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Interest and participation in short-term training programs have increased in recent years, highlighting the need to understand how program participants’ employment and earnings change over time. Looking only at participants’ average outcomes at specific points in time overlooks the potential variation in people’s experiences over time.
Program developers and program staff need to understand how participant characteristics relate to training completion so that they can identify strategies and services needed for success and design programs to encourage training completion. The H-1B TechHire Partnership Grants (TechHire) and the Strengthening Working Families Initiative (SWFI) were designed to provide funding for programs that would make training more accessible to individuals who might otherwise experience barriers to training and employment.
In 2016, the Department of Labor’s (DOL) Chief Evaluation Office, in partnership with the Employment and Training Administration, contracted with Westat and its partner MDRC (the evaluation team) to conduct an evaluation of the strategies used in the H-1B TechHire Partnership (TechHire) and Strengthening Working Families Initiative (SWFI) grant programs and measure the programs’ impacts on participants’ outcomes. DOL and the evaluation team selected five of the 53 TechHire and SWFI programs to participate in a randomized controlled trial, or impact study.
In 2016, the Chief Evaluation Office of the Department of Labor (DOL) contracted with Westat and its partner MDRC (the evaluation team) to conduct an evaluation of the strategies used in the H-1B TechHire Partnership (TechHire) and Strengthening Working Families Initiative (SWFI) grant programs and measure the programs’ impacts. This short paper describes the labor market outcomes of participants in the grant programs, combining data from two administrative sources.
Registered apprenticeship (RA) data and statistics, such as data on apprentice retention, demographics, wages, and credential attainment, can be used for reporting purposes, ongoing program monitoring and improvement efforts, and assessing apprenticeship expansion strategies. The purpose of this brief is to describe the current state approaches to apprenticeship data collection, identify promising practices and opportunity areas to improve data systems, and share ideas to support apprenticeship expansion.
The impact study estimated the impacts Reentry Project (RP) program participation had on employment, earnings, and criminal justice system involvement. It did so by comparing the outcomes of RP program participants to a comparison group of people with prior criminal justice involvement who received light-touch employment services from the Wagner-Peyser program.
The impact study estimated the impacts Reentry Project (RP) program participation had on employment, earnings, and criminal justice system involvement. It did so by comparing the outcomes of RP program participants to a comparison group of people with prior criminal justice involvement who received light-touch employment services from the Wagner-Peyser program.
Multiple agencies and programs within DOL may have a need to identify different categories of organizations they work with. For example, they may seek to identify employment service providers, benefits providers, local unions, or even specific types of employers. Such identification can support data collection, outreach, compliance, and enforcement activities. However, characteristics of organizations relevant to the activity are not always available in datasets, making it difficult to identify the organizations needed for contact.
This brief provides recommendations for implementing administrative data collection practices that support the research needs of federal departments and agencies. The brief describes the process and feasibility of using administrative data to conduct an implementation study of the National Construction Safety and Health Achievement Recognition Program (SHARP) Pilot (NCSP).
This brief presents findings from the exploratory study to examine the feasibility of implementing a Unemployment Insurance (UI) program in Guam. It identifies factors relevant to UI program implementation in Guam and describes five potential UI program design options, specifying how the factors would work for Guam depending on program design option.