About the Study

In 2023, the Women's Bureau funded the Urban Institute to conduct the project Understanding Equity in Paid Leave through Microsimulation Analysis. Through a literature review and data analysis, this project aims to explore the distributional outcomes and impact of certain state and federal policies on paid leave access and usage, including research identifying who is least likely to have gained access to paid leave through various state and federal policy interventions.

This project utilized the Worker Paid Leave Usage Simulation (Worker PLUS) model, which employs public microdata from the Department of Labor's Family and Medical Leave Act (FMLA) Employee Survey to train simulation models for individual-level needs and behaviors. The Urban Institute's Analysis of Transfers, Taxes, and Income Security (ATTIS) microsimulation model provided insights on how a public paid family and medical leave benefit might impact employment and incomes as well as how the policy would interact with other income support programs such as TANF, EITC and SNAP.

A series of reports and briefs were prepared to help researchers, policy analysts and the public understand how paid family and medical leave and means-tested programs interact at the national and state levels. The reports show that:

  • If the U.S. were to implement a national paid family and medical leave, 97% of workers would be eligible for benefits under the program.
  • A national paid family and medical leave program would reduce poverty across all communities and would reduce the poverty gap among workers, especially Black and Hispanic workers.
  • There are several models for a national paid family and medical leave program, and the structure of the policy has significant implications for workers. Factors such as broad worker coverage so a greater number of workers can take leave; progressive wage replacement to ensure that those with the greatest need receive a higher percentage of their income; and other features would increase equity and access to and use of paid leave for workers.

Learn more about the findings below: