Hostname: page-component-89b8bd64d-shngb Total loading time: 0 Render date: 2026-05-12T03:51:05.038Z Has data issue: false hasContentIssue false

Selection into maternity leave length and long-run maternal health in Germany

Published online by Cambridge University Press:  12 September 2023

Lara Bister*
Affiliation:
Population Research Centre, Faculty of Spatial Sciences, University of Groningen, Groningen, Netherlands
Peter Eibich
Affiliation:
LEDa-LEGOS, Université Paris Dauphine, Paris, France
Roberta Rutigliano
Affiliation:
Department of Sociology and Social Work, University of the Basque Country (UPV/EHU), Leioa, Spain Research Group on Social Determinants of Health and Demographic Change—OPIK, Leioa, Spain
Mine Kühn
Affiliation:
Department of Sociology, School of Social and Behavioral Sciences, Tilburg University, Tilburg, Netherlands Max Planck Institute for Demographic Research, Rostock, Germany
Karen van Hedel
Affiliation:
Faculty of Social and Behavioural Sciences, Utrecht University, Utrecht, Netherlands
*
Corresponding author: Lara Bister; Email: l.bister@rug.nl
Rights & Permissions [Opens in a new window]

Abstract

Existing literature shows the importance of maternity leave as a strategy for women to balance work and family responsibilities. However, only a few studies focused on the long-run impact of maternity leave length on maternal health. Therefore, how exactly they are related remains unclear. We examine women’s selection into different lengths of maternity leave as a potential explanation for the inconclusive findings in the literature on the association between maternity leave and maternal health. This study aims to unravel the association between maternity leave length and mothers’ long-term health in Germany. Drawing on detailed data from the German Statutory Pension Fund (DRV), we estimated the association between maternity leave length and sick leave from 3 years following their child’s birth for 4,243 women living in Germany in 2015 by applying discrete-time logistic regression. Our results show a negative relationship between maternity-leave length and long-term maternal health, likely driven by negative health selection. Long maternity leaves of more than 24 months were associated with worse maternal health in the long run, while a positive association emerged for vulnerable women with pre-existing health problems.

Information

Type
Article
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.
Copyright
© The Author(s), 2023. Published by Cambridge University Press
Figure 0

Figure 1. Conceptual diagram of study design.

Figure 1

Table 1. Sample description and summary statistics of main measures

Figure 2

Figure 2. Kaplan-Meier survival curves by lengths of maternity leave for 36–180 months (i.e., up to 15 years) after the child’s birth.Note: Kaplan-Meier survival curves indicating the survival probability of experiencing a sick leave over time since the child’s birth in months by four lengths of maternity leave. See supplemental Table S2 for summary statistics of survival analysis.

Figure 3

Table 2. Average marginal effects on the monthly probabilities of sick leave of maternity leave length categories

Figure 4

Figure 3. Heterogeneity in average marginal effects of experiencing a post-maternity leave sick leave.Note: Monthly average marginal effects (AME) were calculated based on discrete-time logistic regression (see supplemental Table S3) while holding variables indicating the post-1992 reform period, prior sick leave, and age at first child’s birth fixed at the values specified in the respective panels. The second y-axis shows monthly percentage changes over the mean sick leave probability for reference.

Figure 5

Figure 4. Interaction effect between prior sick leave and reform period over maternity leave lengths on monthly sick leave probabilities.Note: Monthly predicted probabilities were calculated based on discrete-time logistic regression (see supplemental Table S3).

Supplementary material: File

Bister et al. supplementary material

Bister et al. supplementary material

Download Bister et al. supplementary material(File)
File 51.3 KB