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Unemployment Insurance: More Guidance and Evaluation of Worker-Profiling Initiative Could Help Improve State Efforts

GAO-07-680 Published: Jun 14, 2007. Publicly Released: Jun 14, 2007.
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Highlights

Changes to the U.S. economy have led to longer-term unemployment. Many unemployed workers receive Unemployment Insurance (UI), which provided about $30 billion in benefits in 2006. In 1993, Congress established requirements--now known as the Worker Profiling and Reemployment Services (WPRS) initiative--for state UI agencies to identify claimants who are most likely to exhaust their benefits, and then refer such claimants to reemployment services. To assess the implementation and effect of the initiative, GAO examined (1) how states identify claimants who are most likely to exhaust benefits, (2) to what extent states provide reemployment services as recommended by the Department of Labor (Labor), and (3) what is known about the effectiveness of the initiative in accelerating reemployment. To answer these questions, we used a combination of national data; review of seven states, including visits to local service providers in four states; and existing studies and interviews with Labor and subject matter experts.

Recommendations

Recommendations for Executive Action

Agency Affected Recommendation Status
Department of Labor To better ensure that claimants who need and could benefit from reemployment services are referred, and to ensure that resources are not unnecessarily expended on claimants not needing them, the Secretary of Labor should reevaluate the agency's worker-profiling data collection to determine whether it is sufficient for its intended purpose. The agency might assess gaps in data, evaluate data consistency, confer with states on what data would be beneficial to them, determine the purpose of the data collection and for whose benefit the data are collected, and modify what Labor requires states to collect.
Closed – Not Implemented
As of July 2011, the Department of Labor had not re-evaluated the agency's worker-profiling data collection to determine whether it is sufficient for its intended purpose. According to Labor, the Department has provided states with information to improve the quality and consistency of data collected and has encouraged them to use information collected to target services, but several factors have prohibited Labor from performing a comprehensive re-evaluation. These factors include the severity of the economic recession, the dramatic increase in volume and types of services offered, and the difficulty in evaluating the effectiveness of any re-employment intervention when hiring is at...
Department of Labor To better ensure that claimants who need and could benefit from reemployment services are referred, and to ensure that resources are not unnecessarily expended on claimants not needing them, the Secretary of Labor should ensure that the Employment and Training Administration takes a more active role to help ensure the accuracy of the state profiling models. The agency might track states' management of their models and actively encourage review and updating of models in specific states where there have been no efforts to adjust the model for a number of years. The agency could also assess whether an expanded technical assistance effort is needed, and, if so, take the lead in developing one.
Closed – Implemented
On November 16, 2007, the agency issued a paper on the profiling models. The paper and its summary on the web, prepared by the the Employment and Training Administration, recommended 5 best practices for improving the models.
Department of Labor To better ensure that claimants who need and could benefit from reemployment services are referred, and to ensure that resources are not unnecessarily expended on claimants not needing them, the Secretary of Labor should encourage states to adhere to Labor's vision for in-depth reemployment services, such as conducting individualized needs assessments and developing individual service plans, or issue updated guidance if this original vision would be too burdensome for the states.
Closed – Implemented
The Department of Labor has held conferences, hosted webinars, provided technical assistance, and developed a virtual community of practice in order to encourage states to adhere to Labor's vision for in-depth re-employment services. According to Labor, the Employment Training Administration (ETA) has held a national re-employment conference, six regional re-employment conferences, and a re-employment summit. During the summit, Labor rolled out a new vision for re-employing unemployment insurance claimants and reports that the Department has since provided funding to pilot the use of worker profile data to support decisions about service delivery and inform customer career decisions....
Department of Labor To better ensure that claimants who need and could benefit from reemployment services are referred, and to ensure that resources are not unnecessarily expended on claimants not needing them, the Secretary of Labor should evaluate the impact of the worker-profiling program on the reemployment of UI recipients to ensure the benefits are commensurate with the resources invested.
Closed – Not Implemented
As of July 2011, the Department of Labor had not evaluated the impact of its worker profile program on the re-employment of unemployment insurance recipients. According to the Labor, the Employment Training Administration (ETA) has been unable to evaluate its worker profiling program due to the increased numbers of unemployment insurance claimants stemming from the recent economic downturn. ETA is interested in evaluating the program, as resources permit, when the economy recovers. Labor stated that the worker profiling program has played a critical role in providing targeted services to the increasing number of unemployment insurance claimants, and has supported states' ability to use...

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Topics

ClaimsData collectionEmploymentEmployment assistance programsEvaluation methodsstate relationsLabor statisticsProgram evaluationReemploymentState-administered programsStatistical dataStatistical methodsUnemployment compensation programsUnemployment insuranceUnemployment ratesProgram implementation