Gender differences in serious police misconduct: A machine-learning analysis of the New York Police Department (NYPD)

Timothy I.C. Cubitt, Janne E. Gaub and Kristy Holtfreter

Journal of Criminal Justice, 2022, vol. 82, issue C

Abstract: Despite a considerable body of research on police misconduct, findings have been mixed, with little consensus regarding its causes and best practices for prevention. Emerging research has focused on the role of gender in understanding and preventing misconduct. The current study examines the extent to which the features associated with serious misconduct differ between male and female officers.

Keywords: Policing; Misconduct; Machine learning; Gender; NYPD (search for similar items in EconPapers)
Date: 2022
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Persistent link: https://EconPapers.repec.org/RePEc:eee:jcjust:v:82:y:2022:i:c:s0047235222000964

DOI: 10.1016/j.jcrimjus.2022.101976

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