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The Evaluation of the Reemployment and Eligibility Assessment (REA) Program was designed to estimate the impact of the REA program on Unemployment Insurance (UI) duration (the length of time claimants spent on UI, in weeks), employment, and earnings. The evaluation was conducted in four states—Indiana, New York, Washington, and Wisconsin— and included both an implementation study and a large impact study. The brief summarizes the results of the impact study, which randomly assigned more than a quarter of a million UI claimants in a multi-armed design over a one-year period.
The body of the Evaluation of Impacts of the Reemployment and Eligibility Assessment (REA) Program Impact Report is deliberately brief. This separate appendix volume provides additional detail. Appendix A develops a formal economic theory of REA-like programs. Appendix B provides additional detail on the econometric specification and other estimation issues.
The Evaluation of the Reemployment and Eligibility Assessment (REA) Program aimed to estimate the impact of the U.S. Department of Labor’s REA program, which supported states to address the reemployment needs of Unemployment Insurance (UI) claimants and to prevent and detect UI improper payments. The evaluation included both an implementation study and an impact study. The report presents the results of the impact study.
In 2020, the Chief Evaluation Office (CEO) partnered with the Employment and Training Administration (ETA) and funded contractor Mathematica Policy Research to conduct the Workforce Innovation and Opportunity Act (WIOA) Research Portfolio Project.
The literature review summarizes key challenges and strategies of states operating unemployment insurance (UI) programs during the Great Recession and its aftermath. Except when noted otherwise, “states” is used to refer to the 53 UI jurisdictions in the United States. This includes the 50 states, the District of Columbia, Puerto Rico, and the U.S. Virgin Islands. It is based on a targeted literature review for the U.S.
In 2018, the Chief Evaluation Office partnered with the Employment and Training Administration (ETA) to fund contractor Abt Associates to conduct the Reemployment Services and Eligibility Assessments (RESEA) Evidence Building and Implementation Study. This project's objectives are to work with DOL to develop strategies to support the evidence requirements in the Bipartisan Budget Act of 2018 that relate to the RESEA.
The state-Federal system of Unemployment Insurance (UI) programs has existed for 80 years. The programs in the states are financed by employer payroll taxes paid into state trust fund accounts maintained at the U.S. Treasury. These accounts are the source for benefit payments made to eligible unemployed 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.
The brief presents findings on the effects of 12-month information campaigns designed to increase employer awareness of Short-Time Compensation (STC) programs in Iowa and Oregon. The states ran their campaigns starting in mid-September 2014 in Iowa and late October 2014 in Oregon, and researchers tested the effects of this outreach using a random controlled trial (RCT) design in Iowa and the Portland metropolitan area of Oregon and a quasi-experimental design (QED) in Oregon outside of Portland.
Short-time compensation (STC), also known as work sharing, is an optional program within some state unemployment insurance systems. Under STC, employers experiencing a temporary reduction in business lower the average hours of employees in lieu of laying off workers. Employees whose hours are lowered receive Unemployment Insurance (UI) benefits in proportion to the reduction in their hours, while businesses retain valued employees and avoid future recruitment and training costs.