pj_officer_level_balanced: Procedural Justice Training Program in the Chicago Police...
In staggered: Efficient Estimation Under Staggered Treatment Timing

Description Usage Format Source References

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).

1	pj_officer_level_balanced

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)

Wood, Tyler, Papachristos, Roth and Sant'Anna (2020) and Roth and Sant'Anna (2021).

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.

staggered documentation built on Sept. 16, 2021, 1:08 a.m.