Cookies?
Library Header Image
LSE Research Online LSE Library Services

The impacts of paid family and medical leave on worker health, family well-being, and employer outcomes

Bartel, Ann, Rossin-Slater, Maya, Ruhm, Christopher, Slopen, Meredith and Waldfogel, Jane (2023) The impacts of paid family and medical leave on worker health, family well-being, and employer outcomes. Annual Review of Public Health, 44. pp. 429-443. ISSN 0163-7525

[img] Text (annurev-publhealth-071521-025257) - Published Version
Available under License Creative Commons Attribution.

Download (335kB)

Identification Number: 10.1146/annurev-publhealth-071521-025257

Abstract

This article reviews the evidence on the impacts of paid family and medical leave (PFML) policies on workers' health, family well-being, and employer outcomes. While an extensive body of research demonstrates the mostly beneficial effects of PFML taken by new parents on infant, child, and parental health, less is known about its impact on employees who need leave to care for older children, adult family members, or elderly relatives. The evidence on employers is similarly limited but indicates that PFML does not impose major burdens on them. Taken together, the evidence suggests that PFML policies are likely to have important short- and long-term benefits for population health, without generating large costs for employers. At thesame time, further research is needed to understand the effects of different policy parameters (e.g., wage replacement rate and leave duration) and of other types of leave beyond parental leave.

Item Type: Article
Additional Information: © 2023 The Author.
Divisions: STICERD
Subjects: R Medicine > RA Public aspects of medicine > RA0421 Public health. Hygiene. Preventive Medicine
H Social Sciences > HQ The family. Marriage. Woman
Date Deposited: 21 Apr 2023 14:33
Last Modified: 11 Nov 2024 17:24
URI: http://eprints.lse.ac.uk/id/eprint/118703

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year

View more statistics