Drug Treatment Courts and Community-Level Crime: A Stacked Event Study Analysis

Principal Investigator(s):  View help for Principal Investigator(s) Patrick Hibbard, Oregon Social Learning Center

Version:  View help for Version V1

Name File Type Size Last Modified
ADCs_KnOffenses_CoreAnalyses_forReplication.do text/plain 5.3 KB 03/08/2022 01:15:PM
ADCs_KnOffenses_CounterfactualAnalysis_forReplication.do text/plain 3.3 KB 03/08/2022 12:55:PM
ADCs_KnOffenses_DataCleanAndSetup_forReplication.do text/plain 11.7 KB 03/08/2022 12:55:PM
ADCs_KnOffenses_Replication_Dataset.dta application/x-stata-dta 49 MB 03/08/2022 12:55:PM
ADCs_KnOffenses_RobustnessChecks_forReplication.do text/plain 10.2 KB 03/08/2022 12:55:PM

Project Citation: 

Hibbard, Patrick. Drug Treatment Courts and Community-Level Crime: A Stacked Event Study Analysis. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2022-03-08. https://doi.org/10.3886/E164302V1

Project Description

Summary:  View help for Summary This study assessed the degree to which adult drug treatment courts impact county-level crime using a stacked event-study design. Materials included here serve as supplements to the article "Drug Treatment Courts and Community-Level Crime: A Stacked Event Study Analysis" submitted to the Journal of Experimental Criminology in March of 2022.

Materials include:
- Stata code for data cleaning and setup, core analysis, counterfactual analysis, and robustness checks
- Analysis data with county FIPS codes anonymized 

The code may be adapted for use in other contexts but identification of individual counties has been masked in the data to protect the use of the treatment court data until fully released to the public. 
Funding Sources:  View help for Funding Sources United States Department of Health and Human Services. National Institutes of Health. National Institute on Drug Abuse (R24DA051950)

Scope of Project

Geographic Coverage:  View help for Geographic Coverage Most counties in the United States
Time Period(s):  View help for Time Period(s) 1990 – 2018 (Pre- and post-period cushions of five years to accommodate stacked event study design.)
Data Type(s):  View help for Data Type(s) administrative records data; aggregate data; census/enumeration data

Methodology

Sampling:  View help for Sampling This dataset is built upon the UCR Summary Reporting Offenses Known data concatenated by Jacob Kaplan (https://www.openicpsr.org/openicpsr/project/100707/version/V17/view). To minimize measurement error, data cleaning started with UCR reporting agencies which reported all 12 months per year for the entirety of each stack (see Methods Appendix for clarification). Agencies were collapsed to the county level, then other data were merged in. 
Data Source:  View help for Data Source UCR Summary Reporting Offenses Known dataset from https://www.openicpsr.org/openicpsr/project/100707/version/V17/view

Treatment court data come from a purpose-built dataset that has not yet been released for public use. 

County-level demographic data were gathered from the NIH SEER dataset. 

Unemployment data include those provided by the US Labor Department in the LAUS. 

Other information merged in include county size in square miles (to calculate population density) and presidential vote proportions (interpolated in off years weighted by proximity to election year).

Related Publications

Download this project

Published Versions

V1 [2022-03-08]

Export Metadata

Dublin Core

DDI 2.5

Report a Problem

Found a serious problem with the data, such as disclosure risk or copyrighted content? Let us know.

This material is distributed exactly as it arrived from the data depositor. ICPSR has not checked or processed this material. Users should consult the investigator(s) if further information is desired.