The COVID-19 pandemic and ensuing economic recession have underscored that job quality varies across workers, resulting in uneven impacts on worker health, wealth, and stability. Black and Latine workers, who disproportionately hold low-paying and "essential" jobs, were more likely to feel these negative impacts. Racial disparities in job quality are not new but are long-standing fixtures of the US labor market. This brief summarizes what we know about racial disparities in job quality and some of the causes behind them.
The child care subsidy system supports both parents' ability to work and children's healthy development by helping parents with low incomes pay for child care so they can work or go to school or training. Yet many questions remain about equity in the subsidy system: To what extent does it consider inequities that Black and Latino families and immigrant families can face because of structural racism? Specifically, do subsidy policies and practices ensure that families facing barriers rooted in structural racism can access child care subsidies?
The State Temporary Assistance for Needy Families (TANF) Case Studies project is designed to expand the knowledge base on innovative approaches to help people with low income, including TANF recipients, prepare for and engage in work and increase their overall stability. Mathematica and its subcontractor, MEF Associates, were contracted by the Administration for Children and Families (ACF) to develop descriptive case studies of nine innovative state and local programs. The programs were chosen through a scan of the field and discussions with stakeholders.
To date, little is known about how employment programs for young people with histories of foster care operate and whether they are effective in promoting positive employment outcomes. A key finding from the Multi-Site Evaluation of Foster Youth Programs is that many programs serving Chafee-eligible young people are not ready for rigorous evaluation because they lack a clearly articulated logic model or are not implemented as intended. This study fills a knowledge gap using formative evaluation to illustrate what is needed for programs to be ready for successful rigorous impact evaluation.
The State Temporary Assistance for Needy Families (TANF) Case Studies project is designed to expand the knowledge base on innovative approaches to help people with low incomes, including TANF recipients, prepare for and engage in work and increase their overall stability. Mathematica and its subcontractor, MEF Associates, were contracted by the Administration for Children and Families (ACF) to develop descriptive case studies of nine innovative state and local programs. (author abstract)
Children develop fastest in their earliest years, and the skills and abilities they develop in those years help lay the foundation for future success. Early negative experiences can contribute to poor social, emotional, cognitive, behavioral, and health outcomes both in early childhood and in later life. One approach that has helped parents and their young children is home visiting, which provides individually tailored support, resources, and information to expectant parents and families with young children.
In March of 2020, the COVID-19 pandemic struck the United States. Every part of America has been affected while its existing inequities have been both highlighted and worsened. Without minimizing the damage this pandemic has inflicted on many families, this brief from MDRC, the Alliance for Excellent Education, and the Education Trust reminds educational leaders that many students have also grown tremendously from the events they have experienced.
This brief summarizes results from a 2019 needs assessment of the capacity of Temporary Assistance for Needy Families (TANF) programs in 54 U.S. states and territories to analyze data used for the purposes of program improvement, monitoring, and evidence-building. It highlights areas of strength and success in how these agencies use data, as well as areas for growth. It also includes suggested strategies that may improve data use by TANF agencies.
Black immigrant domestic workers are at the epicenter of three converging storms—the pandemic, the resulting economic depression, and structural racism. Intersectional identities such as Black, immigrant, woman, and low-wage worker make these essential workers some of the most invisible and vulnerable workers in our country.