Examining Determinants of Major League Baseball Attendance
Posted: Saturday, July 12, 2008
by Alex Masciantonio
Professional baseball's reliance on statistical performance measurements is hardly surreptitious. From batting average with runners in scoring position to strikeouts per nine innings, the game's protracted regular seasons-which consist of over 160 contests per team each year-compel talent evaluators to employ both idyllic and intricate metrics in appraising on-field effectiveness. It is reasonable to surmise, then, that a measure for predicting stadium turnout also exists for this data-dependent game.
Before further explicating potential qualitative influences on ballpark turnout, an inspection of the surprisingly trivial relationship between stadium participation and clubs' on-field effectiveness is vital. To compensate for divergent arena capacities among the thirty MLB teams and utilizing data compiled by ESPN.com and BallparksofBaseball.com, this portion of the study compares the average proportion of occupied stadium capacity to each squad's average quantity of victories for the 2005, 2006, and 2007 regular seasons. Selected regression results for this comparison are illustrated below.
| Multiple R
|
0.5636
|
|||
| R Square
|
0.3177
|
|||
| Standard Error
|
0.1410
|
|||
| F Statistic
|
0.0012
|
|||
|
|
Coefficients
|
Standard Error
|
t Stat
|
P-value
|
| Intercept
|
-0.2468
|
0.2638
|
-0.9356
|
0.3575
|
| Average Wins
|
0.0117
|
0.0032
|
3.6104
|
0.0012
|
Akin to their indifference to competitive performance, professional baseball onlookers are inclined to disregard the cash outlay associated with each ballpark visit. The following regression results, constructed incorporating data garnered by ESPN.com and TeamMarketing.com, depict the flaccid connection between attendance rates and average ticket price during the highlighted period.
| Multiple R
|
0.6755
|
|||
| R Square
|
0.4563
|
|||
| Standard Error
|
0.1259
|
|||
| F Statistic
|
0.0000
|
|||
| Coefficients
|
Standard Error
|
t Stat
|
P-value
| |
| Intercept
|
0.3186
|
0.0822
|
3.8752
|
0.0006
|
| Average Ticket Price
|
0.0174
|
0.0036
|
4.8472
|
0.0000
|
Despite ticket price's relative supremacy to team performance in baseball supporters' cognizance, each measure's futility in expounding MLB arena assemblage figures suggests that other factors, previously overlooked in this analysis, strongly influence prospective spectators' decisions. For example, franchises' administrative aspects, such as marketing and public relations aptitude, likely sway fans' behavior. The Boston Red Sox, for instance, now commission social events, such as weddings and bar mitzvahs, within Fenway Park to augment the team's and stadium's "brand" (Batterson). Moreover, baseball supporters likely heed distinctive stadium characteristics, including locale and amenities, when contemplating participation. It is the attendance-seeking MLB franchise's task, then, to balance these diverse on- and off-field cogent factors, while remaining both cost-effective and loyal to extant devotees. But, given that one-third of MLB's clubs possessed average occupied stadium capacity rates below 60 percent over the past three seasons, this endeavor appears simpler to promulgate than properly execute.
Ballparks of Baseball. 2008. June 2008 <http://www.ballparksofbaseball.com/>.
Batterson, Mark. "More Than Baseball, Marketing the Park Fenway Transformed As,
year-round Attraction." Corporate Connecticut. 5 July
2008 <http://www.corpct.com/editors_picks/fenway/fenway.php>.
"Major League Baseball Fan Cost Index." Team Marketing Report.
InfinityProSports.Com. June 2008 <http://teammarketing.com/fancost/mlb/>.
"MLB Stats." ESPN. 2008. June-July 2008 <ESPN.com>.
Wendel, Tim. "The Rise of the Fair-Weather Fan." USATODAY.Com. 1 Nov. 2005. June
July 2008 <http://www.usatoday.com/news/opinion/editorials/2005-11-01-fans
edit_x.htm>.
Zirin, Dave. "Fickle Fans." SI.Com. 25 Oct. 2007. CNN. June-July 2008
<http://sportsillustrated.cnn.com/2007/writers/dave_zirin/10/25/fickle.fan/index.html>.
This article was exactly what I was looking for! Great work!
Have you been able to find yearly, average tickets prices anywhere?
Yes, refer to the third reference item.
You ran simple OLS regressions with one explainitory variable in an attempt to explain the determinants of MLB attendance? You also use R-squared as an explaination of the variables "significance". You probably should have run a panel regression, namely fixed effects to control for unexplained differences in teams. I recently ran a FE regression with a few more explainitory variables and got a very large and statiscically significant win percentage effect on per game attendance.