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Washington State Institute for Public Policy
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Youth Villages LifeSet (YV LifeSet) for court-involved/post-release youth

Juvenile Justice
Benefit-cost methods last updated December 2023.  Literature review updated July 2019.
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Youth Villages LifeSet (YV LifeSet) is a transitional living program for youth aging out of state custody. This analysis is on YV LifeSet for youth released from juvenile custody. Each youth is assigned to a YV LifeSet Specialist. YV LifeSet Specialists have a caseload of eight to ten youth. The YV LifeSet Specialist meets with individuals weekly to help youth establish goals in the areas of education, employment, housing, and life skills. YV LifeSet Specialists may also refer youth to program-provided practices for mental health or substance abuse treatment. The program duration can range from a few months to over a year. More information can be found on the Youth Villages website: https://www.youthvillages.org/yvlifeset/.

In the included study, youth participated in YV LifeSet for an average of 215 days. Program and comparison group youth had access to usual services upon release from juvenile custody. In the included study, 48% of participants were youth of color and 48% were female.

We report a separate analysis on YV LifeSet for youth aging out of the foster system.

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.
 
ALL
BENEFIT-COST
META-ANALYSIS
CITATIONS
For an overview of WSIPP's Benefit-Cost Model, please see this guide. The estimates shown are present value, life cycle benefits and costs. All dollars are expressed in the base year chosen for this analysis (2022). 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 ($2,848) Benefits minus costs ($27,675)
Participants ($1,324) Benefit to cost ratio ($1.40)
Others ($5,046) Chance the program will produce
Indirect ($6,912) benefits greater than the costs 2%
Total benefits ($16,130)
Net program cost ($11,545)
Benefits minus cost ($27,675)

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

*The effect size for this outcome indicates percentage change, not a standardized mean difference effect size.

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. See Estimating Program Effects Using Effect Sizes for additional information.

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
Any criminal conviction according to court records, sometimes measured through charges, arrests, incarceration, or self-report.
 19 1 404 0.100 0.110 20 0.100 0.110 28 0.100 0.365
Earnings*
Percent change in labor market earnings, typically weekly or monthly wages.
19 1 404 -0.064 0.117 20 0.000 0.014 21 -0.064 0.583
Problem alcohol use
Alcohol use reflecting problem behaviors (e.g., high frequency drinking, binge drinking, or drinking that has a high impact on daily life) for individuals who do not have an alcohol use disorder.
 19 1 330 -0.031 0.086 19 -0.004 0.128 21 -0.031 0.720
Homelessness^
A lack of stable housing, often measured through self-report of conditions like living on streets or in shelters in a given time period.
 19 1 330 -0.161 0.086 19 n/a n/a n/a -0.161 0.060
Enroll in any college^
Enroll in either a 2-year or 4-year higher education institution.
 19 1 404 -0.157 0.125 20 n/a n/a n/a -0.157 0.209
Illicit drug use^
Adult use of illicit drugs that does not rise to the level of “disordered.” When possible, we exclude cannabis/marijuana use from this outcome.
 19 1 330 -0.021 0.108 19 n/a n/a n/a -0.021 0.846
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
Affected outcome: Resulting benefits:1 Benefits accrue to:
Taxpayers Participants Others2 Indirect3 Total
Crime Criminal justice system ($2,288) $0 ($5,050) ($1,144) ($8,483)
Problem alcohol use Property loss associated with problem alcohol use $0 $0 $1 $0 $1
Health care associated with problem alcohol use $3 $1 $4 $2 $9
Mortality associated with problem alcohol $0 $0 $0 $3 $3
Earnings Labor market earnings ($563) ($1,325) $0 $0 ($1,888)
Program cost Adjustment for deadweight cost of program $0 $0 $0 ($5,773) ($5,773)
Totals ($2,848) ($1,324) ($5,046) ($6,912) ($16,130)
Click here to see populations selected
Detailed Annual Cost Estimates Per Participant
Annual cost Year dollars Summary
Program costs $9,690 2015 Present value of net program costs (in 2022 dollars) ($11,545)
Comparison costs $0 2015 Cost range (+ or -) 20%
The per-participant cost is based on information provided by Youth Villages (June 2016). The cost per day enrolled in the program ranges from $40 to $50. In the included study, the average youth was enrolled for 215 days. We multiply the mid-range daily rate of $45 by the average number of days enrolled.
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.
Benefits Minus Costs
Benefits by Perspective
Taxpayer Benefits by Source of Value
Benefits Minus Costs Over Time (Cumulative 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 discounted dollars. 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.

Citations Used in the Meta-Analysis

Skemer, M. & Valentine, E.J. (2016). Striving for Independence: Two-Year Impact Findings from the Youth Villages Transitional Living Evaluation. New York, NY: MDRC.

Valentine, E.J., Skemer, M., & Courtney, M.E. (2015). Becoming Adults: One-Year Impact Findings from the Youth Villages Transitional Living Evaluation. New York, NY: MDRC.