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Racial Bias in Motor Vehicle Searches: Additional Theory and Evidence Author info | Abstract | Publisher info | Download info | Related research | Statistics Dhammika Dharmapala (University of Connecticut)
Stephen L. Ross (University of Connecticut)
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Knowles, Persico, and Todd (2001) develop a model of police search and offender behavior. Their model implies that if police are unprejudiced the rate of guilt should not vary across groups. Using data from Interstate 95 in Maryland, they find equal guilt rates for African-Americans and whites and conclude that the data is not consistent with racial prejudice against African-Americans. This paper generalizes the model of Knowles, Persico, and Todd by accounting for the fact that potential offenders are frequently not observed by the police and by including two different levels of offense severity. The paper shows that for African-American males the data is consistent with prejudice against African-American males, no prejudice, and reverse discrimination depending on the form of equilibria that exists in the economy. Additional analyses based on stratification by type of vehicle and time of day were conducted, but did not shed any light on the form of equilibria that best represents the situation in Maryland during the sample period.
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Paper provided by University of Connecticut, Department of Economics in its series Working papers with number
2003-12.
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Length: 25 pages
Date of creation: Apr 2003Date of revision:
Dec 2003Handle: RePEc:uct:uconnp:2003-12Note: Acknowledgments: We would like to thank John Knowles and the Maryland ACLU for kindly providing the data.Contact details of provider: Postal: University of Connecticut 341 Mansfield Road, Unit 1063 Storrs, CT 06269-1063 Phone: (860) 486-4889 Fax: (860) 486-4463 Web page: http://www.econ.uconn.edu/ More information through EDIRC
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Shamena Anwar & Hanming Fang, 2005.
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Full
references Cited by : (explanations , Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile , click on "citations" and make appropriate adjustments.)
Billy Close & Patrick Mason, 2007.
"Searching for Efficient Enforcement: Officer Characteristics and Racially Biased Policing ,"
Review of Law & Economics ,
Berkeley Electronic Press, vol. 3(2), pages 5.
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Mason, Patrick L., 2007.
"Driving while black: do police pass the test? ,"
MPRA Paper
11328, University Library of Munich, Germany.
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Rubén Hernández-Murillo & John Knowles, 2004.
"Racial profiling or racist policing? bounds tests in aggregate data ,"
Working Papers
2004-012, Federal Reserve Bank of St. Louis.
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Other versions: Nicola Persico & Petra Todd, 2005.
"Using Hit Rates to Test for Racial Bias in Law Enforcement: Vehicle Searches in Wichita ,"
PIER Working Paper Archive
05-004, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
[Downloadable!]
Shamena Anwar & Hanming Fang, 2004.
"An Alternative Test of Racial Prejudice in Motor Vehicle Searches: Theory and Evidence ,"
Cowles Foundation Discussion Papers
1464, Cowles Foundation, Yale University.
[Downloadable!]
Other versions:
Shamena Anwar & Hanming Fang, 2005.
"An Alternative Test of Racial Prejudice in Motor Vehicle Searches: Theory and Evidence ,"
NBER Working Papers
11264, National Bureau of Economic Research, Inc.
[Downloadable!] (restricted) Shamena Anwar & Hanming Fang, 2006.
"An Alternative Test of Racial Prejudice in Motor Vehicle Searches: Theory and Evidence ,"
American Economic Review ,
American Economic Association, vol. 96(1), pages 127-151, March.
[Downloadable!] Kate L. Antonovics & Brian G. Knight, 2004.
"A New Look at Racial Profiling: Evidence from the Boston Police Department ,"
NBER Working Papers
10634, National Bureau of Economic Research, Inc.
[Downloadable!] (restricted)
Other versions: Nicola Persico & Petra Todd, 2004.
"Using Hit Rate Tests to Test for Racial Bias in Law Enforcement: Vehicle Searches in Wichita ,"
NBER Working Papers
10947, National Bureau of Economic Research, Inc.
[Downloadable!] (restricted)
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