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Methods to Cost Crime Victimization: Statistical Modelling with Integrated and Survey Data to Comprehensively Measure Harm

Award Information

Award #
Congressional District
Funding First Awarded
Total funding (to date)

Description of original award (Fiscal Year 2020, $1,225,595)

In the proposed project, researchers will test new procedures to model victim harms, redefine key constructs in victim financial modeling, and then apply these models. To do so they will use a combination of novel integrated data systems (IDS) from three counties (Chicago, IL, Camden, NJ and Allegheny, PA) and random, household survey data from two cities to develop new estimates of the financial costs of victimization. IDS include data from a range of criminal justice, health, and human service domains. In-person surveys will target 412, 18-40 year-old males at high risk of violent and repeat victimization. Analyses will include developing group-based trajectory models to create trajectory clusters for patterns of harms by personal attributes (for both victims and non-victims). Surveys will be used to estimate victim costs for difficult to measure harms, and Monte Carlo simulation models will estimate a distribution of those harms from the survey data. Regression models will be used to estimate harm parameters to create new estimates of financial costs of victimization.
Note: This project contains a research and/or development component, as defined in applicable law, and complies with Part 200 Uniform Requirements - 2 CFR 200.210(a)(14). CA/NCF

Date Created: September 16, 2020