IDEAS home Printed from https://ideas.repec.org/a/sae/jospec/v19y2018i4p583-598.html
   My bibliography  Save this article

Common Factors in Major League Baseball Game Attendance

Author

Listed:
  • Young H. Lee

Abstract

This article applies a panel data model with observed common factors to Major League Baseball (MLB) data from 1904 to 2012 to analyze attendance. In particular, it aims to identify common factors. The empirical results suggest that MLB fan preferences were simple in the early years (1904-1957) with respect to common factors and then became multifaceted in later years (1958-2012), because the number of significant common factors increased from four to seven. Time trends and per capita gross domestic product were significant over the whole sample period, but outcome uncertainties and offensive performance, such as slugging performance, became newly significant common factors influencing attendance in later years. This indicates that fans consider not only their home team’s characteristics but also the characteristics of the away teams; then, in the modern era, it became critical for the league to implement elaborate business measures to promote competitive balance and slugging performance.

Suggested Citation

  • Young H. Lee, 2018. "Common Factors in Major League Baseball Game Attendance," Journal of Sports Economics, , vol. 19(4), pages 583-598, May.
  • Handle: RePEc:sae:jospec:v:19:y:2018:i:4:p:583-598
    DOI: 10.1177/1527002516672061
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/1527002516672061
    Download Restriction: no

    File URL: https://libkey.io/10.1177/1527002516672061?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
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Ahn, Seung C. & Lee, Young H. & Schmidt, Peter, 2013. "Panel data models with multiple time-varying individual effects," Journal of Econometrics, Elsevier, vol. 174(1), pages 1-14.
    2. Rodney Fort & James Quirk, 1995. "Cross-subsidization, Incentives, and Outcomes in Professional Team Sports Leagues," Journal of Economic Literature, American Economic Association, vol. 33(3), pages 1265-1299, September.
    3. Jushan Bai, 2009. "Panel Data Models With Interactive Fixed Effects," Econometrica, Econometric Society, vol. 77(4), pages 1229-1279, July.
    4. Seung C. Ahn & Young H. Lee, 2014. "Major League Baseball Attendance," Journal of Sports Economics, , vol. 15(5), pages 451-477, October.
    5. Dennis Coates & Brad R. Humphreys & Li Zhou, 2014. "Reference-Dependent Preferences, Loss Aversion, And Live Game Attendance," Economic Inquiry, Western Economic Association International, vol. 52(3), pages 959-973, July.
    6. Matti Keloharju & Juhani T. Linnainmaa & Peter Nyberg, 2016. "Return Seasonalities," Journal of Finance, American Finance Association, vol. 71(4), pages 1557-1590, August.
    7. Dennis Coates & Brad R. Humphreys, 2012. "Game Attendance and Outcome Uncertainty in the National Hockey League," Journal of Sports Economics, , vol. 13(4), pages 364-377, August.
    8. Baimbridge, Mark & Cameron, Samuel & Dawson, Peter, 1996. "Satellite Television and the Demand for Football: A Whole New Ball Game?," Scottish Journal of Political Economy, Scottish Economic Society, vol. 43(3), pages 317-333, August.
    9. Seung C.Ahn & Young H. Lee, 2014. "Major League Baseball Attendance: Long-term Analysis Using Factor Models," Working Papers 1402, Nam Duck-Woo Economic Research Institute, Sogang University (Former Research Institute for Market Economy).
    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. Dominik Schreyer, 2019. "Football spectator no-show behaviour in the German Bundesliga," Applied Economics, Taylor & Francis Journals, vol. 51(45), pages 4882-4901, September.
    2. Gregory A. Falls & Paul A. Natke & Linlan Xiao, 2022. "College football attendance in the long run: The Football Championship Subdivision," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 43(6), pages 2172-2183, September.
    3. Adam C. Merkle & Catherine Hessick & Britton R. Leggett & Larry Goehrig & Kenneth O’Connor, 2020. "Exploring the components of brand equity amid declining ticket sales in Major League Baseball," Journal of Marketing Analytics, Palgrave Macmillan, vol. 8(3), pages 149-164, September.
    4. Dominik Schreyer & Sascha L. Schmidt & Benno Torgler, 2019. "Football Spectator No-Show Behavior," Journal of Sports Economics, , vol. 20(4), pages 580-602, May.

    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. Hayley Jang & Doyoung Kim & Young Hoon Lee, 2023. "Uncertainty of Outcome Hypothesis: Theoretical Development and Empirical Evaluation," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 62(3), pages 271-291, May.
    2. Brian M. Mills & Rodney Fort, 2018. "Team-Level Time Series Analysis in MLB, the NBA, and the NHL," Journal of Sports Economics, , vol. 19(7), pages 911-933, October.
    3. Dominik Schreyer, 2019. "Football spectator no-show behaviour in the German Bundesliga," Applied Economics, Taylor & Francis Journals, vol. 51(45), pages 4882-4901, September.
    4. Besters, Lucas, 2018. "Economics of professional football," Other publications TiSEM d9e6b9b7-a17b-4665-9cca-1, Tilburg University, School of Economics and Management.
    5. Babatunde Buraimo & Giuseppe Migali & Rob Simmons, 2022. "Impacts of the Great Recession on sport: evidence from English Football League attendance demand [US household tourism expenditure and the great recession: an analysis with the consumer expenditure," Oxford Economic Papers, Oxford University Press, vol. 74(1), pages 155-177.
    6. Jigyu Chung & Young Hoon Lee & Joon-Ho Kang, 2016. "Ex Ante and Ex Post Expectations of Outcome Uncertainty and Baseball Television Viewership," Journal of Sports Economics, , vol. 17(8), pages 790-812, December.
    7. Budzinski, Oliver & Feddersen, Arne, 2015. "Grundlagen der Sportnachfrage: Theorie und Empirie der Einflussfaktoren auf die Zuschauernachfrage," Ilmenau Economics Discussion Papers 94, Ilmenau University of Technology, Institute of Economics.
    8. Dominik Schreyer & Sascha L. Schmidt & Benno Torgler, 2019. "Football Spectator No-Show Behavior," Journal of Sports Economics, , vol. 20(4), pages 580-602, May.
    9. Seung C. Ahn & Young H. Lee, 2014. "Major League Baseball Attendance," Journal of Sports Economics, , vol. 15(5), pages 451-477, October.
    10. 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.
    11. Sang Hun Sung & Doo-Seung Hong & Soo Young Sul, 2020. "How We Can Enhance Spectator Attendance for the Sustainable Development of Sport in the Era of Uncertainty: A Re-Examination of Competitive Balance," Sustainability, MDPI, vol. 12(17), pages 1-15, August.
    12. Daniel Read & Aaron C.T. Smith & James Skinner, 2021. "A Comparative Analysis of Competitive Balance Between a Closed and an Open League in Rugby League," Journal of Sports Economics, , vol. 22(8), pages 871-892, December.
    13. Jason P. Berkowitz & Craig A. Depken II & John M. Gandar, 2018. "The Conversion of Money Lines Into Win Probabilities," Journal of Sports Economics, , vol. 19(7), pages 990-1015, October.
    14. Guido M. Kuersteiner & Ingmar R. Prucha, 2020. "Dynamic Spatial Panel Models: Networks, Common Shocks, and Sequential Exogeneity," Econometrica, Econometric Society, vol. 88(5), pages 2109-2146, September.
    15. Hyungsik Roger Moon & Martin Weidner, 2015. "Linear Regression for Panel With Unknown Number of Factors as Interactive Fixed Effects," Econometrica, Econometric Society, vol. 83(4), pages 1543-1579, July.
    16. Rodrigo Schneider & Peter Allmen & Garrett Munck, 2022. "The impact of winter Olympic games participation on NHL attendance," Economics of Governance, Springer, vol. 23(3), pages 253-270, December.
    17. Shi, Wei & Lee, Lung-fei, 2018. "A spatial panel data model with time varying endogenous weights matrices and common factors," Regional Science and Urban Economics, Elsevier, vol. 72(C), pages 6-34.
    18. Robertson, Donald & Sarafidis, Vasilis, 2015. "IV estimation of panels with factor residuals," Journal of Econometrics, Elsevier, vol. 185(2), pages 526-541.
    19. Jinyong Hahn & Ruoyao Shi, 2017. "Synthetic Control and Inference," Econometrics, MDPI, vol. 5(4), pages 1-12, November.
    20. Kelly Goossens, 2006. "Competitive balance in european football: comparison by adapting measures: national measure of seasonal imbalance and Top 3," Rivista di Diritto ed Economia dello Sport, Centro di diritto e business dello Sport, vol. 2(2), pages 77-122, Dicembre.

    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:sae:jospec:v:19:y:2018:i:4:p:583-598. 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: SAGE Publications (email available below). General contact details of provider: .

    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.