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The paper compares leave experiences of low-wage and non-low wage workers using data from the 2018 Family and Medical Leave Act (FMLA) Employee Survey. It finds that in some ways experiences are similar—both groups take needed leave at similar rates for similar reasons. In other ways experiences are very different and worse for low-wage workers—they less commonly have access to paid leave or are eligible for FMLA protections and more commonly face adverse financial and job consequences from taking leave.
In 2020, the Chief Evaluation Office funded contractor American Institutes for Research (AIR) to develop and conduct an innovative assessment of the Department of Labor’s (DOL) capacity to generate and use evidence. This initial capacity assessment encompassed 16 DOL agencies and was designed to:
In 2020, Chief Evaluation Office (CEO) partnered with the Office of Apprenticeship (OA) and the Office of Policy Development and Research (OPDR) within the Employment and Training Administration (ETA) and funded contractors Urban Institute and Mathematica to conduct the State Apprenticeship Capacity Assessment under the Apprenticeship Evidence-Building Portfolio of studies.
The U.S. Department of Labor’s (DOL) Employee Benefits Security Administration (EBSA), in conjunction with the Internal Revenue Service (IRS) and the Pension Benefit Guaranty Corporation (PBGC), publishes the Form 5500 Annual Return/Report of Employee Benefit Plan (Form 5500) and the Short Form Annual Return/Report of Small Employee Benefit Plan (Form 5500-SF).
In 2017, the Chief Evaluation Office (CEO) partnered with the Employee Benefits Security Administration (EBSA) and funded contractor Summit Consulting to conduct An Analysis of Benefit Plans Auditors under the Administrative Data Research and Analysis portfolio of studies. The statistical analysis aims to analyze trends in employee benefit plan audit quality, particularly when plan administrators change certified public accountant (CPA) firms.
The report presents findings from a trend analysis of benefit plan auditors using 5500 filing data and audit reviews conducted by Employee Benefits Security Administration (EBSA) between plan years 2011 and 2015. EBSA administers and enforces the reporting, disclosure, and fiduciary requirements of Title I of the Employee Retirement Income Security Act of 1974 (ERISA). EBSA’s Office of the Chief Accountant, Division of Accounting Services enforces annual audit requirements of employee benefit plans.
In 2021, the Chief Evaluation Office (CEO) funded contractors ICF International and their partners (American Institutes for Research and Advocates for Human Potential) and Abt Associates and their partners (MEF Associates and AnLar) to support the Clearinghouse for Labor Evaluation and Research (CLEAR) program through two CLEAR ARISE contracts. CLEAR ARISE’s work is informed by DOLs annual learning agenda process and emerging agency priorities.
In 2018, the Chief Evaluation Office (CEO) partnered with the Office of Workers’ Compensation Programs (OWCP) and funded contractor Summit Consulting to conduct Return-to-Work Outcomes for Federal Employees in the Office of Workers’ Compensation Disability Management Program under the Administrative Data Research and Analysis portfolio of studies.
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