality-related competition for viewership between teams in the face of large disparities in quality. However, when both teams are of high quality, viewership increased beyond what own-team success would predict alone for the competing team. The competitive effects are largely dominated by the spillover effects. These findings point to complementary effects of team success beyond own-team interest, and bring about an important nuance in the literature on market definition, competition and substitution in sport.

Suggested Citation

  • Brian M. Mills & Michael Mondello & Scott Tainsky, 2016. "Competition in shared markets and Major League Baseball broadcast viewership," Applied Economics, Taylor & Francis Journals, vol. 48(32), pages 3020-3032, July.
    • Handle: RePEc:taf:applec:v:48:y:2016:i:32:p:3020-3032
    DOI: 10.1080/00036846.2015.1133899
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/00036846.2015.1133899
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/00036846.2015.1133899?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Kevin Mongeon & Jason Winfree, 2013. "The Effects of Cross-Ownership and League Policies Across Sports Leagues Within a City," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 43(3), pages 145-162, November.
    2. Daniel, Rascher & Matt, Brown & Mark, Nagel & Chad, McEvoy, 2009. "Where did National Hockey League Fans go During the 2004-2005 Lockout?: An Analysis of Economic Competition Between Leagues," MPRA Paper 25804, University Library of Munich, Germany.
    3. Peeters, Thomas, 2012. "Media revenue sharing as a coordination device in sports leagues," International Journal of Industrial Organization, Elsevier, vol. 30(2), pages 153-163.
    4. A. Colin Cameron & Jonah B. Gelbach & Douglas L. Miller, 2008. "Bootstrap-Based Improvements for Inference with Clustered Errors," The Review of Economics and Statistics, MIT Press, vol. 90(3), pages 414-427, August.
    5. Cameron, A. Colin & Gelbach, Jonah B. & Miller, Douglas L., 2011. "Robust Inference With Multiway Clustering," Journal of Business & Economic Statistics, American Statistical Association, vol. 29(2), pages 238-249.
    6. A. Colin Cameron & Douglas L. Miller, 2015. "A Practitioner’s Guide to Cluster-Robust Inference," Journal of Human Resources, University of Wisconsin Press, vol. 50(2), pages 317-372.
    7. Kevin Mongeon & Jason Winfree, 2012. "Comparison of television and gate demand in the National Basketball Association," Sport Management Review, Taylor & Francis Journals, vol. 15(1), pages 72-79, January.
    8. Scott Tainsky & Jie Xu & Yilun Zhou, 2014. "Qualifying the Game Uncertainty Effect," Journal of Sports Economics, , vol. 15(3), pages 219-236, June.
    9. Azar, Ofer H., 2011. "Do people think about absolute or relative price differences when choosing between substitute goods?," Journal of Economic Psychology, Elsevier, vol. 32(3), pages 450-457, June.
    10. Jeffrey Ely & Alexander Frankel & Emir Kamenica, 2015. "Suspense and Surprise," Journal of Political Economy, University of Chicago Press, vol. 123(1), pages 215-260.
    11. David A. Matsa, 2011. "Competition and Product Quality in the Supermarket Industry," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 126(3), pages 1539-1591.
    12. Brian M. Mills & Jason A. Winfree & Mark S. Rosentraub & Ekaterina Sorokina, 2015. "Fan substitution between North American professional sports leagues," Applied Economics Letters, Taylor & Francis Journals, vol. 22(7), pages 563-566, May.
    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. Jason Winfree & Jill McCluskey & Ron Mittelhammer & Rodney Fort, 2004. "Location and attendance in major league baseball," Applied Economics, Taylor & Francis Journals, vol. 36(19), pages 2117-2124.
    15. Scott Tainsky, 2010. "Television Broadcast Demand for National Football League Contests," Journal of Sports Economics, , vol. 11(6), pages 629-640, December.
    16. Steven Salaga & Alan Ostfield & Jason Winfree, 2014. "Revenue Sharing with Heterogeneous Investments in Sports Leagues: Share Media, Not Stadiums," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 45(1), pages 1-19, August.
    17. Scott Tainsky & Jie Xu & Brian Mills & Steven Salaga, 2016. "How Success and Uncertainty Compel Interest in Related Goods: Playoff Probability and Out-of-Market Television Viewership in the National Football League," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 48(1), pages 29-43, February.
    18. Jason Winfree, 2009. "Owners incentives during the 2004-05 National Hockey League lockout," Applied Economics, Taylor & Francis Journals, vol. 41(25), pages 3275-3285.
    19. Jason A. Winfree & Rodney Fort, 2008. "Fan Substitution and the 2004-05 NHL Lockout," Journal of Sports Economics, , vol. 9(4), pages 425-434, August.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Brad R. Humphreys & Amir B. Ferreira Neto, 2020. "Localization Economies and Firm Productivity: Evidence from Football Teams in Sao Paulo, Brazil," Working Papers 20-09, Department of Economics, West Virginia University.
    2. Jyh-How Huang & Chung-Yi Lu & Yu-Chia Hsu, 2023. "Potential Baseball Fan Engagement: The Determinants of a New Television Audience in the Chinese Professional Baseball League during the COVID-19 Pandemic," Sustainability, MDPI, vol. 15(4), pages 1-14, February.
    3. Seung-Man Lee, 2021. "Traditional and Revised Importance-Performance Analysis of Viewer Perceptions Regarding Korea Baseball Organization Broadcasting," Sustainability, MDPI, vol. 13(21), pages 1-12, October.
    4. Georgios Nalbantis & Tim Pawlowski & Dominik Schreyer, 2023. "Substitution Effects and the Transnational Demand for European Soccer Telecasts," Journal of Sports Economics, , vol. 24(4), pages 407-442, May.
    5. Aigbe Akhigbe & Melinda Newman & Ann Marie Whyte, 2021. "Is There a Differential Market Size Effect in U.S. Free Agent Signings? Evidence From Localized Sentiment Trading," Journal of Sports Economics, , vol. 22(6), pages 678-721, August.
    6. Tim Wallrafen & Georgios Nalbantis & Tim Pawlowski, 2022. "Competition and Fan Substitution Between Professional Sports Leagues," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 61(1), pages 21-43, August.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Tim Wallrafen & Georgios Nalbantis & Tim Pawlowski, 2022. "Competition and Fan Substitution Between Professional Sports Leagues," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 61(1), pages 21-43, August.
    2. Tim Wallrafen & Tim Pawlowski & Christian Deutscher, 2019. "Substitution in Sports: The Case of Lower Division Football Attendance," Journal of Sports Economics, , vol. 20(3), pages 319-343, April.
    3. Mongeon, Kevin & Winfree, Jason, 2012. "Cross-ownership, league policies and player investment across sports leagues," MPRA Paper 39218, University Library of Munich, Germany.
    4. Kevin Mongeon & Jason Winfree, 2013. "The Effects of Cross-Ownership and League Policies Across Sports Leagues Within a City," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 43(3), pages 145-162, November.
    5. Brian M. Mills & Jason A. Winfree & Mark S. Rosentraub & Ekaterina Sorokina, 2015. "Fan substitution between North American professional sports leagues," Applied Economics Letters, Taylor & Francis Journals, vol. 22(7), pages 563-566, May.
    6. James G. MacKinnon & Matthew D. Webb & Morten Ø. Nielsen, 2017. "Bootstrap And Asymptotic Inference With Multiway Clustering," Working Paper 1386, Economics Department, Queen's University.
    7. Sequeira, Tiago & Morão, Hugo, 2020. "Growth accounting and regressions: New approach and results," International Economics, Elsevier, vol. 162(C), pages 67-79.
    8. James G. MacKinnon, 2019. "How cluster‐robust inference is changing applied econometrics," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 52(3), pages 851-881, August.
    9. Hansen, Bruce E. & Lee, Seojeong, 2019. "Asymptotic theory for clustered samples," Journal of Econometrics, Elsevier, vol. 210(2), pages 268-290.
    10. MacKinnon, James G. & Nielsen, Morten Ørregaard & Webb, Matthew D., 2023. "Cluster-robust inference: A guide to empirical practice," Journal of Econometrics, Elsevier, vol. 232(2), pages 272-299.
    11. Bruno Ferman, 2023. "Inference in difference‐in‐differences: How much should we trust in independent clusters?," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 38(3), pages 358-369, April.
    12. MacKinnon, James G. & Nielsen, Morten Ørregaard & Webb, Matthew D., 2023. "Testing for the appropriate level of clustering in linear regression models," Journal of Econometrics, Elsevier, vol. 235(2), pages 2027-2056.
    13. Kevin Mongeon & Jason Winfree, 2012. "Comparison of television and gate demand in the National Basketball Association," Sport Management Review, Taylor & Francis Journals, vol. 15(1), pages 72-79, January.
    14. Heiko T. Burret & Lars P. Feld, 2016. "Effects of Fiscal Rules - 85 Years' Experience in Switzerland," CESifo Working Paper Series 6063, CESifo.
    15. Yang He & Otávio Bartalotti, 2020. "Wild bootstrap for fuzzy regression discontinuity designs: obtaining robust bias-corrected confidence intervals [Using Maimonides’ rule to estimate the effect of class size on scholastic achievemen," The Econometrics Journal, Royal Economic Society, vol. 23(2), pages 211-231.
    16. James G. MacKinnon & Morten Ørregaard Nielsen & Matthew D. Webb, 2023. "Leverage, influence, and the jackknife in clustered regression models: Reliable inference using summclust," Stata Journal, StataCorp LP, vol. 23(4), pages 942-982, December.
    17. James G. MacKinnon & Morten Ørregaard Nielsen & Matthew D. Webb, 2021. "Wild Bootstrap and Asymptotic Inference With Multiway Clustering," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 39(2), pages 505-519, March.
    18. Burret, Heiko T. & Feld, Lars P., 2018. "(Un-)intended effects of fiscal rules," European Journal of Political Economy, Elsevier, vol. 52(C), pages 166-191.
    19. Kyle Rozema, 2021. "Does the Bar Exam Protect the Public?," Journal of Empirical Legal Studies, John Wiley & Sons, vol. 18(4), pages 801-848, December.
    20. Friedt, Felix L. & Toner-Rodgers, Aidan, 2022. "Natural disasters, intra-national FDI spillovers, and economic divergence: Evidence from India," Journal of Development Economics, Elsevier, vol. 157(C).

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:taf:applec:v:48:y:2016:i:32:p:3020-3032. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/RAEC20 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.