pj_officer_level_balanced: Procedural Justice Training Program in the Chicago Police...

In staggered: Efficient Estimation Under Staggered Treatment Timing

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", \Sexpr[results=rd]{tools:::Rd_expr_doi("10.31235/osf.io/xf32m")}.

staggered documentation built on Sept. 24, 2024, 5:07 p.m.