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Did the AFL Equalisation Policy Achieve the Evenness of the League?

Author

Listed:
  • Virginie Masson

    (School of Economics, University of Adelaide)

  • Nicholas Sim

    (School of Economics, University of Adelaide)

  • Luke Wedding

    (School of Economics, University of Adelaide)

Abstract

In this paper, we investigate whether the Australian Football League (AFL) intervention policies coincided with a more even-playing field in the league, as captured by individual match margins. We find that only two out of the eight major policies implemented over the last hundred years are correlated with lower margin. All other policies are at best ineffectual, and at worst, potentially damaging to the evenness the AFL strives to achieve.

Suggested Citation

  • Virginie Masson & Nicholas Sim & Luke Wedding, "undated". "Did the AFL Equalisation Policy Achieve the Evenness of the League?," School of Economics and Public Policy Working Papers 2013-11, University of Adelaide, School of Economics and Public Policy.
    • Handle: RePEc:adl:wpaper:2013-11
    as

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    File URL: https://media.adelaide.edu.au/economics/papers/doc/wp2013-11.pdf
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    References listed on IDEAS

    as
    1. repec:bla:scotjp:v:47:y:2000:i:4:p:422-30 is not listed on IDEAS
    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. Koenker,Roger, 2005. "Quantile Regression," Cambridge Books, Cambridge University Press, number 9780521845731, Enero.
    4. Simon Rottenberg, 1956. "The Baseball Players' Labor Market," Journal of Political Economy, University of Chicago Press, vol. 64(3), pages 242-242.
    5. Andrew Larsen & Aju J. Fenn & Erin Leanne Spenner, 2006. "The Impact of Free Agency and the Salary Cap on Competitive Balance in the National Football League," Journal of Sports Economics, , vol. 7(4), pages 374-390, November.
    6. Stefan Késenne, 2000. "The Impact of Salary Caps in Professional Team Sports," Scottish Journal of Political Economy, Scottish Economic Society, vol. 47(4), pages 422-430, September.
    7. Allen R. Sanderson & John J. Siegfried, 2003. "Thinking about Competitive Balance," Journal of Sports Economics, , vol. 4(4), pages 255-279, November.
    8. Liam J. A. Lenten, 2009. "Unobserved Components in Competitive Balance and Match Attendances in the Australian Football League, 1945–2005: Where is all the Action Happening?," The Economic Record, The Economic Society of Australia, vol. 85(269), pages 181-196, June.
    9. Newey, Whitney K & Powell, James L, 1987. "Asymmetric Least Squares Estimation and Testing," Econometrica, Econometric Society, vol. 55(4), pages 819-847, July.
    10. Jones, M. C., 1994. "Expectiles and M-quantiles are quantiles," Statistics & Probability Letters, Elsevier, vol. 20(2), pages 149-153, May.
    11. Ross Booth, 2004. "The Economics Of Achieving Competitive Balance In The Australian Football League, 1897–2004," Economic Papers, The Economic Society of Australia, vol. 23(4), pages 325-344, December.
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    More about this item

    JEL classification:

    • C01 - Mathematical and Quantitative Methods - - General - - - Econometrics
    • L83 - Industrial Organization - - Industry Studies: Services - - - Sports; Gambling; Restaurants; Recreation; Tourism

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