This report from the national Employment Retention and Advancement Project demonstrates that low-income single-parent and two-parent families have a roughly equivalent need for services to support employment retention and advancement and that this need does not differ substantially between men and women in two-parent families.
Built on a research review and consultation with youth policy experts, this paper makes the case for developing a menu of approaches for the heterogeneous population of disconnected youth, building knowledge about mature programs (to better understand whether they work, for whom, and why), and creating new programs that address areas of unmet need. This framework may be particularly relevant for the Administration’s newly proposed Youth Innovation Fund.
The Youth Transition Demonstration, led by Mathematica Policy Research, MDRC, and TransCen, Inc., is developing and evaluating promising strategies to help youth with disabilities become as economically self-sufficient as possible as they transition from school to work. This report offers six overall implementation lessons to help policymakers and administrators develop, fund, and provide interventions for youth with disabilities.
Evidence from the UK Employment Retention and Advancement Demonstration
This study for the UK Department for Work and Pensions explores the attitudes of a sample of participants in the UK Employment Retention and Advancement program. This rare employment study on low-paid workers in the United Kingdom offers a foundation for understanding the receptivity of low-paid workers to programs that help them remain employed and advance.
Evidence from the UK Employment Retention and Advancement (ERA) Demonstration
The largest ever random assignment test of a social policy in Britain is being applied in a demonstration of the Employment Retention and Advancement (ERA) program. This report, written by MDRC and British colleagues as part of a consortium of social policy research firms and produced for the UK Department for Work and Pensions, examines how well random assignment worked.