Assessing the Link Between Foreclosure and Crime Rates: A Multi-level Analysis of Neighborhoods Across 29 Large United States Cities, 2007-2009 (ICPSR 34570)
These data are part of NACJD's Fast Track Release and are distributed as they were received from the data depositor. The files have been zipped by NACJD for release, but not checked or processed except for the removal of direct identifiers. Users should refer to the accompanying readme file for a brief description of the files available with this collection and consult the investigator(s) if further information is needed.
The study integrated neighborhood-level data on robbery and burglary gathered from local police agencies across the United States, foreclosure data from RealtyTrac (a real estate information company), and a wide variety of social, economic, and demographic control variables from multiple sources. Using census tracts to approximate neighborhoods, the study regressed 2009 neighborhood robbery and burglary rates on foreclosure rates measured for 2007-2008 (a period during which foreclosure spiked dramatically in the nation), while accounting for 2007 robbery and burglary rates and other control variables that captured differences in social, economic, and demographic context across American neighborhoods and cities for this period. The analysis was based on more than 7,200 census tracts in over 60 large cities spread across 29 states. Core research questions were addressed with a series of multivariate multilevel and single-level regression models that accounted for the skewed nature of neighborhood crime patterns and the well-documented spatial dependence of crime.
The study contains one data file with 8,198 cases and 99 variables.
Youth Justice Policy Environments and Their Effects on Youth Confinement Rates, United States, 1996-2016 (ICPSR 37618)
This study was conducted to address the dropping rates in residential placements of adjudicated youth after the 1990s. Policymakers, advocates, and reseraches began to attirbute the decline to reform measures and proposed that this was the cause of the drop seen in historic national crime. In response, researchers set out to use state-level data on economic factors, crime rates, political ideology scores, and youth justice policies and practices to test the association between the youth justice policy environment and recent reductions in out-of-home placements for adjudicated youth.
This data collection contains two files, a multivariate and bivariate analyses. In the multivariate file the aim was to assess the impact of the progressive policy characteristics on the dependent variable which is known as youth confinement. In the bivariate analyses file Wave 1-Wave 10 the aim was to assess the states as they are divided into 2 groups across all 16 dichotomized variables that comprised the progressive policy scale: those with more progressive youth justice environments and those with less progressive or punitive environments. Some examples of these dichotomized variables include purpose clause, courtroom shackling, and competency standard.