RACE, DRUGS, AND POLICING: UNDERSTANDING DISPARITIES IN DRUG DELIVERY ARRESTS*
By K. Beckett, Kris Nyrop, Lori Pfingst. 2006
402 citations recorded by the source corpus.
Subfields: Political Science and International Relations, Sociology and Political Science
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In Political Science and International Relations
In Sociology and Political Science
- Michael Caudy
- Roland G. Fryer
- George O. Mohler
- P. Jeffrey Brantingham
- Steven D. Levitt
- Francesca Dominici
- Matthew B. Robinson
- Sung-hoon Roh
Citations in the corpus
- All Models are Wrong, but Many are Useful: Learning a Variable’s Importance by Studying an Entire Class of Prediction Models Simultaneously (2018, background): “In the case of recidivism, if arrest rates across demographic groups are not representative of underlying crime rate (Beckett et al., 2006; Ramchand et al., 2006; U.S. Department of Justice - Civil Rights Devision, 2016), then bias can be created in both (1) the outcome variable, future crime, which”
- Examining Racial Disparities in Drug Arrests (2015, background): “A recent project by Katherine Beckett and colleagues made such an inference after examining racial bias in drug possession arrests (Beckett et al., 2005) and drug distribution arrests (Beckett et al., 2006) in Seattle, Washington.”
- All Models are Wrong but many are Useful: Variable Importance for Black-Box, Proprietary, or Misspecified Prediction Models, using Model Class Reliance (2018, background): “In the case of recidivism, if arrest rates across demographic groups are not representative of underlying crime rate (Beckett et al., 2006; Ramchand et al., 2006; U.S. Department of Justice - Civil Rights Devision, 2016), then bias can be created in both (1) the outcome variable, future crime, which”
- Does Predictive Policing Lead to Biased Arrests? Results From a Randomized Controlled Trial (2018, background): “pedestrian stops [18, 19, 25, 26, 27, 49, 59], traffic tickets [16], drug enforcement and arrests [7, 9, 33, 38, 57], use of force [45, 13, 35, 51], and even in the decision to shoot white or black criminal suspects while in a training simulator [24, 47].”
- MEASURING CRACK COCAINE AND ITS IMPACT (2013, background): “Recent work by Beckett, Nyrop, and Pfingst (2006) in fact argues that Seattle has an acute crack problem relative to other cities. where CrackIndex is one of the crack indices we estimated above, and s corresponds to a geographic area (either national, state, or city), and t represents time.”
- A Geographic Approach to Racial Profiling (2009, background): “…arrests found that nearly two-thirds of arrestees were black even though the only drug for which blacks made up a majority of dealers was crack cocaine; the majority of those involved in dealing methamphetamine, ecstasy, powder cocaine, and heroin were white (Beckett, Nyrop, and Pfingst, 2006).”