This file is part of IDEAS, which uses RePEc data


[ Papers | Articles | Software | Books | Chapters | Authors | Institutions | JEL Classification | NEP reports | Search | New papers by email | Author registration | Rankings | Volunteers | FAQ | Blog | Help! ]

Discretionary Behavior and Racial Bias in Issuing Traffic Tickets: Theory and Evidence

Author info | Abstract | Publisher info | Download info | Related research | Statistics
Author Info
Nejat Anbarci () (Department of Economics, Florida International University)
Jungmin Lee () (Department of Economics, Florida International University)

Additional information is available for the following registered author(s):

Abstract

Recently, police departments, legislators, media, and the public at large in the U.S. have increasingly been concerned about racial disparities in officers' issuing traffic tickets. Ascertaining the extent to which an observed disparity reflects racial bias is the crucial issue. First, we use a theoretical model which borrows features from the recent literature regarding racial bias in vehicle searches. In our model, motorists, picking the speed to travel at, take into account the probability of getting ticketed and the speed that the officer will cite, while officers maximize a benefit function generically increasing in the speed of ticketed drivers; this benefit function, however, is general enough to allow officers to give certain drivers a break by citing them at a lower speed than they were traveling. Empirically, we exploit the existence of a massive accumulation of speeding tickets at 10 m.p.h. over the speed limit to elicit officers' discretionary behavior and leniency. Surprisingly,about 30% of all ticketed drivers were cited for driving exactly at this particular speed. Using our novel measure of officers' leniency, we find that especially white and male officers are heavily engaged in discretionary behavior. We also find officers' discretion is racially biased; minority officers are less lenient to minority drivers. This is interesting in comparison with Antonovics and Knight (forthcoming) who, using the same data set, found evidence on own-race preferences in vehicle searches.

Download Info
To download:

If you experience problems downloading a file, check if you have the proper application to view it first. Information about this may be contained in the File-Format links below. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

File URL: http://www.fiu.edu/orgs/economics/wp2008/08-04.pdf
File Format: application/pdf
File Function: First version, 2008
Download Restriction: no

Publisher Info
Paper provided by Florida International University, Department of Economics in its series Working Papers with number 0804.

Download reference. The following formats are available: HTML (with abstract), plain text (with abstract), BibTeX, RIS (EndNote, RefMan, ProCite), ReDIF
Length: 39 pages
Date of creation: Jun 2008
Date of revision:
Handle: RePEc:fiu:wpaper:0804

Contact details of provider:
Postal: Miami, FL 33199
Phone: (305) 348-2316
Fax: (305) 348-1524
Web page: http://www.fiu.edu/orgs/economics/
More information through EDIRC

For technical questions regarding this item, or to correct its listing, contact: (Peter Thompson).

Related research
Keywords: Discretionary behavior; strict behavior; leniency; racial bias; drivers' speeding decision; officers' ticketing and citation decision.;

Find related papers by JEL classification:
J70 - Labor and Demographic Economics - - Labor Discrimination - - - General
K42 - Law and Economics - - Legal Procedure, the Legal System, and Illegal Behavior - - - Illegal Behavior and the Enforcement of Law

This paper has been announced in the following NEP Reports:

Statistics
Access and download statistics

Did you know? The most prolific authors have over 700 items listed on IDEAS.

This page was last updated on 2009-11-3.


This information is provided to you by IDEAS at the Department of Economics, College of Liberal Arts and Sciences, University of Connecticut using RePEc data on a server sponsored by the Society for Economic Dynamics.