|Benefit-Cost Summary Statistics Per Participant|
|Taxpayers||$4,687||Benefits minus costs||$10,392|
|Participants||$7,584||Benefit to cost ratio||$3.66|
|Others||$3,554||Chance the program will produce|
|Indirect||($1,526)||benefits greater than the costs||66 %|
|Net program cost||($3,906)|
|Benefits minus cost||$10,392|
|Detailed Monetary Benefit Estimates Per Participant|
|Benefits from changes to:1||Benefits to:|
|Labor market earnings associated with high school graduation||$3,839||$8,455||$3,861||$0||$16,155|
|Property loss associated with alcohol abuse or dependence||$0||$1||$3||$0||$4|
|Health care associated with educational attainment||$912||($249)||($995)||$455||$123|
|Costs of higher education||($414)||($623)||($186)||($207)||($1,431)|
|Adjustment for deadweight cost of program||$0||$0||$0||($1,948)||($1,948)|
|Detailed Annual Cost Estimates Per Participant|
|Annual cost||Year dollars||Summary|
|Program costs||$3,905||2016||Present value of net program costs (in 2016 dollars)||($3,906)|
|Comparison costs||$0||2016||Cost range (+ or -)||60 %|
|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.|
|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|
|Alcohol use before end of middle school||15||2||311||-0.109||0.204||16||-0.109||0.204||18||-0.134||0.511|
|Cannabis use before end of middle school||15||1||76||-0.260||0.225||16||-0.260||0.225||18||-0.260||0.246|
|Grade point average^||15||3||322||0.047||0.087||17||n/a||n/a||n/a||0.106||0.226|
|High school graduation||15||2||758||0.101||0.143||18||0.101||0.143||18||0.293||0.040|
|Office discipline referrals^||15||1||179||0.048||0.124||15||n/a||n/a||n/a||0.125||0.316|
Aseltine, R.H., Dupre, M., & Lamlein, P. (2000). Mentoring as a drug prevention strategy: An evaluation of Across Ages. Adolescent and Family Health 1(1), 11-20.
Blakely, C.H., Menon, R., & Jones, D.J. (1995). Project BELONG: Final report. College Station, TX: Texas A&M University, Public Policy Research Institute.
Buman, B., & Cain, R. (1991). The impact of short term, work oriented mentoring on the employability of low-income youth. Minneapolis, MN: Minneapolis Employment and Training Program.
Cave, G., & Quint, J. (1990). Career Beginnings impact evaluation: Findings from a program for disadvantaged high school students. New York, NY: Manpower Demonstration Research Corporation.
Hanlon, T.E., Bateman, R.W., Simon, B.D., O'Grady, K.E., & Carswell, S.B. (2002). An early community-based intervention for the prevention of substance abuse and other delinquent behavior. Journal of Youth and Adolescence, 31(6), 459-471.
Johnson, A. (1999). Sponsor-a-Scholar: Long-term impacts of a youth mentoring program on student performance. Princeton, NJ: Mathematica Policy Research.
O'Donnell, C.R., Lydgate, T. & Fo, W.S.O. (1979). The Buddy System: Review and follow-up. Child Behavior Therapy, 1, 161-169.