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The Effects of Local Police Surges on Crime and Arrests in New York City

机译:纽约当地警察激增对犯罪和逮捕的影响

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摘要

The New York Police Department (NYPD) under Operation Impact deployed extra police officers to high crime areas designated as impact zones. Officers were encouraged to conduct investigative stops in these areas. City officials credited the program as one of the leading causes of New York City’s low crime rate. We tested the effects of Operation Impact on reported crimes and arrests from 2004 to 2012 using a difference-in-differences approach. We used Poisson regression models to compare differences in crime and arrest counts before and after census block groups were designated as impact zones compared to census block groups in the same NYPD precincts but outside impact zones. Impact zones were significantly associated with reductions in total reported crimes, assaults, burglaries, drug violations, misdemeanor crimes, felony property crimes, robberies, and felony violent crimes. Impact zones were significantly associated with increases in total reported arrests, arrests for burglary, arrests for weapons, arrests for misdemeanor crimes, and arrests for property felony crimes. Impact zones were also significantly associated with increases in investigative stops for suspected crimes, but only the increase in stops made based on probable cause indicators of criminal behaviors were associated with crime reductions. The largest increase in investigative stops in impact zones was based on indicators of suspicious behavior that had no measurable effect on crime. The findings suggest that saturating high crime blocks with police helped reduce crime in New York City, but that the bulk of the investigative stops did not play an important role in the crime reductions. The findings indicate that crime reduction can be achieved with more focused investigative stops.
机译:纽约市警察局(Impact Operation)下的纽约警察局(New York Police Department)派出了额外的警察到指定为影响区的高犯罪率地区。鼓励官员在这些地区进行调查。纽约市官员认为该计划是纽约市犯罪率低的主要原因之一。我们使用差异方法测试了“行动影响”对2004年至2012年报告的犯罪和逮捕的影响。我们使用Poisson回归模型比较了在相同NYPD辖区但在影响区之外的人口普查区组被指定为影响区之前和之后犯罪和逮捕计数的差异。影响区与报告的犯罪,攻击,入室盗窃,毒品违规,轻罪,重罪,重罪,抢劫和重罪暴力犯罪总数的减少显着相关。影响区与报告的逮捕总数,入室盗窃逮捕,武器逮捕,轻罪罪行逮捕和财产重罪逮捕的增加显着相关。影响区也与涉嫌犯罪的侦查中止次数的增加显着相关,但只有基于犯罪行为的可能原因指标而增加的中止次数与减少犯罪量有关。在影响区的调查站中增加最多的是基于对犯罪没有可衡量影响的可疑行为指标。调查结果表明,在警察中充斥大量犯罪分子有助于减少纽约市的犯罪率,但是大部分调查站在减少犯罪率方面没有发挥重要作用。调查结果表明,可以通过更有针对性的调查来减少犯罪。

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