Factors Affecting Attendance of Major League Baseball: Revisited

Denaux, Zulal S.; Denaux, David A.; Yalcin, Yeliz

doi:10.1007/s11293-011-9274-2

Cited by 16 publications

(21 citation statements)

References 15 publications

(25 reference statements)

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“…Among others, additional attendance drivers are the day and time of a game, promotions, weather conditions, newly constructed stadiums, and city and population characteristics (e.g. Denaux et al, 2011;Winfree et al, 2004).…”

Section: Predicting Game Attendance and Determinants Of Demandmentioning

confidence: 99%

“…Frequently employed models in predicting attendance are linear regression methods such as OLS, and censored-normal regression models since stadium capacity limits game attendance Denaux et al, 2011;. A commonly applied variable transformation is the natural logarithm of game attendance, and some studies consider interaction terms between certain predictors, e.g.…”

Section: Predicting Game Attendance and Determinants Of Demandmentioning

confidence: 99%

“…J. Borland & Macdonald, 2003;Denaux et with additional factors such as game importance, fan rivalries, and media coverage (Forrest et al, 2005).…”

Section: Introductionmentioning

confidence: 99%

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Pre- and within-season attendance forecasting in Major League Baseball: a random forest approach

Mueller

2020

Applied Economics

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This study explores the forecasting of Major League Baseball game ticket sales and identifies important attendance predictors by means of random forests that are grown from classification and regression trees (CART) and conditional inference trees. Unlike previous studies that predict sport demand, I consider different forecasting horizons and only use information that is publicly accessible in advance of a game or season. Models are trained using data from 2013 to 2014 to make predictions for the 2015 regular season. The static within-season approach is complemented by a dynamic month-ahead forecasting strategy. Out-of-sample performance is evaluated for individual teams and tested against least-squares regression and a naive lagged attendance forecast. My empirical results show high variation in team-specific prediction accuracy with respect to both models and forecasting horizons. Linear and tree-ensemble models, on average, do not vary substantially in predictive accuracy; however, OLS regression fails to account for various team-specific peculiarities.

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Section: Predicting Game Attendance and Determinants Of Demandmentioning

confidence: 99%

Section: Predicting Game Attendance and Determinants Of Demandmentioning

confidence: 99%

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Pre- and within-season attendance forecasting in Major League Baseball: a random forest approach

Mueller

2020

Applied Economics

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“…The operation of major league baseball (MLB) teams is a very complex enterprise involving the marketing of a diverse multi-dimensional entertainment commodity (Quirk and Fort 1992;Burger and Walters 2003;Denaux et al 2011).…”

Section: Introductionmentioning

confidence: 99%

“…Arguably, such variables are needed to control for the fact that families are more likely to attend games on certain days of the week, especially Friday and Saturday, when the working adults in the family are relatively more available, than other days of the week (Denaux et al 2011). In addition, families are more likely to attend games during those months of the season when their children are out of school.…”

Section: Introductionmentioning

confidence: 99%

The Impacts of Promotions/Marketing, Scheduling, and Economic Factors on Total Gross Revenues for Minor League Baseball Teams

et al. 2013

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The purpose of this empirical study is to identify the key marketing and scheduling determinants of game attendance at minor league baseball games. Identification of such marketing and scheduling factors can provide the management of minor league teams in similar environments with information to more efficiently pursue the goal of game attendance maximization. To ensure greater comparability of data between teams and hence relevance of results, this study focuses upon a single grouping of teams, the Carolina League, and a single minor league baseball season, 2006. The Carolina League consists of eight teams serving eight metropolitan areas:

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A panel data analysis of the impacts of regional economic factors, marketing and promotions, and team performance on minor league baseball attendance

Cebula

2013

Ann Reg Sci

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Factors Affecting Attendance of Major League Baseball: Revisited

Abstract: Long-run demand attendance, Major League Baseball, Panel estimation, L83, C23,

Cited by 16 publications

References 15 publications

Pre- and within-season attendance forecasting in Major League Baseball: a random forest approach

Pre- and within-season attendance forecasting in Major League Baseball: a random forest approach

The Impacts of Promotions/Marketing, Scheduling, and Economic Factors on Total Gross Revenues for Minor League Baseball Teams

A panel data analysis of the impacts of regional economic factors, marketing and promotions, and team performance on minor league baseball attendance

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