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Stay-at-Work/Return-to-Work (SAW/RTW) programs intend to help a worker who experiences an illness or injury to remain at work, or if the worker has left the labor force, to return as soon as medically possible. The report analyzes public data to estimate the characteristics of the SAW/RTW target population and examine pathways from illness/injury to federal disability benefits as a way to identify opportunities for intervention.
Stay-at-Work/Return-to-Work (SAW/RTW) programs intend to help a worker who experiences an illness or injury to remain at work, or if the worker has left the labor force, to return as soon as medically possible. The report presents five options for new research to build evidence about the target populations for SAW/RTW and to test the effects of interventions on employment outcomes.
The report provides intervention and evaluation designs for two behavioral intervention (BI) trials that, if implemented, would test whether webinar registrations increase when behavioral strategies are applied to emails targeting a given industry. To design the study, researchers followed a six-step process developed by the U.S. Department of Labor (DOL) for designing and conducting BI studies that has resulted in trials that produce meaningful evidence.
The report examines information from a literature and database review that identified knowledge gaps, discussions with Wage and Hour Division (WHD) about compliance strategies, and discussions with a panel of experts about compliance strategies. The researchers then developed a framework for WHD and other agencies to consider when designing processes for monitoring and evaluating strategies and outcomes.
The report supplements the Wage and Hour Division’s (WHD) Compliance Strategies Evaluation by exploring whether and how data that are housed outside of WHD could be integrated with WHD’s administrative data. The researchers explored how external data can be integrated with WHD’s case management system, the Wage and Hour Investigative Support and Reporting Database (WHISARD), and the limitations of doing so.
The U.S. Department of Labor (DOL)’s Chief Evaluation Office (CEO), in partnership with the Wage and Hour Division (WHD) contracted with Mathematica Policy Research to synthesize existing literature and data related to WHD compliance strategies.
The literature scan highlights promising applications of behavioral insights to challenges that are specifically relevant to U.S. Department of Labor (DOL) programs, workers, job seekers, and employers. It synthesizes this information for DOL and others who are interested in applying behavioral interventions to address challenges within the labor context. DOL’s own work in this area contributes to this evidence base. Suggestions of areas in which to extend this body of work are also noted.
The report presents findings on plan filings of Form 5500 using data from 2000 to 2016. The Employee Benefits Security Administration (EBSA) administers and enforces the reporting, disclosure, and fiduciary requirements of Title I of the Employee Retirement Income Security Act of 1974. Each year, employee benefit plans are required to submit Form 5500 to EBSA to report information about the plan. Form 5500 captures important employee benefit plan information on plan type, plan administration, and plan benefits.
This study includes a systematic review of existing evidence on the intersection of the opioid epidemic and workers’ compensation programs administered by public and private payers. The study will analyze existing evidence and identify innovative interventions and initiatives that may be relevant to the Federal Employees’ Compensation Act (FECA) client/customer population, and will develop research and evaluation design options for generating new evidence in the field.
In September 2015, the U.S. Department of Labor (DOL) contracted with IMPAQ International and its partner ideas to conduct an exploratory study of the customer experience at American Job Centers (AJCs). The purpose of this study is threefold: 1) to learn more about the customer experience in AJCs, 2) to highlight promising practices in those AJCs, and 3) to produce a set of behavioral science-based strategies that could enhance the AJC customer experience.