EconPapers    
Economics at your fingertips  
 

Are you hiring Johnny Football or Johnny Doe? Uncertain labour quality and the measurement of monopsony in college football

Matthew Makofske

Applied Economics, 2018, vol. 50, issue 22, 2415-2430

Abstract: I assess monopsony in the college football labour market as it relates to both typical and elite performers, while also accounting for the uncertain performance quality of prospective players who are in this labour market. Existing studies suggest that the marginal revenue product (MRP) of elite collegiate players later drafted into the National Football League (NFL), significantly exceeds their compensation. These comparisons overstate monopsony rents because schools don’t know ex ante which prospects will become these elite performers. Using financial data spanning 2004–2011 from 114 major schools, I estimate the MRP of players sorted into three ex post quality tiers, and find that while eventual NFL draftees generate revenue that significantly exceeds their compensation, a majority of scholarship players do not. Then, using Rivals.com talent ratings of 6,604 prospective players recruited from 2002–2008, I estimate the probability that prospects will reach each ex post quality tier given their ex ante ratings. MRP estimates are adjusted by these conditional probability estimates to reflect the expected MRP of prospects, which allows more appropriate assessment of monopsony rents. I find that schools possess substantially less monopsony power than unadjusted MRP estimates suggest.

Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://hdl.handle.net/10.1080/00036846.2017.1397854 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:taf:applec:v:50:y:2018:i:22:p:2415-2430

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/RAEC20

DOI: 10.1080/00036846.2017.1397854

Access Statistics for this article

Applied Economics is currently edited by Anita Phillips

More articles in Applied Economics from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().

 
Page updated 2025-03-20
Handle: RePEc:taf:applec:v:50:y:2018:i:22:p:2415-2430