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The distribution of wins

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The distribution of wins in professional team sports most consistent with the maximization of league profits. Empirical issues Linear model fits best but is not ... – PowerPoint PPT presentation

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Title: The distribution of wins


1
Competitive Balance
  • The distribution of wins
  • in professional team sports most consistent with
  • the maximization of
  • league profits.

2
Neal, Walter. The Peculiar Economics of
Professional Sports Quarterly Journal of
Economics 78 (February, 1964) 1-14.
  • Louis-Schmelling paradox
  • The inverted joint product or the product joint
  • Joint product - two products technologically
    resulting from a single process.
  • Product joint - An indivisible product from the
    separate processes of two or more firms.
  • Professional baseball produces several
    interrelated streams of utility
  • In-person viewing of the game
  • Broadcasts of games
  • League standing effect
  • Fourth Estate Benefit
  • Conclusion The several joint products which are
    products joint of legally separate business firms
    are really the complex joint products of one
    firm, and this firm is necessarily an
    all-embracing firm or natural monopoly.

3
Neale (1964), cont.
  • Four possible cases of interleague competition
  • Major League Baseball solution the joining of
    two leagues into one monopoly.
  • The professional football solution of the 1940s
    The bankruptcy of one league.
  • Survival of two or more leagues that are not
    economically competitive due to geographic
    distances or the institutions of sport and
    culture.
  • Survival of two or more leagues that are
    economically competitive and which could be
    sportingly competitive.
  • The second case is the most common solution.
    Geographic distances and culture institutions
    seem to be overcome overtime (exception CFL and
    Japanese baseball).
  • In general, additional leagues bid up costs and
    reduce revenues, hence reducing the profitability
    of each league.

4
Uncertainty of Outcome
  • Why is balance important? Uncertainty of
    outcome is crucial to the demand for sporting
    events. The works of Knowles, Sherony and
    Haupert (1992), and Rascher (1999) found that
    Major League Baseball attendance was maximized
    when the probability of the home team winning was
    approximately 0.6. These studies suggest that
    consumers prefer to see the home team win, but do
    not wish to be completely certain this will occur
    prior to the game being played.
  • Knowles, Glenn, Keith Sherony, and Mike Haupert.
    1992. The Demand for Major League Baseball A
    Test of the Uncertainty of Outcome Hypothesis.
    The American Economist, 36, n2, Fall 72-80.
  • Rascher, Daniel. 1999. A Test of the Optimal
    Positive Production Network Externality in Major
    League Baseball. Sports Economics Current
    Research, Edited by John Fizel, Elizabeth
    Gustafson and Lawrence Hadley. Praeger 27-45.

5
Perfect Competitive Balance
  • But do fans want perfect competitive balance?
  • Teams in larger markets generate greater revenue
    from an additional win than teams in smaller
    markets. If marginal cost is the same for all
    teams, then teams in larger markets would
    maximize profits at a higher winning percentage
    than teams in smaller markets.
  • This leads to four questions
  • how do we measure competitive balance?
  • what determines competitive balance?
  • how much competitive balance does a league need?
  • and do fans really care?

6
Measuring Competitive Balance
  • Standard deviation S(PCT actual - PCT
    mean)2/number of teams0.5
  • Idealized standard deviation (if every team was
    equal) (.500)/ N0.5
  • Where N number of games each team plays in a
    season
  •  With a normal bell shaped distribution
  • 2/3 of league will be within one standard
    deviation
  • 95 will be within two standard deviations
  • 99 will be within three standard deviations

7
The Noll-Scully Measure
  • CBit s(wp)itactual/ s(wp)itideal
  • with s(wp)itideal µ(wp)it / vN
  • Where
  • s(wp)it is the standard deviation of winning
    percentages within league (i) in period (t)
  • µ(wp) it is league (i)s mean
  • N is the number of teams

8
What determines competitive balance in
professional sports?
  • Schmidt, Martin B. and David J. Berri. (2003)
    On the Evolution of Competitive Balance The
    Impact of an Increasing Global Search. Economic
    Inquiry, 41(4) 692-704.

9
Competitive Balance in the AL
  • Figure 1 - Noll-Scully Competitive Balance (CBt)
    Measures
  • American League (AL)

10
Competitive Balance in the NL
  • Figure 1 (cont.) - Noll-Scully Competitive
    Balance (CBt) Measures
  • American League (NL)

11
A Simple Empirical Model
  • Table I - OLS Trend Estimates for (CBt)
  • Dependent Variable (Sample - 1911 2000)
  • CBt AL Constant Time
  • 2.742 -0.012 (0.109) (0.002)
  • CBt NL Constant Time
  • 2.439 -0.008 (0.108) (0.002)
  • Standard errors are beneath each coefficient.
  • The results indicate that competitive balance
    improved throughout the 20th century.

12
What explains the pattern?
  • Institutional factors
  • The Reserve Clause
  • Reverse-order draft
  • Free agency
  • Revenue sharing
  • Payroll and Salary Caps
  • Expanding Populations or Talent Compression

13
The Belief in Institutions
  • Consider Commissioner Bud Seligs comment on the
    recent (2002) Major League Baseball labor
    agreement
  • . . . the issue here was competitive balance and
    I feel this deal clearly deals with that.
  • From the news conference announcing the
    agreement, Friday, August 30th, 2002.

14
Major League BaseballsBlue Ribbon Panel
  • Convened to examine
  • The Economic Stability of MLB
  • Competitive Balance in MLB
  • Four members
  • Yale president Richard C. Levin
  • Former Federal Reserve chairman Paul Volcker
  • Former Senator George Mitchell
  • Columnist George Will

15
The Blue Ribbon PanelThe Conclusions
  • a significant disparity exists in the resources
    member teams
  • For example, for the 2000 season the salary of
    the highest paid player in MLB exceeded the
    entire payroll of the Minnesota Twins (BRP 2000
    p. 9).
  • such differences in market size has allowed a
    collection of teams to consistently field
    playoff-contending teams.
  • teams located in smaller-markets are incapable of
    fielding teams that can challenge for post-season
    success. Consequently, for the smaller-market
    teams the outcome of the season is known before
    the season is started.

16
The Blue Ribbon PanelRecommendations
  • The Blue Ribbon Panel recommended a number of
    changes
  • recommended that foreign players be subject to
    the draft
  • teams maintain the rights of draftees beyond the
    one-year period they currently hold.
  • an annual "competitive balance draft," under
    which the eight clubs with the worst records
    could draft players not on the 40-man roster of
    the eight playoff teams.
  • Most of these seem to limit player movement or to
    convey greater rights to Major League Baseball
    teams

17
The Coase-Rottenberg Theorem
  • When there are no transaction costs the
    assignment of legal rights have no effect upon
    the allocation of resources among economic
    enterprises. Stigler (1988)
  • When there are no impediments to the buying and
    selling of playing talent, the assignment of the
    rights to this talent will have no effect upon
    the allocation of players among Major League
    Baseball teams. Rottenberg (1956)

18
On an empirical level
  • the impact of the reverse-order draft in 1965
  • El-Hodiri and Quirk (1971), Demsetz (1972), and
    Quirk and Fort (1992) all found no tangible
    impact
  • Daly and Moore (1981) and Daly (1992) both found
    an improvement
  • the impact of the free agency in 1976
  • Szymanski (2003) examines (20) empirical studies
    on the impact of the introduction of free-agency
    in 1976 on competitive balance and finds that (9)
    estimate an improvement, (4) document a decline
    and (7) found no impact

19
If not institutional factors, what?
  • Evolutionary Biologist Stephen Jay Gould
  • the distribution of athletic talent in a
    population should be normally distributed.
  • At the right-tail of the distribution would lay
    those with the greatest level of athletic ability
    and assuming that there is a bio-mechanical limit
    to potential ability or talent, the athletes in
    the far right-tail tend to be relatively equal.

20
Goulds Hypothesis (Part 1)
  • At the beginning of the 20th century, people
    playing Major League Baseball were only white
    Northeastern American males.
  • The population baseball could draw upon was
    relatively small and correspondingly, there
    existed a large degree of heterogeneity between
    players.
  • As the probability of winning is closely aligned
    with playing talent, such diversity may lead to
    low levels of competitive balance.

21
Goulds Hypothesis (Part 2)
  • As the population of players Major League
    Baseball has to choose from rises, new players
    are added to the population in much the same way,
    i.e., normally.
  • The absolute number of players close to the limit
    would rise and, given player demand, as would the
    average players talent level or ability.
  • The Gould hypothesis, therefore, argues that as
    the talent pool rises greater player homogeneity
    should be observed.

22
Goulds Hypothesis (Part 3)
  • In which case, one should see a corresponding
    rise in the probability of a poor team beating a
    stronger team
  • as the poor team is now stocked with players
    closer in talent to those of the stronger team.
  • Following the theme, increased player demand
    through, for example, expansion should decrease
    competitive balance.
  • Such increased homogeneity in talent reduces
    individual player differences between competing
    teams and therefore would increase the likelihood
    of a less talented team beating a more
    talented team.
  • This suggests that, for example, racial
    integration would increase competitive balance
    because teams were able to choose from a larger
    talent pool.

23
No .400 Hitter since 1941
Player Year Average
Nap Lajoie 1901 0.4265
Joe Jackson 1911 0.4081
Ty Cobb 1911 0.4196
Ty Cobb 1912 0.4087
George Sisler 1920 0.4073
Ty Cobb 1922 0.4011
Rogers Hornsby 1922 0.4013
George Sisler 1922 0.4198
Harry Heilmann 1923 0.4027
Rogers Hornsby 1924 0.4235
Rogers Hornsby 1925 0.4028
Bill Terry 1930 0.4013
Ted Williams 1941 0.4057
24
Cursory Evidence
25
Competitive Balance Across Sports
Sport League Years Avg. Level of CB
Basketball NBA 1967-68 to 1975-76 2.59
ABA 1967-68 to 1975-76 2.60

Baseball AL 1901-2000 2.12
NL 1901-2000 2.08

Hockey NHL 1972-73 to 1978-79 2.59
WHA 1972-73 to 1978-79 1.89

Football NFL 1960-1969 1.57
AFL 1960-1969 1.58

Soccer Bundesliga 1964-95 1.32
NASL, MLS 1967-84, 1996-2000 1.34
26
Baseballs Labor Pool
  • Globalization of baseball is now evident on the
    playing fields in the United States.
  • Players still hail from the traditional areas of
    recruitment, such as the United States, Dominican
    Republic, Puerto Rico, Venezuela, and Cuba
  • Many players from Mexico, Australia, Japan, and
    Korea also play in the Major Leagues. Even such
    countries as Spain, Belgium, the Philippines,
    Singapore, Vietnam, Great Britain, Brazil,
    Nicaragua, and the Virgin Islands have produced
    professional baseball players.
  • In 2000, the number of foreign-born players on
    Major League Baseball rosters was 312,
    constituting 26 percent of all players (Levine et
    al, 2000).

27
Schmidt Berri (2003)
  • Competitive Balance and Major League Baseballs
    Labor Pool are cointegrated
  • MLBs Labor Pool is weakly exogenous
  • Other factors, captured through various dummy
    variables, appear not to be relevant.

28
Back to Perfect Competitive Balance The work of
Stefan Szymanski (from the Western Economic
Association meetings in 2005)Tilting the Playing
Field (less)
29
Empirical specification for model designed to
explain attendance in MLB
  • Data- club attendance, wins, new ballparks,
    strikes, 1978-2003
  • Not capacity constrained
  • Panel regression
  • ? (Attendance)it ? ?i ?t ?i ?
    (winpercentage)it ?Xit ?
  • issues price, alternative functional forms, lags

30
Estimated increase in attendance due a unit
increase in win percentage (e.g. from 50 to
51) American League
31
Estimated increase in attendance due a unit
increase in win percentage (e.g. from 50 to
51) National League
32
Redistributing wins would have big effects
33
Attendance maximising distribution of wins in the
2003 National League
34
Empirical issues
  • Linear model fits best but is not plausible at
    the extremes
  • Almost all observed win percentages lie between
    0.33 and 0.66
  • Capacity constraints may bind at very high win
    percentages
  • Alternative is to fit a quadratic model to the
    linear estimates
  • This approach favours the conventional
    competitive balance justification for restraints

35
Fitting a quadratic model from the linear
estimates
36
American League 2003
37
National League 2003
38
Optimal distribution of wins, American League
2003, quadratic model
39
Impact of optimal win distribution 2001-2003
40
Szymanski Conclusions
  • The impact of wins on attendance varies across
    the league.
  • In other words, fans ask more (or less) of their
    teams in different markets.
  • If Major League Baseball wished to maximize
    league attendance, it would not want perfect
    competitive balance.
  • Attendance would increase with less competitive
    balance (relative to what we see)

41
How does competitive balance impact league
demand? According to Schmidt-Berri (2001)
  • Competitive balance has a larger impact (i.e.
    more competition leads to more demand) the longer
    the time period one considers.
  • In other words, balance across three years has a
    smaller impact than balance over five years.
  • from the article.These results suggest that
    fans may not prefer competitive balance in a
    given season, but over time, the slogan wait
    till next year must remain valid for the teams
    located toward the bottom of the standings

42
more Schmidt and Berri (2001)
  • from The Wages of Wins
  • The largest impact was seen when we looked at
    improvements in our five-year measure. A movement
    from the least competitive five-year measure to
    the highest level of balance would result in
    about 3,500 additional fans per game for each
    team. This works out to a 14 increase in
    attendance. Again, this was the largest impact we
    found. So a very large change in competitive
    balance across the longest time period we
    considered, and 14 is all the oomph we uncover.

43
How does competitive balance impact league
demand? According to Humphreys (2002)
  • from The Wages of Wins
  • Humphreys looked at three measures of competitive
    balance, the Noll-Scully, the Herfindahl-Hirschman
    Index, and Humphreys Competitive Balance Ratio
    (CBR).
  • Humphreys (2002) defines the CBR as follows The
    CBR scales the average time variation in won-loss
    percentage for teams in the league by the average
    variation in won-loss percentages across seasons
    it indicates the relative magnitude of each type
    of variation across a number of seasons (p.
    137).
  • In a model designed to explain league attendance
    Humphreys found that only the CBR was
    statistically significant.
  • Although Humphreys does not address this issue,
    his results suggest that a movement from the
    lowest observed level of balance to the highest
    would increase a teams attendance by 4,000 fans
    per game. Again, that is quite similar to what we
    found with the Gini Coefficient.

44
Competitive Balance Lessons from The Wages of
Wins
  • The measurement of competitive balance should
    focus on outcome in the regular season, not the
    post-season.
  • Relative to its history, baseball is more
    balanced today.
  • Relative to sports like football and soccer,
    baseball is not as balanced. Compared to
    basketball, though, baseball does not have a
    competitive balance problem.
  • Competitive balance appears to be dictated
    primarily by the underlying population of talent,
    not league policy.
  • Although we can find a statistical relationship
    between competitive balance and attendance, the
    estimated economic significance seems quite
    small. Consequently, it is not clear whether the
    fans truly care about the level of balance in a
    league.
  • The relationship between team revenue and wins
    suggests that perfect competitive balance would
    actually lower league revenues.
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