Abstract

 
 

References (23)



 
 

Citations (2)



 


 



Sub-Perfect Game: Profitable Biases of NBA Referees


Joseph Price


Brigham Young University

Marc Remer


Johns Hopkins University

Daniel F. Stone


Bowdoin College - Department of Economics

April 1, 2009

Journal of Economics and Management Strategy, Forthcoming

Abstract:     
This paper empirically investigates three hypotheses regarding biases of National Basketball Association (NBA) referees. Identification of basketball referee bias is typically difficult as changes in observed statistics may be caused by either changes in referee bias or player behavior. We identify bias by exploiting the fact that referees have varying degrees of discretion over different types of a particular statistic - turnovers. This allows us to conduct a treatment and control-style analysis, using the less discretionary turnovers as the player behavior control. The results provide evidence that referees favor home teams, teams losing during games, and teams losing in playoff series. All three biases are likely to increase consumer demand.

Number of Pages in PDF File: 34

Keywords: Forensic Economics, Referee Bias, National Basketball Association (NBA), Home Bias, Social Pressure

JEL Classification: K42, L12, L83

Accepted Paper Series


Download This Paper

Date posted: April 13, 2009 ; Last revised: April 19, 2011

Suggested Citation

Price, Joseph, Remer, Marc and Stone, Daniel F., Sub-Perfect Game: Profitable Biases of NBA Referees (April 1, 2009). Journal of Economics and Management Strategy, Forthcoming. Available at SSRN: http://ssrn.com/abstract=1377964

Contact Information

Joseph Price
Brigham Young University ( email )
130 FOB
Provo, NY 84604
United States
HOME PAGE: http://www.people.cornell.edu/pages/jpp34/
Marc Remer
Johns Hopkins University ( email )
3400 N. Charles Street
Baltimore, MD 21218
United States
Daniel F. Stone (Contact Author)
Bowdoin College - Department of Economics ( email )
Brunswick, ME 04011
United States
6463387833 (Phone)
Feedback to SSRN (Beta)


Paper statistics
Abstract Views: 3,455
Downloads: 341
Download Rank: 41,337
References:  23
Citations:  2

© 2013 Social Science Electronic Publishing, Inc. All Rights Reserved.  FAQ   Terms of Use   Privacy Policy   Copyright
This page was processed by apollo3 in 0.469 seconds