This topic area focuses on youth aged 14-24 who have not recently been in school or the labor force. In particular, CLEAR identified research that examined interventions to provide opportunities for youth to improve their labor market outcomes. This includes research describing these interventions and their implementation, along with studies of the interventions’ effectiveness.
Opportunities for Youth
Status: Literature reviewed in this topic area currently covers 1992 - 2015.
Synthesis Reports
Synthesis reports look at the research evidence across studies within a topic area. They also highlight gaps in the literature, and suggest areas in which further research is needed.
Research provides strong evidence that NGYCP improves the educational outcomes of at-risk youth.
There is also strong evidence that NGYCP improves the labor market outcomes of at-risk youth.
A cost-benefit analysis found NGYCP produced large positive benefits.
NGYCP is a multi-component intervention, with little evidence on the effectiveness of specific components.
Successful programs often involved a substantial time commitment from participating youth.
Many successful programs involved a job placement component or job search assistance.
Positive impacts tended to be realized in the short term and fade over time.
More information is needed on the replicability of some programs.
Recently Added
CLEAR searches the existing literature for research relevant to this topic area's focus. Browse the most recently reviewed research below.
Study Type: Causal Impact Analysis
The study's objective was to examine the impact of monetary incentives on absences from work for adolescents employed in part-time jobs. The study used an interrupted time series design to…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of the Boston Summer Youth Employment Program (SYEP) on future work plans, academic aspirations, and job readiness skills. The study was a…Study Type: Implementation Analysis
The study’s objective was to assess the implementation of the Los Angeles Reconnections Career Academy (LARCA) program which provided high school dropouts in the Los Angeles area with education and…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of YouthBuild on employment, earnings, and education outcomes. The study was a randomized controlled trial that randomly assigned young adults to the…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of YouthBuild on employment, earnings, and education outcomes. The study was a randomized controlled trial that randomly assigned young adults to the…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of Year Up on education and earnings outcomes. The authors investigated similar research questions for other programs, the profiles of which can be…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Massachusetts Adolescent Outreach Program for Youths in Intensive Foster Care (Outreach) on youths’ education, employment, earnings, and public…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of Suffolk County’s juvenile drug court on recidivism. The study used propensity scores based on state and county administrative records to match…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of a juvenile treatment court in Anne Arundel County, Maryland, on recidivism. The authors used a nonexperimental design, matching youth who…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Washington State Juvenile Rehabilitation Administration’s mentoring program on recidivism. The author estimated the effect of the mentoring…
CLEAR Icon Key
Below is a key for icons used to indicate important details about a study, such as its type, evidence rating, and outcome findings.
High Causal Evidence
Strong evidence the effects are caused by the examined intervention.
Moderate Causal Evidence
Evidence that the effects are caused to some degree by the examined intervention.
Low Causal Evidence
Little evidence that the effects are caused by the examined intervention.
Causal Impact Analysis
Uses quantitative methods to assess the effectiveness of a program, policy, or intervention.
Descriptive Analysis
Describes a program, policy, or intervention using qualitative or quantitative methods.
Implementation Analysis
Examines the implementation of a program, policy, or intervention.
Favorable
The study found at least one favorable impact in the outcome domain, and no unfavorable impacts.
Mixed
The study found some favorable and some unfavorable impacts in the outcome domain.
None
The study found no statistically significant impacts in the outcome domain.
Unfavorable
The study found at least one unfavorable impact in the outcome domain, and no favorable impacts.
Not applicable
Not applicable because no outcomes were examined in the outcome domain.
Favorable - low evidence
The study found at least one favorable impact in the outcome domain, and no unfavorable impacts. The study received a low causal evidence ratings so these findings should be interpreted with caution.
Mixed - low evidence
The study found some favorable and some unfavorable impacts in the outcome domain. The study received a low causal evidence ratings so these findings should be interpreted with caution.
None - low evidence
The study found no statistically significant impacts in the outcome domain. The study received a low causal evidence ratings so these findings should be interpreted with caution.
Unfavorable - low evidence
The study found at least one unfavorable impact in the outcome domain, and no favorable impacts. The study received a low causal evidence ratings so these findings should be interpreted with caution.