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Resource Library
In 2022, the Chief Evaluation Office (CEO) partnered with the Employment and Training Administration’s (ETA) Reentry Employment Opportunity (REO) Program to fund Mathematica, Inc. and its subcontractors—RTI International and Abt Associates—to conduct the Partners for Reentry Opportunities in Workforce Development (PROWD) Grants Evaluation. The PROWD grants effort is a first-of-its-kind partnership between DOL and the U.S.
This webpage provides the most recent statistics on women in the labor force, including occupations, earnings, and labor force participation by location or presence of children. It also includes charts showing labor force participation, unemployment rates, and educational attainment of women veterans, as compared to male veterans or women nonveterans.
The report provides the findings of the implementation of a quasi-experimental design to understand how changing labor market conditions associated with the pandemic affect opioid use.
The brief summarizes the input on research priorities gathered from stakeholders and experts by the WIOA Research Portfolio project team between November 2020 and April 2021. The timing of these discussions provides important context for the findings. Many discussions were held during a surge in cases of COVID-19, when social distancing measures were widespread. Other discussions were held after the vaccines were becoming widely available and restrictions were being lifted. The conversations also spanned two different presidential administrations.
The report summarizes 46 impact evaluations that focus on programs that embed elements of the career pathways approach. In the past decade, the career pathways approach to workforce development emerged as a promising strategy to promote long-term earnings advancement and self-sufficiency by helping workers attain in-demand postsecondary credentials (Fein, 2012). The approach involves a combination of rigorous and high-quality education, training, and other services to support participant success (WIOA, 2014).
The brief summarizes findings of the Career Pathways Descriptive and Analytical Project’s meta-analysis study, which analyzes research on the impacts of 46 career pathways programs, based on evaluation findings published between 2008 and 2021. The brief first describes the programs and participants in the evaluations included in the meta-analysis. It then discusses the study’s overall impact findings and the findings about which program characteristics were associated with impacts, as well as the implications of each for policymakers, practitioners, and researchers.
The literature review aims to examine the roles and activities of navigator programs in workforce development and related fields as well as the outcomes and impacts of such programs. To address these goals, researchers identified and reviewed relevant literature published between 2010 and 2021. They also reviewed the bibliographic references of the identified articles for additional materials.
The report provides the results of an analysis of secondary data to understand how nonmedical use of prescription pain relievers varied across states, industries and occupations, and other worker characteristics.
The paper presents a new analysis examining gender and racial/ethnic differences in wage growth among workers in the United States who, between the ages of 18 and 34, entered occupations that require some training or experience beyond a high school degree, but do not necessarily require a college degree (referred to as “mid-level” occupations). The paper includes implications for policymakers and practitioners.
The report of the Career Pathways Descriptive and Analytical Project focuses on “mid-level” occupations—occupations that typically require education or experience beyond a high school diploma or equivalent, but less than a four-year college degree. The report presents study findings on the magnitude of the differences between occupations in the career outcomes that entrants go on to experience within 10 years after entering, which occupations are associated with high wage growth, and what traits of occupations predict higher wage growth.