An Economic Analysis of Black-White Disparities in NYPD’s Stop and Frisk Program∗†‡
نویسندگان
چکیده
We study the possible racial bias of the police involved in NYPD’s “stop and frisk program.” A model is introduced to explore the identification of two distinct sources of bias: bias at the level of the police officer making the stop decisions, and bias at the level of the police chief allocating manpower across precincts. Previous research offered positive identification results regarding officer bias; this paper adds a new, and negative, identification result for police chief bias. Ten years of data from NYPD’s “stop and frisk program” are analyzed in light of this theoretical framework. White pedestrians are found to be slightly less likely than african-american pedestrians to be arrested conditional on being stopped. We interpret this as evidence that the officers ∗Thanks to Matthew Bloch for sharing with us the NYC electoral data and to Tim Brophy for helping us in mapping the NYC data into police precincts. †This paper is an update of NBER working paper 18803 with the same title, published in February 2013. ‡The data used in this paper can be downloaded from: http://www.nyc.gov/html/nypd/html/analysis and planning/stop question and frisk report.shtml. We also offer access to the replication material to academic faculty and graduate students. Please write to [email protected] if you would like access.
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