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In the issue brief, researchers use simulation results from the Worker Paid Leave Usage Simulation (Worker PLUS) Model to analyze the impacts of moving from the unpaid leave system under the current Family and Medical Leave Act to a system that includes a paid leave program that adopts the program rules of the existing program in California. The population considered consists of individuals who work in the state of Maryland who meet the eligibility rules of the California program, and among them, the low-wage workers who earn no more than $30,000 annually.

The brief provides a step-by-step guide to performing example simulations using the Worker Paid Leave Usage Simulation (Worker PLUS) model. With this guide, users should be able to replicate the provided example of model running using either the Python or the R simulation engine, and to check how the simulation results compare against actual program data for existing state programs in California, New Jersey, and Rhode Island.

To help researchers, policy analysts, and interested members of the public gain better understanding of the Worker Paid Leave Usage Simulation (Worker PLUS) Model and its applications in policy analysis, researchers present an issue brief series to supplement the model documentation files.

In the issue brief, researchers provide a benchmarking study of the Worker Paid Leave Usage Simulation (Worker PLUS) Model simulation results. The results from the Worker PLUS model are compared to those from an existing paid leave simulation model developed by Albelda and Clayton-Matthews (2017, the ACM model) and actual program administrative data. Simulation results compared include program benefit outlays and program participation for three state paid leave programs in California, New Jersey, and Rhode Island.

The issue brief provides a benchmarking study of the Worker Paid Leave Usage Simulation (Worker PLUS) Model’s Benefit Financing module. Researchers compare payroll tax revenue estimates from Worker PLUS to actual program administrative data for three state paid leave programs (California, New Jersey, and Rhode Island). The study shows that the Benefit Financing module produces conservative revenue estimates in these cases, by underestimating the payroll tax revenue by about 10% to 15%.

This is a companion template to the Worker Paid Leave Usage Simulation model, or Worker PLUS model, and is part of two supplementary resources on administrative costs. It is a starting template of standard administrative cost categories observed in paid family and medical leave (PFML) programs as a platform to plan, estimate, and test the administrative costs of running a new program. The Excel template is available to users when they download the model.

This is a companion document to the Worker Paid Leave Usage Simulation model, or Worker PLUS model, and is part of two supplementary resources on administrative costs. The second supplementary resource is an Excel template, titled “Administrative Cost Excel Template,” which presents a starting template of standard administrative cost categories observed in paid family and medical leave (PFML) programs as a platform to plan, estimate, and test the administrative costs of running a new program. The Excel template is available to users when they download the model.

In 2018, the Chief Evaluation Office (CEO) partnered with the Employment and Training Administration (ETA) to fund contractor The Urban Institute to design and conduct an evaluation that examines critical policy issues, lessons learned, and challenges states faced administering Unemployment Insurance (UI) programs during the Great Recession that began in 2007 and the economic recovery that followed.

In 2018, the Chief Evaluation Office (CEO) partnered with the Employment and Training Administration (ETA) to fund contractor The Urban Institute to design and conduct an evaluation that examines critical policy issues, lessons learned, and challenges states faced administering Unemployment Insurance (UI) programs during the Great Recession that began in 2007 and the economic recovery that followed. Additionally, the opportunity to study these topics as they relate to the COVID-19 pandemic was incorporated into the study.

Previous Wounded Warrior Project® (WWP) research found that women warriors experience military sexual trauma (MST), anxiety, and depression at higher rates than male warriors. To gain a deeper understanding of these issues, WWP developed the Women Warriors Initiative to better understand, empower, and advocate for these women warriors who have served our nation.