Replication Data for: Are Police Racially Biased in the Decision to Shoot?
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully.  <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'We present a theoretical model predicting that racially biased policing produces 1) more use of potentially lethal force by firearms against Black civilians than against White civilians and 2) lower fatality rates for Black civilians than White civilians. We empirically evaluate this second prediction with original officer-involved shooting data from 2010 to 2017 for eight local police jurisdictions, finding that Black fatality rates are significantly lower than White fatality rates and that this significance would survive an omitted covariate three times as strong as any of our observed covariates. Furthermore, using outcome test methodology and a comparability assumption, we estimate that at least 30% of Black civilians shot by the police would not have been shot had they been White. An omitted covariate would need to be at least thre' . Please return only a json list of at most 3 Keywords corresponding to the Description:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> {"Answer" : ["Formal Model","Officer Involved Shooting","Policing","Racial Bias","Sensitivity Analysis"]} <|eot_id|>
 Here is the Description of a dataset. Description:'We present a theoretical model predicting that racially biased policing produces 1) more use of potentially lethal force by firearms against Black civilians than against White civilians and 2) lower fatality rates for Black civilians than White civilians. We empirically evaluate this second prediction with original officer-involved shooting data from 2010 to 2017 for eight local police jurisdictions, finding that Black fatality rates are significantly lower than White fatality rates and that this significance would survive an omitted covariate three times as strong as any of our observed covariates. Furthermore, using outcome test methodology and a comparability assumption, we estimate that at least 30% of Black civilians shot by the police would not have been shot had they been White. An omitted covariate would need to be at least thre' . Please return only a json list of at most 3 Keywords corresponding to the Description:.
We present a theoretical model predicting that racially biased policing produces 1) more use of potentially lethal force by firearms against Black civilians than against White civilians and 2) lower fatality rates for Black civilians than White civilians. We empirically evaluate this second prediction with original officer-involved shooting data from 2010 to 2017 for eight local police jurisdictions, finding that Black fatality rates are significantly lower than White fatality rates and that this significance would survive an omitted covariate three times as strong as any of our observed covariates. Furthermore, using outcome test methodology and a comparability assumption, we estimate that at least 30% of Black civilians shot by the police would not have been shot had they been White. An omitted covariate would need to be at least thre
Formal Model; Officer Involved Shooting; Policing; Racial Bias; Sensitivity Analysis