Racial Position Segregation in Intercollegiate Football
Do Players become more Racially Segregated as they Transition from High School to College
Bibliographic Data
| ID | 10430656 |
|---|---|
| Authors | Joshua D Pitts (0000-0001-5109-9387, Kennesaw State University, corresponding author), Daniel M Yost (D. M. Yost Department of Sport Management, College of Mount St. Joseph, 5701 Delhi Road, Cincinnati, OH 45233, USA) |
| Year | 2012 |
| Volume | 40 |
| Issue | 2 |
| Pages | 207-230 |
| Publication date | 2012-10-10 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | The Review of Black Political Economy (JOURNAL) |
| Journal identifiers | ISSN: 0034-6446 • E-ISSN: 1936-4814 |
| Publisher | SAGE Publishing (PUBLISHER • US) |
| DOI | 10.1007/s12114-012-9149-z |
| OpenAlex | W2022637134 |
| Language | EN |
| Citations received | 13 |
| References cited | 31 |
This study revisits the issue of racial position segregation or racial “stacking” in intercollegiate football. Estimating a probit model, we examine the impact that a player's race has on the probability of him changing positions when he moves from high school to the collegiate ranks. Descriptive statistics of our data reveal significant evidence that racial position segregation is widespread in high school football. The data also offers much information about which players are likely to change positions and the positions that they are likely to switch to when transitioning from high school to college. Most notably, our probit results reveal that African American high school quarterbacks and white high school running backs are significantly more likely to change positions in college than their white and African American counterparts, respectively. Thus, while other positions do not appear to become more racially segregated as players transition from high school to college, the quarterback and running back positions do appear to become significantly more racially segregated
American football · College football · Demographic economics · Descriptive statistics · Econometrics · Economics · Ethnic group · Football · Ordered probit · Political science · Position (finance · Probit · Probit model · Race (biology · Racial differences · Sociology · Statistics · Transition (genetics · White (mutation · Gender Studies · Law · Mathematics · Sport and Mega-Event Impacts · Sports Analytics and Performance · Sports, Gender, and Society
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| Unique citing works | 13 |
|---|---|
| Citations per year | 1,18 |
| Citation span | 2015 - 2025 (11) |
| Citation velocity | recent |
| Highly cited | No |
| Citation types | Neutral: 13 |