EconPapers    
Economics at your fingertips  
 

Crime Minimization and Racial Bias: What Can We Learn From Police Search Data?

Jeff Dominitz and John Knowles

PIER Working Paper Archive from Penn Institute for Economic Research, Department of Economics, University of Pennsylvania

Abstract: Are variations in the success rate of searches by race informative about racial bias if police are motivated by crime minimization rather than success-rate maximization? We show that the basic idea of extracting information from hit rates may still be valid, provided one can verify some simple restrictions on the joint distribution of criminality by race. We also extend these results to the case where the police minimize the rate of unpunished crime.

JEL-codes: J15 K42 (search for similar items in EconPapers)
Pages: 43 pages
Date: 2005-02-18
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)

Downloads: (external link)
https://economics.sas.upenn.edu/sites/default/file ... ng-papers/05-019.pdf (application/pdf)

Related works:
Journal Article: Crime minimisation and racial bias: what can we learn from police search data? (2006)
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:pen:papers:05-019

Access Statistics for this paper

More papers in PIER Working Paper Archive from Penn Institute for Economic Research, Department of Economics, University of Pennsylvania 133 South 36th Street, Philadelphia, PA 19104. Contact information at EDIRC.
Bibliographic data for series maintained by Administrator (pier@econ.upenn.edu).

 
Page updated 2025-04-01
Handle: RePEc:pen:papers:05-019