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Community-based correctional facilities (halfway houses)

Adult Criminal Justice
Benefit-cost estimates updated May 2017.  Literature review updated August 2016.
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Community-based correctional facilities and halfway houses are models of housing support for individuals reentering the community from incarceration. This form of housing is a type of community supervision, similar to parole, with an additional residential component. Halfway houses are usually a condition of early release, and require tenants to participate in various forms of treatment, most commonly those related to substance abuse. Halfway houses provide an initial step towards full reentry by placing individuals back into the community in a group-home like environment with guided supervision intended to help provide stability and accountability. Halfway house programs provide services for a minimum of three months post-release. Failure in either community-based correctional facilities or halfway house programs may be grounds for parole revocation and a subsequent return to prison. Individuals in these studies spent between two and five months in halfway houses.
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 (2016). 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 ($484) Benefits minus costs ($14,364)
Participants $0 Benefit to cost ratio ($0.71)
Others ($1,096) Chance the program will produce
Indirect ($4,407) benefits greater than the costs 0 %
Total benefits ($5,986)
Net program cost ($8,378)
Benefits minus cost ($14,364)
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 ($484) $0 ($1,096) ($241) ($1,821)
Adjustment for deadweight cost of program $0 $0 $0 ($4,166) ($4,166)
Totals ($484) $0 ($1,096) ($4,407) ($5,986)
Detailed Annual Cost Estimates Per Participant
Annual cost Year dollars Summary
Program costs $8,375 2016 Present value of net program costs (in 2016 dollars) ($8,378)
Comparison costs $0 2016 Cost range (+ or -) 10 %
Cost estimate was obtained from Ohio Department of Rehabilitation and Correction Funded Community Corrections FY 2016 Fact Sheet. (2017). Retrieved April 26, 2017, from http://ojacc.org/wp-content/uploads/2017/04/Fiscal-Year-2016-Fact-Sheet-Final.pdf.
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.

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 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 7 22371 0.016 0.012 36 0.016 0.012 46 0.043 0.071
Technical violations^^ 2 12421 -0.322 0.021 37 -0.322 0.021 47 -0.322 0.001

Citations Used in the Meta-Analysis

Latessa, E.J., Lovins, L. & Smith, P. (2010). Follow-up evaluation of Ohio's community based correctional facility and halfway house programs--outcome study.

Hamilton, Z.K., & Campbell, C.M. (2014). Uncommonly observed: The impact of New Jersey's halfway house system. Criminal Justice and Behavior, 41(11), 1354-1375.

Routh, D., & Hamilton, Z. (2015). Work release as a transition: Positioning success via the halfway house. Journal of Offender Rehabilitation, 54(4), 239-255.

Seiter, R.P. (1975). Evaluation research as a feedback mechanism for criminal justice policy making: A critical analysis. Dissertation Abstracts International, 36(06), 4057A. (UMI No. 7526660)

For more information on the methods
used please see our Technical Documentation.
360.664.9800
institute@wsipp.wa.gov