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Washington State Institute for Public Policy
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Employment counseling and job training (transitional reentry from incarceration into the community)

Adult Criminal Justice
Benefit-cost methods last updated December 2019.  Literature review updated August 2016.
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Employment counseling and job training programs teach skills necessary for seeking employment after incarceration. These include both hard skills (e.g., job preparedness and skills training) and soft skills, (e.g., effective job searches, applications, and resumes). These programs may be sequential, where participants first undergo job training and then receive work experience, or follow individualized employment plans. Participants may also receive employment placement assistance from a specialist. Some programs may also specifically address barriers to employment for convicted persons.

For this group of studies, job training and employment assistance first began during incarceration and continued upon reentry into the community for up to 12 months. Compared with other employment and job training programs reviewed by WSIPP, this program is the most intensive due to its transitional nature as well as its focus on hard skills and soft skills.
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 $13,277 Benefits minus costs $43,502
Participants $14,992 Benefit to cost ratio $18.21
Others $15,577 Chance the program will produce
Indirect $2,183 benefits greater than the costs 88 %
Total benefits $46,030
Net program cost ($2,528)
Benefits minus cost $43,502
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 $6,895 $0 $15,577 $3,447 $25,919
Labor market earnings $6,383 $14,992 $0 $0 $21,375
Adjustment for deadweight cost of program $0 $0 $0 ($1,264) ($1,264)
Totals $13,277 $14,992 $15,577 $2,183 $46,030
Detailed Annual Cost Estimates Per Participant
Annual cost Year dollars Summary
Program costs $2,433 2016 Present value of net program costs (in 2018 dollars) ($2,528)
Comparison costs $0 2014 Cost range (+ or -) 10 %
Per-participant cost estimate provided by the Washington State Department of Corrections. We assume the cost of vocational education for job training while in prison and include the cost for employment assistance in prison and in the community.
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 does not include this outcome when conducting benefit-cost analysis for this program.

*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.

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 33 2 338 -0.224 0.102 35 -0.224 0.102 45 -0.380 0.019
Earnings* 33 1 232 0.472 0.167 34 0.000 0.032 35 0.472 0.005
Technical violations^^ 33 1 232 -0.605 0.131 34 n/a n/a n/a -0.605 0.001

Citations Used in the Meta-Analysis

Cook, P.J., Kang, S., Braga, A.A., Ludwig, J., & O’Brien, M.E. (2015). An experimental evaluation of a comprehensive employment-oriented prisoner re-entry program. Journal of Quantitative Criminology, 31(3), 355-382.

Duwe, G. (2015). The benefits of keeping idle hands busy: An outcome evaluation of a prisoner reentry employment program. Crime & Delinquency, 61(4), 559-586.