Showing 1 – 4 of 4 results.
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Criminal Recidivism in a Large Cohort of Offenders Released from Prison in Florida, 2004-2008 (ICPSR 27781)
Released/updated on: 2010-07-29
Geographic coverage: United States, Florida
Time period: 2004-01-01--2008-01-01
The purpose of the study was to quantify the effect of the embrace of DNA technology on offender behavior. In particular, researchers examined whether an offender's knowledge that their DNA profile was entered into a database deterred them from offending in the future and if probative effects resulted from DNA sampling. The researchers coded information using criminal history records and data from Florida's DNA database, both of which are maintained by the Florida Department of Law Enforcement (FDLE), and also utilized court docket information acquired through the Florida Department of Corrections (FDOC) to create a dataset of 156,702 cases involving offenders released from the FDOC in the state of Florida between January 1996 and December 2004. The data contain a total of 50 variables. Major categories of variables include demographic variables regarding the offender, descriptive variables relating to the initial crime committed by the offender, and time-specific variables regarding cases of recidivism.
Curated
Effects of Incarceration on Criminal Trajectories in the United States, 1994 (ICPSR 4578)
Released/updated on: 2007-02-05
Geographic coverage: North Carolina, Oregon, United States, Minnesota, California, Florida, Delaware, New York (state), New Jersey, Michigan, Illinois, Texas, Ohio, Virginia, Maryland, Arizona
Using data from RECIDIVISM OF PRISONERS RELEASED IN 1994: [UNITED STATES] (ICPSR 3355), this study developed an analytical approach to utilize detailed dated criminal arrest history information in order to investigate whether, and to what extent, incarceration is able to deter offenders from future offending. This data collection consists of the syntax for a SAS macro used to estimate individual specific offending micro-trajectories, project counterfactual trajectories, and to assess the actual post-release offending patterns against the backdrop of these counterfactuals. The arrest records of individuals were clustered in chronological order and were truncated after the first post-release re-arrest event. The key independent variables used in estimating the pre-release criminal history accumulation process included the arrest number, the age at first arrest, whether or not the individual was confined as a result of the previous arrest event, and a measure of the number of years taken to reach each arrest event cumulated through the last arrest event. The same set of basic variables were used to model first re-arrest after release (recidivism).
Curated
Empirical Investigation of "Going to Scale" in Drug Interventions in the United States, 1990, 2003 (ICPSR 26101)
Released/updated on: 2009-08-26
Geographic coverage: United States
Despite a growing consensus among scholars that substance abuse treatment is effective in reducing offending, strict eligibility rules have limited the impact of current models of therapeutic jurisprudence on public safety. This research effort was aimed at providing policy makers some guidance on whether expanding this model to more drug-involved offenders is cost-beneficial. Since data needed for providing evidence-based analysis of this issue were not readily available, micro-level data from three nationally representative sources were used to construct a 40,320 case synthetic dataset -- defined using population profiles rather than sampled observation -- that was used to estimate the benefits of going to scale in treating drug involved offenders. The principal investigators combined information from the NATIONAL SURVEY ON DRUG USE AND HEALTH, 2003 (ICPSR 4138) and the ARRESTEE DRUG ABUSE MONITORING (ADAM) PROGRAM IN THE UNITED STATES, 2003 (ICPSR 4020) to estimate the likelihood of drug addiction or dependence problems and develop nationally representative prevalence estimates. They used information in the DRUG ABUSE TREATMENT OUTCOME STUDY (DATOS), 1991-1994 (ICPSR 2258) to compute expected crime reducing benefits of treating various types of drug involved offenders under four different treatment modalities. The project computed expected crime reducing benefits that were conditional on treatment modality as well as arrestee attributes and risk of drug dependence or abuse. Moreover, the principal investigators obtained estimates of crime reducing benefits for all crimes as well as select sub-types. Variables include age, race, gender, offense, history of violence, history of treatment, co-occurring alcohol problem, criminal justice system status, geographic location, arrest history, and a total of 134 prevalence and treatment effect estimates and variances.
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Spatial Analysis of Rare Crimes: Homicides in Chicago, Illinois, 1989-1991 (ICPSR 4079)
Released/updated on: 2006-03-30
Geographic coverage: United States, Chicago, Illinois
Time period: 1989-01-01--1991-01-01
This project's main goal was to develop an analytical framework that could be used for analysis of rare crimes observed at local (intra-city) levels of geographic aggregation. To demonstrate the application of this framework to a real-world issue, this project analyzed the occurrence of different types of homicide at both the census tract and neighborhood cluster level in Chicago. Homicide counts for Chicago's 865 census tracts for 1989-1991 were obtained from HOMICIDES IN CHICAGO, 1965-1995 (ICPSR 6399), Part 1: Victim Level Data. The types of homicide examined were gang-related, instrumental, family-related expressive, known person expressive, stranger expressive, and other. Demographic and socioeconomic data at the census tract level for the year 1990 were obtained from the Neighborhood Change Database (NCDB) at the Urban Institute. Part 1 contains these data, as initially obtained, at the census tract level. Part 2 contains an aggregated version of the same data for Chicago's 343 neighborhood clusters as defined by the Project on Human Development in Chicago's Neighborhoods.