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  5. Race and National Football League Player Salaries After Controlling for Fantasy Statistics and Arrests
 
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Race and National Football League Player Salaries After Controlling for Fantasy Statistics and Arrests

Author(s)
Jepsen, Christopher  
Jepsen, Lisa K.  
Draisey, Trevor  
Mahoney, Josh  
Uri
http://hdl.handle.net/10197/24983
Date Issued
2021-05-01
Date Available
2023-11-15T16:22:41Z
Abstract
This paper provides a novel contribution to studies of race and labor-market outcomes by using fantasy football statistics as a measure of performance across offensive skill positions and arrest data as a proxy for negative off-the-field behavior. We investigate whether the determinants of salaries and employment vary between 2005-06 and 2015-16, as the 2011 collective bargaining agreement (CBA) introduced extensive regulation of rookie contracts. As expected, fantasy football statistics are strong predictors of salaries and employment in both time periods, whereas race and arrests are not. Fantasy statistics and experience have diminishing marginal returns for both outcomes.
Type of Material
Journal Article
Publisher
SAGE Publications
Journal
Journal of Sports Economics
Volume
22
Issue
4
Start Page
359
End Page
386
Copyright (Published Version)
2020 the Authors
Subjects

Productivity

Discrimination

Salary

National Football Lea...

Compensation

Collective Bargaining...

Quantile regression

DOI
10.1177/1527002520975823
Language
English
Status of Item
Peer reviewed
ISSN
1527-0025
This item is made available under a Creative Commons License
https://creativecommons.org/licenses/by-nc-nd/3.0/ie/
File(s)
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JSE-18-0167R Complete Text.pdf

Size

306.62 KB

Format

Adobe PDF

Checksum (MD5)

cdab08c81d548439ecc0f101f2db3603

Owning collection
Economics Research Collection

Item descriptive metadata is released under a CC-0 (public domain) license: https://creativecommons.org/public-domain/cc0/.
All other content is subject to copyright.

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