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The report provides descriptive statistics and associations between case characteristics (injury, claim, and claimant characteristics) and the outcomes of interest (return-to-work and disability management duration). Process diagrams and survival models complement the descriptive statistics. This report also assesses the similarities and differences in return-to-work rates and duration in disability management across case characteristics and timing and sequence of disability management services.
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
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.
The report of a study first to examine the Occupational Safety and Health Administration’s (OSHA’s) Federal Agency Targeting (FEDTARG) inspection program. Under the FEDTARG program, OSHA targets Federal worksites that have high lost time case (LTC) counts. The goal of the program is to reduce hazards, injuries and illnesses, and the costs associated with injuries and illnesses in Federal worksites.
The Chief Evaluation Office (CEO) works with other Department of Labor (DOL) agencies to conduct Administrative Data Research and Analysis (ADRA) studies. The various studies aim to examine administrative data sets from agencies within DOL and other federal agencies to provide timely responses to changing strategic agency priorities. Completed studies are listed below. New and ongoing studies will occur regularly.