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Assessing Racial Profiling

Bibliographic Data

ID9709890
AuthorsSteven N Durlauf (0000-0001-8699-7056, University of Wisconsin, corresponding author)
Year2006
Volume116
Issue515
PagesF402-F426
Publication date2006-11-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueThe Economic Journal (JOURNAL)
Journal identifiersISSN: 0013-0133 • E-ISSN: 1468-0297
PublisherOxford University Press (OUP) (PUBLISHER)
DOI10.1111/j.1468-0297.2006.01129.x
OpenAlexW1969293795
LanguageEN
Citations received17
References cited23

In this article I consider the evaluation of racial profiling in traffic stops from a combination of welfarist and non-welfarist considerations. I argue that benefits from profiling in terms of crime reduction have not been identified and that further, the harm to those who are innocent and stopped is potentially high. I then argue that profiling creates a clear injustice to innocent African Americans. Together, these claims make the assessment of profiling an example of decision making under ambiguity. I resolve the ambiguity with a Fairness Presumption which leads me to reject profiling in traffic stops as a public policy. Copyright 2006 The Author(s). Journal compilation Royal Economic Society 2006

Ambiguity · Criminology · Economics · Harm · Injustice · Political science · Presumption · Profiling (computer programming · Race (biology · Racial profiling · Sociology · Computer Science · Crime Patterns and Interventions · Law · Policing Practices and Perceptions · Social and Intergroup Psychology

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Unique citing works17
Citations per year0,85
Citation span2006 - 2026 (21)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 17

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