Voting Behavior, Discrimination and the National Baseball Hall of Fame

Findlay, David W.; Reid, Clifford E.

doi:10.1111/j.1465-7295.1997.tb02033.x

Cited by 32 publications

(32 citation statements)

References 10 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This research adds to a large literature on racial discrimination in sports, specifically in baseball, going back at least to Pascal and Rapping (1972) and Gwartney and Haworth (1974), with more recent examples being Nardinelli and Simon (1990), Findlay and Reid (1997) and Bradbury (2007). It includes studies of such outcomes as productivity, wages, customers' approbation of players, selection for honors, and others.…”

Section: Introductionmentioning

confidence: 99%

Strike Three: Umpires' Demand for Discrimination

Parsons

Sulaeman

Yates

et al. 2007

View full text Add to dashboard Cite

Standard-Nutzungsbedingungen:Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden.Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen.Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in der dort genannten Lizenz gewährten Nutzungsrechte. The Institute for the Study of Labor (IZA) in Bonn is a local and virtual international research center and a place of communication between science, politics and business. IZA is an independent nonprofit organization supported by Deutsche Post World Net. The center is associated with the University of Bonn and offers a stimulating research environment through its international network, workshops and conferences, data service, project support, research visits and doctoral program. IZA engages in (i) original and internationally competitive research in all fields of labor economics, (ii) development of policy concepts, and (iii) dissemination of research results and concepts to the interested public. Terms of use: Documents in D I S C U S S I O N P A P E R S E R I E SIZA Discussion Papers often represent preliminary work and are circulated to encourage discussion. Citation of such a paper should account for its provisional character. A revised version may be available directly from the author.

show abstract

Section: Introductionmentioning

confidence: 99%

Strike Three: Umpires' Demand for Discrimination

Parsons

Sulaeman

Yates

et al. 2007

View full text Add to dashboard Cite

show abstract

“…The elite card positions are (theoretically) reserved for the elite players and this is precisely the relationship being tested. While some research has indicated racial bias in election to the Pro Baseball HOF (for example Desser et al 1999;Findlay and Reid 1997), our sample includes not only those elected to the Pro Football HOF, but also those appearing on the finalist's roster and this inclusion should aid in mitigating bias if it indeed exists. 6 Another dependent variable was created and tested: the ratio of card points to number of appearances.…”

Section: The Samplementioning

confidence: 99%

Where Are We and How Did We Get Here? Assessing Race, Performance, and Position in Topps Football Card Placement

2007

View full text Add to dashboard Cite

Sports cards may seem to be of little interest to social scientists, but sports cards and card collecting can be a rich and unique source of data for examining the social world. They reveal information not only about those who collect them, but about the society and social conditions under which they are produced. This paper examines a very unique numbering system developed by the Topps Chewing Gum Company (Topps) to differentiate status among the players appearing on the cards in its annual football sets. The system Topps developed assigned a number to each card that designated a player's placement in a set, while simultaneously creating a hierarchical ordering among the players, purportedly based on their performance. Was the ranking of players in the numbering system truly based on performance or on other criteria, such as race? The findings of this study suggest that player position, and to a lesser degree his on-the-field performance, not race, was the main determinant of where he was located in the card set.Keywords Football . Race . Status Sports card collecting began rather accidentally. During the late nineteenth century the tobacco tycoon James Buchanan "Buck" Duke (founder of Duke University) started putting small slips of cardboard into packs of cigarettes to stiffen them to help prevent damage during shipping. Each piece of cardboard had advertising on one J Afr Am St (2008) 12:73-84

show abstract

“…-Peter Gammons (Gammons and Stark, 2007) Past research of modeling MLB's HOF membership typically investigated if racial discrimination existed among voters (Jewell, 2003) (Findlay and Reid, 1997) (Desser, et al, 1999). These studies support that the presence of racial discrimination does not appear to be significant.…”

Section: Introductionmentioning

confidence: 98%

Determining Hall of Fame Status for Major League Baseball Using an Artificial Neural Network

Young¹,

Holland²,

Weckman³

2008

Journal of Quantitative Analysis in Sports

View full text Add to dashboard Cite

Election into Major League Baseball's (MLB) National Hall of Fame (HOF) often sparks debate among the fans, media, players, managers, and other members in the baseball community. Since the HOF members must be elected by a committee of baseball sportswriters and other entities, the prediction of a player's inclusion in the HOF is not trivial to model. There has been a lack of research in predicting HOF status based on a player's career statistics. Many models that were found in a literature search use linear models, which do not provide robust solutions for classification prediction in complex non-linear datasets. The multitude of possible combinations of career statistics is better suited for a non-linear model, like artificial neural networks (ANN). The objective of this research is to create an ANN model which can be used to predict HOF status for MLB players based on their career offensive and defensive statistics as well as the number of career end of the season awards. This research is limited to investigating players who are not pitchers. Another objective of this report is to give the audience of this particular journal an overview of ANNs.

show abstract

Voting Behavior, Discrimination and the National Baseball Hall of Fame

Cited by 32 publications

References 10 publications

Strike Three: Umpires' Demand for Discrimination

Strike Three: Umpires' Demand for Discrimination

Where Are We and How Did We Get Here? Assessing Race, Performance, and Position in Topps Football Card Placement

Determining Hall of Fame Status for Major League Baseball Using an Artificial Neural Network

Contact Info

Product

Resources

About