Projects
Apprenticeship Evidence-Building Portfolio
2019-2025
Project Overview
Objective
To expand adoption of apprenticeship nationwide by building the evidence base on promising approaches to apprenticeship training, including impact and implementation studies of several recent federal grants and studying state efforts to expand apprenticeship.
Project Motivation
The U.S. Department of Labor (DOL) seeks to build and expand the evidence portfolio on apprenticeships, including models, components, partnerships, and strategies as well as how approaches work across industries and groups of apprentices.
Partners in Progress
The Urban Institute, Capital Research Corporation
Prepared For
U.S. Department of Labor
Chief Evaluation Office
A portfolio of studies that expands the evidence base for apprenticeship models across industries and populations.
The Apprenticeship Evidence-Building Portfolio is a series of studies of federal investments in apprenticeship expansion as well as state approaches to apprenticeship. Mathematica partnered with the Urban Institute and Capital Research Corporation on several studies in the portfolio, including
- impact, implementation, and cost-benefit studies of two federal grant programs: (1) the Scaling Apprenticeship Through Sector-Based Strategies and (2) the Apprenticeship: Closing the Skills Gap grants
- a series of reports on State Apprenticeship Capacity based on the experiences of 8 states
The portfolio also includes studies of federal grants through the VETS Transition Assistance Program (TAP), Women in Apprenticeship and Nontraditional Occupations (WANTO), and Youth Apprenticeship Readiness Grants (YARG), and a study of occupations in construction.
Evidence & Insights From This Project
Publication
Understanding the Capacity of State Apprenticeship Systems: Apprenticeship Evidence-Building Portfolio
This report provides an overview of federal support for state apprenticeship systems and discusses variation across states in terms of system characteristics. The study will collect additional data from selected states informed by this variation to be presented in a series of briefs.
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