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UNITED STATES DEPARTMENT OF LABOR

To help practitioners find high-quality research to support RESEA program development and improvement, CLEAR has catalogued RESEA studies and assigned evidence ratings to indicate RESEA intervention effectiveness.

Here you can find which interventions have received high or moderate ratings, based on findings from rigorous causal impact studies. You can also delve into summaries of individual studies of interventions that you are interested in, to learn details such as the design of those interventions, the contexts where interventions were studied, the outcomes that were examined, and the sizes of impacts that were found. Those details can help you apply evidence to decisions regarding your own programs.

Latest Findings

Adding subsequent RESEA meetings appears to increase program impact, with indications that assistance provided and the requirement to attend are contributors to impacts.

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Filter 19 studies on RESEA interventions:

You are viewing 1 - 4 of 4 studies

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Intervention: Reemployment Eligibility Assessment

High Intervention Evidence Rating

The Nevada claimant placement project (Steinman 1978)

Study Type: Causal Impact Analysis

Causal Evidence Rating: Low Causal Evidence

Outcome Findings:

Intervention: Less stringent work search requirements

No Rating Intervention Evidence Rating

The effects of eliminating the work search requirement on job match quality and other long-term employment outcomes. (Lachowska et al. 2015)

Study Type: Causal Impact Analysis

Causal Evidence Rating: High Causal Evidence

Outcome Findings:

Intervention: Reemployment Eligibility Assessment

High Intervention Evidence Rating

Long-term effects of job-search assistance: Experimental evidence using administrative tax data (Manoli et al. 2018)

Study Type: Causal Impact Analysis

Causal Evidence Rating: High Causal Evidence

Outcome Findings:

Intervention: Reemployment Eligibility Assessment

High Intervention Evidence Rating

Evaluation of impacts of the Reemployment and Eligibility Assessment (REA) Program: Final report (Klerman et al. 2019)

Study Type: Causal Impact Analysis

Causal Evidence Rating: High Causal Evidence

Outcome Findings: