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Intensive supervision for court-involved youth (vs. confinement in state institutions)

Juvenile Justice
Benefit-cost methods last updated December 2019.  Literature review updated July 2019.
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Intensive supervision is a model of supervision that emphasizes a higher degree of surveillance than traditional supervision in the community. Intensive supervision often involves case management with caseloads of fewer than 25 youth. The conditions of supervision vary but may include urinalysis testing, increased face-to-face or collateral contacts, and required participation in programming. Programming may include mentoring, tutoring, counseling, job training, or other community-based services. On average, youth have 17 monthly contacts with their juvenile probation counselor.

This analysis compares youth placed directly on supervision without a period of confinement to youth confined and then released to probation-as-usual. In the included studies, youth were at moderate or high risk for recidivism per a validated risk assessment tool; the evaluations in the analysis exclude youth adjudicated with highly violent felonies. The length of supervision and aftercare ranged from six to eight months. In the studies in our analysis that reported demographic information, 64% of participants were youth of color and 2% were female.

Evaluations of intensive supervision for youth placed directly on supervision compared to traditional probation or intensive supervision for youth released from confinement compared to youth released from confinement and placed on traditional supervision are excluded from this analysis and analyzed separately.

Key Terms

Court-involved youth: Youth who are processed through the juvenile justice system but who are not ordered to a period of confinement in a residential or correctional facility. This includes populations of arrested youth, diverted youth, charged youth, adjudicated youth, and youth on probation or formal supervision.

Youth in state institutions: Youth who are confined in a residential or correctional facility when they participate in the program.

Youth post-release: Youth who are returning to the community following a period of confinement in a residential or correctional facility and who participate in the program after release to the community.

BENEFIT-COST
META-ANALYSIS
CITATIONS
The estimates shown are present value, life cycle benefits and costs. All dollars are expressed in the base year chosen for this analysis (2018). The chance the benefits exceed the costs are derived from a Monte Carlo risk analysis. The details on this, as well as the economic discount rates and other relevant parameters are described in our Technical Documentation.
Benefit-Cost Summary Statistics Per Participant
Benefits to:
Taxpayers $853 Benefits minus costs $42,582
Participants $116 Benefit to cost ratio n/a
Others $2,772 Chance the program will produce
Indirect $13,212 benefits greater than the costs 100 %
Total benefits $16,953
Net program cost $25,629
Benefits minus cost $42,582
1In addition to the outcomes measured in the meta-analysis table, WSIPP measures benefits and costs estimated from other outcomes associated with those reported in the evaluation literature. For example, empirical research demonstrates that high school graduation leads to reduced crime. These associated measures provide a more complete picture of the detailed costs and benefits of the program.

2“Others” includes benefits to people other than taxpayers and participants. Depending on the program, it could include reductions in crime victimization, the economic benefits from a more educated workforce, and the benefits from employer-paid health insurance.

3“Indirect benefits” includes estimates of the net changes in the value of a statistical life and net changes in the deadweight costs of taxation.
Detailed Monetary Benefit Estimates Per Participant
Benefits from changes to:1 Benefits to:
Taxpayers Participants Others2 Indirect3 Total
Crime $808 $0 $2,703 $404 $3,915
Labor market earnings associated with high school graduation $57 $135 $75 $0 $267
Costs of higher education ($13) ($19) ($6) ($6) ($44)
Adjustment for deadweight cost of program $0 $0 $0 $12,815 $12,815
Totals $853 $116 $2,772 $13,212 $16,953
Detailed Annual Cost Estimates Per Participant
Annual cost Year dollars Summary
Program costs $5,284 2015 Present value of net program costs (in 2018 dollars) $25,629
Comparison costs $29,705 2015 Cost range (+ or -) 50 %
We estimate the per-participant program cost using WSIPP’s annual marginal cost estimate for juvenile local supervision (as reported in Washington State Institute for Public Policy. (December 2018). Benefit-cost technical documentation. Olympia, WA: Author) to compute a monthly cost estimate. We use the weighted average intensive supervision caseloads, as reported in the included studies, 12 youth per juvenile probation counselor versus traditional probation caseloads that average 43 youth per juvenile probation officer (as reported in Burley, M. & Barnoski, R. (1997). Washington State Juvenile Courts: Workloads and Costs. Olympia: Washington State Institute for Public Policy). We take the ratio of the intensive supervision caseload to the traditional probation caseload and multiply it by the monthly marginal average cost estimate for juvenile supervision. We then multiply the cost by the weighted average time on supervision, 7.5 months, as reported by the studies included in the meta-analysis. The comparison group cost is the annual marginal cost estimate for juvenile state institutions, multiplied by the estimated time confined in state institutions (8 months as reported in Lerman, P. (1975). Community treatment and social control. Chicago: University of Chicago Press.).
The figures shown are estimates of the costs to implement programs in Washington. The comparison group costs reflect either no treatment or treatment as usual, depending on how effect sizes were calculated in the meta-analysis. The cost range reported above reflects potential variation or uncertainty in the cost estimate; more detail can be found in our Technical Documentation.
Estimated Cumulative Net Benefits Over Time (Non-Discounted Dollars)
The graph above illustrates the estimated cumulative net benefits per-participant for the first fifty years beyond the initial investment in the program. We present these cash flows in non-discounted dollars to simplify the “break-even” point from a budgeting perspective. If the dollars are negative (bars below $0 line), the cumulative benefits do not outweigh the cost of the program up to that point in time. The program breaks even when the dollars reach $0. At this point, the total benefits to participants, taxpayers, and others, are equal to the cost of the program. If the dollars are above $0, the benefits of the program exceed the initial investment.

^WSIPP’s benefit-cost model does not monetize this outcome.

^^WSIPP does not include this outcome when conducting benefit-cost analysis for this program.

Meta-analysis is a statistical method to combine the results from separate studies on a program, policy, or topic in order to estimate its effect on an outcome. WSIPP systematically evaluates all credible evaluations we can locate on each topic. The outcomes measured are the types of program impacts that were measured in the research literature (for example, crime or educational attainment). Treatment N represents the total number of individuals or units in the treatment group across the included studies.

An effect size (ES) is a standard metric that summarizes the degree to which a program or policy affects a measured outcome. If the effect size is positive, the outcome increases. If the effect size is negative, the outcome decreases.

Adjusted effect sizes are used to calculate the benefits from our benefit cost model. WSIPP may adjust effect sizes based on methodological characteristics of the study. For example, we may adjust effect sizes when a study has a weak research design or when the program developer is involved in the research. The magnitude of these adjustments varies depending on the topic area.

WSIPP may also adjust the second ES measurement. Research shows the magnitude of some effect sizes decrease over time. For those effect sizes, we estimate outcome-based adjustments which we apply between the first time ES is estimated and the second time ES is estimated. We also report the unadjusted effect size to show the effect sizes before any adjustments have been made. More details about these adjustments can be found in our Technical Documentation.

Meta-Analysis of Program Effects
Outcomes measured Treatment age No. of effect sizes Treatment N Adjusted effect sizes(ES) and standard errors(SE) used in the benefit - cost analysis Unadjusted effect size (random effects model)
First time ES is estimated Second time ES is estimated
ES SE Age ES SE Age ES p-value
Crime 15 3 648 -0.031 0.064 16 -0.031 0.064 24 -0.031 0.624
Status offense^ 15 1 81 0.069 0.213 16 n/a n/a n/a 0.069 0.746
Technical violations^^ 15 2 407 0.721 0.132 16 n/a n/a n/a 0.721 0.001

Citations Used in the Meta-Analysis

Barton, W.H., & Butts, J.A. (1990). Viable options: Intensive supervision programs for juvenile delinquents. Crime and Delinquency, 36 (2), 238-256.

Lerman, P. (1975). Community treatment and social control. Chicago: University of Chicago Press.

Weibush, R.G. (1993). Juvenile intensive supervision: The impact on felony offenders diverted from institutional placement. Crime and Delinquency, 39 (1), 68-89.