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Portfolio Study Deliverable
In 2017, the Chief Evaluation Office (CEO) partnered with the Employment and Training Administration (ETA) and funded contractor Mathematica Policy Research to conduct the National Job Corps Study: 20-Year Follow-Up Study Using Tax Data under the Administrative Data Research and Analysis portfolio of studies. This administrative data analysis aims to assess the long-term employment and earnings outcomes for Job Corps participants in the 1990s using tax data through 2015.
The U.S. Department of Labor (DOL) conducted a rigorous impact evaluation of the Job Corps program in the 1990s. The original National Job Corps Study was a large scale random assignment evaluation to examine program impacts on participants’ employment related outcomes. The design involved the random assignment of all eligible applicants nationwide between 1994 and early 1996 to a program or control group. The study participants are now between the ages of 38 and 46.
Appendices to the National Job Corps Study: 20-Year Follow-Up Study Using Tax Data Final Report. Appendix A presents additional tables of impact results referenced in the main report. Appendix B presents additional details on the tax data, the construction of outcome variables, and analytic methods used to estimate the impacts and interpret them.
In 2017, the Chief Evaluation Office (CEO) partnered with the Employment and Training Administration (ETA) and funded contractor Mathematica Policy Research to conduct Data on Earnings: A Review of Resources for Research and Comparing Job Training Impact Estimates Using Survey and Administrative Data under the Administrative Data Research and Analysis portfolio of studies. The descriptive analyses aim to review potential opportunities and implications of using different
Secondary data analysis
The report documents and explores the strengths and drawbacks of data sources commonly used to produce impact estimates for evaluations of workforce development programs. Specifically, researchers use information from the Workforce Investment Act (WIA) Adult and Dislocated Worker Programs Gold Standard Evaluation to examine three data sources used to evaluate the impacts of access to services provided by the public workforce system’s Adult and Dislocated Worker programs, two of the largest, publicly-funded workforce development programs in the nation.
Earnings are a key outcome in evaluating the impact of job training and other employment- oriented assistance programs. Adequate and sustained earnings provide a reliable measure of success for these interventions and contribute to other positive outcomes as well. Accordingly, high quality data on the income earned from employment—including self-employment—are an essential component of any analysis that seeks to understand the consequences of participating in an employment-assistance program.
Secondary data analysis
Adult workers
In 2018, the Chief Evaluation Office (CEO) funded Mathematica Policy Research to conduct Data on Earnings: A Review of Resources for Research under the Administrative Data Research and Analysis portfolio of studies. This secondary data review describes data sources on wages and earnings that may be used by researchers who wish to incorporate reports of earned income in their analyses but original data collection is not feasible.
Adult workers
In 2017, the Chief Evaluation Office (CEO) partnered with the Employment and Training Administration (ETA) and funded Mathematica Policy Research to conduct the Comparing Job Training Impact Estimates using Survey and Administrative Data study under the Administrative Data Research and Analysis portfolio of studies.
In 2016, the Chief Evaluation Office (CEO) partnered with the Employment and Training Administration (ETA) to fund contractors Westat and MDRC to conduct an implementation study and randomized controlled trial (RCT) impact study of the H-1B-funded TechHire Partnership Grants (TechHire) and the Strengthening Working Families Initiative (SWFI). The Department of Labor awarded funds for both of these programs in September 2016.