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

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

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.

Suggested Citation

  • Cubitt, Timothy I.C. & Gaub, Janne E. & Holtfreter, Kristy, 2022. "Gender differences in serious police misconduct: A machine-learning analysis of the New York Police Department (NYPD)," Journal of Criminal Justice, Elsevier, vol. 82(C).
    • Handle: RePEc:eee:jcjust:v:82:y:2022:i:c:s0047235222000964
    DOI: 10.1016/j.jcrimjus.2022.101976
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    References listed on IDEAS

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    1. Swamy, Anand & Knack, Stephen & Lee, Young & Azfar, Omar, 2001. "Gender and corruption," Journal of Development Economics, Elsevier, vol. 64(1), pages 25-55, February.
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    Cited by:

    1. Juan David Gelvez, 2025. "Predicting police and military violence: evidence from Colombia and Mexico using machine learning models," Palgrave Communications, Palgrave Macmillan, vol. 12(1), pages 1-13, December.

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