CEO Library

In 2022, the Chief Evaluation Office (CEO) partnered with the Mine Safety and Health Administration (MSHA) and commissioned contractor Summit Consulting, LLC (Summit) to conduct the Black Lung Incidence Study under the Administrative Data Research and Analysis portfolio of studies.

In 2021, the Chief Evaluation Office (CEO) funded contractor Westat Insight and their partner American Institutes for Research to conduct the Explorations in Data Innovations project under the Administrative Data Research and Analysis portfolio of studies. This use case study was designed to explore options around employing machine learning to create and maintain a public-facing, labor-related data catalog.

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.

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%.

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.

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.

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.

In the issue brief, researchers report findings from testing and validating the Worker Paid Leave Usage Simulation (Worker PLUS) using data from the 2018 U.S. Department of Labor Family and Medical Leave Act Employee Survey; the 2014–2018 American Community Survey Public Use Microdata Sample; and benefit outlay data published by state paid leave programs in California, New Jersey, and Rhode Island. The brief also discusses the implication of the model testing results on choice of simulation methods, assessment of program take-up rates, and estimation of program benefit outlays.

The issue brief provides a step-by-step guide to using the Worker Paid Leave Usage Simulation (Worker PLUS) Model to perform an example policy simulation of the recently proposed parental leave program for federal workers. The model uses as its intakes the 2018 U.S. Department of Labor (DOL) Family and Medical Leave Act Employee Survey and the sample of civilian employees at the federal government from the 2014–2018 American Community Survey Public Use Microdata Sample and applies program parameters that best reflect the proposed leave program.

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.

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.

In 2017, the Chief Evaluation Office (CEO) funded contractors IMPAQ International and the Institute for Women’s Policy Research (IWPR) to conduct the Microsimulation Model on Worker Leave. The goal of the study was to produce an updated, open-source, publicly available simulation tool based on the Albelda Clayton-Matthews/IWPR Paid Family and Medical Leave Simulation Model (ACM model).

The purpose of this project is to provide evaluation technical support to CEO in leveraging data and expertise to assemble knowledge and answer questions of interest to DOL.

The 1993 Family and Medical Leave Act (FMLA) allows eligible employees working for covered employers to take up to 12 work weeks of unpaid, job-protected leave for certain family and medical reasons.

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.

Using data from the 2018 Family and Medical Leave Act (FMLA) Employee Survey, the paper explores patterns of needing and taking leave from work for a family or medical reason—either for one’s own health, or to care for someone else. The 2018 FMLA Employee Survey asks U.S. employees about their need for leave for a family or medical reason, whether they took leave, and their experiences while on leave—all for the twelve months prior to the survey. This paper begins by exploring patterns in needing and taking leave between women and men.

The brief uses data from the 2018 Family and Medical Leave Act (FMLA) Employee Survey and Worksite Survey to summarize findings on employee access to paid leave benefits, pay received while on leave for a family or medical reason, pay and unmet need for leave. It also describes variation in findings between states that do and do not offer paid family and medical leave.

The brief uses data from the 2018 Family and Medical Leave Act (FMLA) Employee Survey to summarize findings on employee leave-taking rates and characteristics of leaves taken. The survey asked about family and medical leave, both for qualifying FMLA reasons and for care of non-immediate family members with serious health conditions (which does not typically qualify). Other medical reasons that are not serious health conditions, such as a sick day for a cold, are not included.

The brief uses data from the 2018 Family and Medical Leave Act (FMLA) Employee Survey to summarize findings on employee eligibility rates, reasons for ineligibility, differences in eligibility by employee characteristics, and knowledge of their own eligibility.

The methodology report appendices to the 2018 Family and Medical Leave Act (FMLA) surveys that include employee survey materials, employer survey materials, revision matrices, nonresponse follow-up employee survey materials, and employer survey response option experiment (detailed findings).

The report for the 2018 Family and Medical Leave Act (FMLA) surveys that details the methods used to conduct the surveys.

The supplemental results from the 2018 Family and Medical Leave Act (FMLA) surveys that provide key definitions and detailed survey results, including both more detailed information underlying exhibits presented in the technical report and additional exhibits not displayed in the technical report.

The executive summary of the 2018 Family and Medical Leave Act (FMLA) surveys that summarizes the conduct of the 2018 surveys and major findings.

The report of the 2018 Family and Medical Leave Act (FMLA) surveys, presenting findings, including comparisons between worksites covered and not covered by FMLA, between employees eligible and ineligible for FMLA, and over time.

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: