| pj_officer_level_balanced {staggered} | R Documentation |
Procedural Justice Training Program in the Chicago Police Department
Description
Data from a large-scale procedural justice training program in the Chicago Police Department analyzed by Wood, Tyler, Papachristos, Roth and Sant'Anna (2020) and Roth and Sant'Anna (2021). The data contains a balanced panel of 7,785 police officers in Chicago who were randomly given a procedural justice training on different dates, and who remained in the police force throughout the study period (from January 2011 to December 2016).
Usage
pj_officer_level_balanced
Format
A data frame with 560520 observations (7,785 police officers and 72 months) and 12 variables:
- uid
identifier for the police officer
- month
month and year of the observation
- assigned
month-year of first training assignment
- appointed
appointment date
- resigned
Date the police officer resigned. NA if he/she did not resigned by the time data was collected
- birth_year
Officer's year of birth
- assigned_exact
Exact date of first training assignment
- complaints
Number of complaints (setlled and sustained)
- sustained
Number of sustained complaints
- force
Number of times force was used
- period
Time period: 1 - 72
- first_trained
Time period first exposed to treatment (Treatment cohort/group)
Source
Wood, Tyler, Papachristos, Roth and Sant'Anna (2020) and Roth and Sant'Anna (2021).
References
Roth, Jonatahan, and Sant'Anna, Pedro H. C. (2021), 'Efficient Estimation for Staggered Rollout Designs', arXiv: 2102.01291, https://arxiv.org/abs/2102.01291.
Wood, George, Tyler, Tom R., Papachristos, Andrew P., Roth, Jonathan and Sant'Anna, Pedro H. C. (2020), 'Revised findings for "Procedural justice training reduces police use of force and complaints against officers", doi: 10.31235/osf.io/xf32m.