New Dataset Opens Up for Multidisciplinary Research on Parental Leave

Sweden’s parental leave system is internationally renowned for its flexibility and extensive benefits. But understanding how the system works – and how it has changed over time – can be challenging, particularly for researchers. The new Swedish Parental Leave (SweParLe) Dataset aims to make that task easier. It provides a structured overview of the system’s main components, including eligibility requirements, the duration and timing of leave, financial compensation and changes to legislation since 1974.

”We believe this resource will foster further research on a system that is of great interest to the scientific community worldwide,” says Sol P. Juárez, professor at the Department of Public Health Sciences at Stockholm University.

The dataset was developed through two research projects situated at the Department of Public Health Sciences at Stockholm University and the Centre for Health Equity Studies (CHESS), a collaboration between Stockholm University and Karolinska Institutet.

The first project, led by Professor Sol P. Juárez, investigates unintended health consequences of Swedish parental leave policy. The second project, led by researcher Helena Honkaniemi, examines parental leave reforms and their mental health effects across the life course.

Supporting Research Across Disciplines

The SweParLe Dataset is primarily intended for policymakers and researchers who want to understand the complex Swedish system from a historical perspective or investigate parental leave policies.
It is a relevant resource for researchers across multiple disciplines beyond public health, including family demography, sociology, political sciences and other social sciences.

The dataset could also complement international comparisons of parental leave systems by providing more nuanced information on the Swedish system.

“We believe this resource will be of particular value to international researchers who may want to understand a notoriously complex system, with existing information either scattered across individual research studies or only available in legal documents that are naturally in Swedish,” explains Helena Honkaniemi, researcher at the Department of Public Health Sciences at Stockholm University.

The SweParLe Dataset brings together information that would otherwise require researchers to consult multiple legislative and historical sources. It includes a chronology of the Swedish parental leave system, descriptions of its main components and links to relevant legislation.

It also contains a structured list of variables and quantitative information that researchers can transfer to statistical software for analysis.

A Tool for Studying Policy and Health

The Swedish parental leave system is the topic of various public health-oriented studies, and there is a continued interest in evaluating how different policy components have shaped population health over time and across different groups, as indicated by the two research projects mentioned above.

“We are confident that this resource will support more research in this area, particularly by highlighting the role of family policies as social determinants of health,” Juárez says.

”By illustrating exactly how and when specific rules have been changed in the parental leave system, researchers can identify opportunities for studying effects on parental leave uptake and ensuing health consequences, especially in socioeconomically vulnerable groups”, Honkaniemi adss.

A Resource That Will Evolve

The dataset is designed to be a “living” resource which will be updated regularly as the Swedish parental leave system evolves. By making the system’s development easier to trace and its main features easier to analyse, the SweParLe Dataset provides a foundation for research into how family policy interacts with health and social conditions.

“This is a “living” dataset that we plan on keeping up-to-date by incorporating new developments and also expanding its coverage to include specific rules for different sub-populations, including single parents, parents of multiples or those with a foreign background,” Juárez and Honkaniemi state.

 For further information on and access to the SweParLe Dataset, go to the open repository for EU-funded research outputs from Horizon Europe, Euratom, and earlier Framework Programmes, Zenodo or to the Centre for Health Equity Studies´ (CHESS) website.

Håkan Soold