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A partial assessment of South Carolina's Project Safe Neighborhoods strategy: Evidence from a sample of supervised offenders

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  • Barnes, J.C.
  • Kurlychek, Megan C.
  • Miller, Holly Ventura
  • Miller, J. Mitchell
  • Kaminski, Robert J.

Abstract

Since 2001, the federal Project Safe Neighborhoods initiative has instituted a comprehensive effort to reduce gun crimes in local communities across the United States. In South Carolina, the United States Attorney's Office for the District of South Carolina established Project CeaseFire, a localized response to reduce the prevalence of gun crime through targeted prosecution and increased public education. One element of Project CeaseFire was carried out by the South Carolina Department of Probation, Parole, and Pardon Services. The current study utilized a quasi-experimental design to compare firearm-related incidents among a random sample of offenders under community supervision prior to and after the implementation of the SCDPPPS CeaseFire program. Although incidents involving a firearm were rare, the current results did not indicate a reduction in firearm-related incidents among offenders entering supervision after the SCDPPPS CeaseFire program was implemented. Instead, an increase in firearm incidents was observed after CeaseFire implementation. Possible explanations for the observed results are offered along with limitations to the study and policy implications.

Suggested Citation

  • Barnes, J.C. & Kurlychek, Megan C. & Miller, Holly Ventura & Miller, J. Mitchell & Kaminski, Robert J., 2010. "A partial assessment of South Carolina's Project Safe Neighborhoods strategy: Evidence from a sample of supervised offenders," Journal of Criminal Justice, Elsevier, vol. 38(4), pages 383-389, July.
    • Handle: RePEc:eee:jcjust:v:38:y::i:4:p:383-389
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    References listed on IDEAS

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    1. Andrew V. Papachristos & Tracey L. Meares & Jeffrey Fagan, 2007. "Attention Felons: Evaluating Project Safe Neighborhoods in Chicago," Journal of Empirical Legal Studies, John Wiley & Sons, vol. 4(2), pages 223-272, July.
    2. King, Gary & Zeng, Langche, 2001. "Logistic Regression in Rare Events Data," Political Analysis, Cambridge University Press, vol. 9(2), pages 137-163, January.
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