Cited by 873Policing Practices and PerceptionsCriminal Justice and Corrections AnalysisEducation Discipline and Inequality

An Analysis of the New York City Police Department's “Stop-and-Frisk” Policy in the Context of Claims of Racial Bias

Open access
Gelman, Andrew, Fagan, Jeffrey, Kiss, Alex·2007·Journal of the American Statistical Association

Abstract

Recent studies by police departments and researchers confirm that police stop persons of racial and ethnic minority groups more often than whites relative to their proportions in the population. However, it has been argued that stop rates more accurately reflect rates of crimes committed by each ethnic group, or that stop rates reflect elevated rates in specific social areas, such as neighborhoods or precincts. Most of the research on stop rates and police–citizen interactions has focused on traffic stops, and analyses of pedestrian stops are rare. In this article we analyze data from 125,000 pedestrian stops by the New York Police Department over a 15-month period. We disaggregate stops by police precinct and compare stop rates by racial and ethnic group, controlling for previous race-specific arrest rates. We use hierarchical multilevel models to adjust for precinct-level variability, thus directly addressing the question of geographic heterogeneity that arises in the analysis of pedestrian stops. We find that persons of African and Hispanic descent were stopped more frequently than whites, even after controlling for precinct variability and race-specific estimates of crime participation.

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  • Gelman, Fagan, and Kiss (2007) produce estimates that-by the authors' calculations-imply 32% of black-civilian stops made by the NYPD could not be explained even by differential criminality between racial groups of suspects, as proxied by prior arrest rates.

    “Using the SQF data and controlling for precinct, suspected crime, and prior local arrest rates by race, Gelman, Fagan, and Kiss (2007) produce estimates that -by our calculations -imply 32% of black-civilian stops made by the NYPD could not be explained even by differential criminality between racial groups of suspects, as proxied by prior arrest rates.”

    From Administrative Records Mask Racially Biased Policing (2020) · cites this paper as Gelman, Fagan, and Kiss (2007)

    Section 5.1 reports estimates by suspected crime and precinct showing that, relative to prior arrests, Black civilians were stopped more often than white civilians for the most common stop categories. Section 6 concludes that prior arrest rates and precinct do not explain the disparities. The cited paper does not give or verify the citing authors’ calculation that 32% of all Black-civilian stops were unexplained. (LLM, conf=0.81)

    Experimental — accuracy not yet measured
  • These stops and searches are less likely to lead to a finding of contraband or arrest, indicating poorer accuracy (lower hit rates) when young minority men are targeted.

    “These stops and searches are less likely to lead to a finding of contraband or arrest, indicating poorer accuracy (lower hit rates) when young minority men are targeted (Gelman, Fagan, and Kiss 2007;Goel et al. 2017).”

    From Body Cameras, Big Data, and Police Accountability (2018) · cites this paper as Gelman, Fagan, and Kiss 2007

    Section 5.3 (page unavailable) reports that stops of Black and Hispanic people were less likely than stops of white people to lead to arrest, describing the former as less efficient. It does not report a comparable contraband-finding rate or establish this result specifically for young minority men. (LLM, conf=0.88)

    Experimental — accuracy not yet measured
  • Black individuals are more likely to be stopped by police than White individuals, even after a variety of statistical controls have been applied.

    “Both recent and decade-old data show that Black individuals are more likely to be stopped by police than White individuals (Fryer, 2016; Gelman et al., 2007; Miller et al., 2017; U.S. Department of Justice, 2016), even after a variety of statistical controls have been applied.”
  • If a civilian's race affects whether officers choose to stop that civilian, then analyzing administrative police records amounts to conditioning on a variable that is itself affected by suspect race.

    “If a civilian ' s race affects whether of fi cers choose to stop that civilian (Gelman, Fagan, and Kiss 2007; Glaser 2014), then analyzing administrative police records amounts to conditioning on a variable that is itself affected by suspect race, namely, whether a suspect appears in the data at all.”

    From Administrative Records Mask Racially Biased Policing (2020) · cites this paper as Gelman, Fagan, and Kiss 2007

  • The analytic approach of Gelman, Fagan, and Kiss (2007) most likely underestimates the proportion of racially discriminatory stops, so the implied value of r is conservative.

    “This analytic approach most likely underestimates the proportion of racially discriminatory stops -the number of prior arrests in a precinct and racial group is not a direct measure of criminality, but is itself likely contaminated by discrimination in previous detainments and arrests. We,therefore, regard the value of r implied by Gelman, Fagan, and Kiss (2007) as conservative.”

    From Administrative Records Mask Racially Biased Policing (2020) · cites this paper as Gelman, Fagan, and Kiss (2007)

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Cites

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Cited by

Sorted by citations

Authors
Gelman, A., Fagan, J., & Kiss, A.
Affiliations
Sunnybrook Health Science Centre (CA)
Venue
Journal of the American Statistical Association
Published
2007-09
Volume
102
Issue
479
Pages
813-823
ISSN
  • 0162-1459 (ISSN-L)
  • 1537-274X
OpenAlex
W1996272633
Cited by
873
References
3
Citations by year
2026: 45 · 2025: 69 · 2024: 54 · 2023: 72 · 2022: 88 · 2021: 91 · 2020: 80 · 2019: 75 · 2018: 71 · 2017: 53 · 2016: 53 · 2015: 37 · 2014: 30 · 2013: 12 · 2012: 19
FWCI
39.33
Type
journal article
Language
en
Open access
Locations
Journal of the American Statistical Association (publishedVersion)
Topics
  • Social Sciences › Political Science and International Relations › Policing Practices and Perceptions
  • Social Sciences › Sociology and Political Science › Criminal Justice and Corrections Analysis
  • Social Sciences › Education › Education Discipline and Inequality
Keywords
stop and frisk, racial bias in policing, pedestrian stops, African Americans, Hispanic Americans, police precincts, crime rates, police-citizen interaction, New York City Police Department

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