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CLEAR's mission is to make research on labor topics more accessible to practitioners, policymakers, researchers, and the public more broadly so that it can inform their decisions about labor policies and programs. CLEAR identifies and summarizes many types of research, including descriptive statistical studies and outcome analyses, implementation, and causal impact studies. For causal impact studies, CLEAR assesses the strength of the design and methodology in studies that look at the effectiveness of particular policies and programs.

  • Registered Apprenticeship program significantly boosts jobs, earnings

    Compared to nonparticipants, workers in the program earned up to $6,595 more per year and increased their employment rates by nearly 9 percentage points.

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    Registered Apprenticeship program significantly boosts jobs, earnings
  • New Rapid Review Synthesis Reports

    CLEAR uses a streamlined, rapid evidence review process to summarize existing and emerging evidence on trending research topics.

    Topics include remote employment service delivery, remote compliance assistance and enforcement, and return-to-work strategies in response to COVID-19, among others.

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    Text reading: "What strategies can support workers and employers during and after the COVID-19 pandemic?" next to an image of a book opened to a page containing a picture of a red coronavirus.
    New Rapid Review Synthesis Reports
  • Reemployment and Eligibility Assessment (REA) program cuts UI duration, increases employment and earnings

    The study found that Unemployment Insurance (UI) claimants who participated in REA received significantly fewer weeks of UI benefits, worked more quarters, and earned more, than claimants who did not participate in the program.

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    Text reading: " REA participants received UI for 1.3 fewer weeks and earned $465 more over one year" next to an illustrated image of a briefcase.
    Reemployment and Eligibility Assessment (REA) program cuts UI duration, increases employment and earnings

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