A Bayesian, Meta Cost-Benefit Model
Group: Urban Institute District of Columbia Crime Policy Institute
DCPI staff presented initial results from its Bayesian statistics-driven empirical model to Brookings Institution staff. This presentation outlined the motivations for developing the model and its analytic strategy. Staff used a meta-analysis of drug courts to demonstrate the model's capabilities; specifically, what it would cost to implement a drug court in the District of Columbia and the expected benefits of its implementation. Further, the model describes the optimal characteristics a Washington, D.C. drug court should possess in order to maximize benefits. These include the number of participants, the nature of their current and previous offenses, and their motivations.
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