Estimating the market value of collegiate football players from professional factor shares

Goff, Brian; Kim, H. Youn; Wilson, Dennis

doi:10.1080/13504851.2016.1178842

Cited by 8 publications

(16 citation statements)

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“…Numerous studies and authors have dealt with the influence of various factors on the final market value of soccer players (Majewski, 2016;Kologlu, et al, 2018;Aregall Abadias, 2016;Moreno-Jiménez & Zaragoza, 2011;Müller, Simons, & Weinmann, 2017;Singh & Lamba, 2019;He, Cachucho, & Knobbe, 2015;Bolgova, et al, 2018;Richau, Follert, & Emrich, 2010;Kiefer, 2012;Herm, Callsen-Bracker, & Kreis, 2014;Goff, Kim, & Wilson, 2017;Kanyinda, Bouteiller, & Karyotis, 2012). According to Majewski (2016), the factors that most influence a soccer player's market value are total goals and "assists", the value of the club that the player plays for, and the player's goodwill and "brand".…”

Section: Social Network and The Market Value Of Soccer Playersmentioning

confidence: 99%

Market potential of TikTok in the context of the communication range of soccer players on social networks

Šíma¹

2021

Auc Kinanthropologica

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The study aims to put the social network TikTok into the context of the marketing attractiveness and potential of soccer players in terms of communication range through social networks. Soccer clubs can assess the expenses of gaining additional followers through a purchased player by an evaluation of the market efficiency of individual soccer players’ followers. The study also documents positive effects ensuing from the acquisition of further followers thanks to the purchase of such a player including image, connection with fans, global reach, additional external funds through sponsorship and the sale of television rights, loyal fans and other so-called “extra-football qualities”. The study thus brings new perspectives on TikTok, as a network which has so far not been thoroughly researched, in the field of the most popular sport in the world, soccer.

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Section: Social Network and The Market Value Of Soccer Playersmentioning

confidence: 99%

Market potential of TikTok in the context of the communication range of soccer players on social networks

Šíma¹

2021

Auc Kinanthropologica

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“…Similarly, we use data on the distribution of salaries in the professional leagues to estimate a potential distribution of salaries for college players. Berri (2016) and Goff, Kim, and Wilson (2016) are some examples of earlier work that takes a similar approach to estimating salaries for college athletes.…”

Section: Iib Previous Research Examining Economic Rents In College mentioning

confidence: 99%

“…We first look at the distribution of salaries for each sport assuming the distribution of salaries relative to the average salary matches the professional league. We then calculate average salary shares for starters and backup players at each position and use these percentages to allocate salaries across positions for college athletes while holding total compensation fixed, following the method developed by Goff, Kim, and Wilson (2016). 51 More information on this procedure can be found in Appendix Section III.…”

Section: Player Compensation Analysismentioning

confidence: 99%

“…12 To understand the scope of available rents in modern sports, we next calculate a potential wage structure for football and men's basketball players. As a benchmark for this analysis we use collective bargaining agreements in professional sports leagues, following the prior work of Berri (2016) and Goff, Kim, and Wilson (2016). We find that such a system would result in substantial payments to these athletes.…”

Section: Introductionmentioning

confidence: 99%

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Who Profits from Amateurism? Rent-Sharing in Modern College Sports

et al. 2020

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for useful comments. We acknowledge financial support from the NSF GRFP under award number DGE-1842165. Any opinions expressed in this paper are those of the authors, and do not necessarily reflect any official positions of the University of Chicago, the University of Michigan, or Northwestern University. The views expressed herein are those of the authors and do not necessarily reflect the views of the National Bureau of Economic Research. NBER working papers are circulated for discussion and comment purposes. They have not been peerreviewed or been subject to the review by the NBER Board of Directors that accompanies official NBER publications.

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“…The caveat is that non-selective schools may not take the time to observe these non-obvious student characteristics.6 In the context of college football scholarship athletes, the players don't necessarily pay out of pocket for cost of attendance, but they do forgo the value they generate while at the school. This opportunity cost is estimated to be a sum at least comparable to college debt, and up to $4 million for star athletes(Goff et al, 2017). 7 See https://collegescorecard.ed.gov/ for published data on cost of attendance, academic records, and earnings by school.…”

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confidence: 99%

Does Attending a More Elite School Lead to Better Labor Market Outcomes?

Brookman¹

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College football prospects in the market for an athletic scholarship face similar career-altering choices as traditional academic students when selecting a college, however, the market they operate in is very different. They are actively recruited by university coaches and closely observed by a college sports scouting industry. Their choice of school is highly anticipated and publicized within college sport culture. College football is no doubt a lucrative industry, particularly for the elite university football programs, but one may want to know if the athletic scholars themselves gain in any career measurable way by attending a more elite university football program. This analysis uses the scouting and coaches screening information to form a baseline control for pre-college ability and then estimates the value-added from choosing a more selective football program by measuring 3 observable football oriented career outcomes: 1) the probability of receiving an invite to the NFL Combine, 2) an objective metric for strength and conditioning, and 3) a player's overall order from the NFL draft. Evidence shows that recruits who choose a more selective university football program have a higher probability of receiving an invite to the NFL Combine. However, once at the Combine, there is no evidence that more selective university football programs produce better athletes based upon standardized strength and conditioning tests. Evidence also suggests that NFL employers utilize the objective information they gain at the NFL Combine in their draft decisions, in which case, the premium enjoyed from the initial Combine invite is attenuated. If NFL teams update the information obtained from the Combine into their draft decisions, then there is no evidence attending a more selective football program generates value-added to a recruit’s ability and thus, their post-college career. Additionally, there is suggestive evidence that highly sought after football recruits are made worse off by the recruiting process in general, holding objective measures of ability constant.

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Estimating the market value of collegiate football players from professional factor shares

Cited by 8 publications

References 9 publications

Market potential of TikTok in the context of the communication range of soccer players on social networks

Market potential of TikTok in the context of the communication range of soccer players on social networks

Who Profits from Amateurism? Rent-Sharing in Modern College Sports

Does Attending a More Elite School Lead to Better Labor Market Outcomes?

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