Court-mandated downsizing of
the CA prison system has led to a redistribution of detainees from prisons to
CA county jails, and subsequent jail overcrowding.
Using data that is
representative of the LA County jail system, we build a mathematical model that
tracks the flow of individuals during arraignment, pretrial release or
detention, case disposition, jail sentence, and possible recidivism during
pretrial release, after a failure to appear in court, during non-felony
probation and during felony supervision.
We assess 64 joint pretrial release
and split-sentencing (where low-level felon sentences are split between jail
time and mandatory supervision) policies that are based on the type of charge
(felony or non-felony) and the risk category as determined by the CA Static
Risk Assessment tool, and compare their performance to that of the policy LA
County used in early 2014, before split sentencing was in use.
In our model,
policies that offer split sentences to all low-level felons optimize the key
tradeoff between public safety and jail congestion by, e.g., simultaneously
reducing the rearrest rate by 7% and the mean jail population by 20% relative
to the policy LA County used in 2014.
The effectiveness of split sentencing is
due to two facts:
- convicted felony offenders comprised ≈ 45% of LA County’s jail population in 2014, and
- compared to pretrial release, split sentencing exposes offenders to much less time under recidivism risk per saved jail day.
Full article at: http://goo.gl/06yV9h
By:
Mericcan Usta
Management Science &
Engineering Department, Stanford University, Stanford, CA, United States of
America
Lawrence M. Wein
Graduate School of Business,
Stanford University, Stanford, CA, United States of America
More at: https://twitter.com/hiv
insight
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