Fertility and Well-Being

At a Glance Projects Publications Team


Causal Inference Approaches to Fertility over the Life Course

Maarten Jacob Bijlsma; in Collaboration with Ben Wilson (Stockholm University, Sweden), Jessica Nisén (University of Helsinki, Finland)

Counterfactual causal inference, a sub-discipline of statistics involved with inferring causal effects from observational data, has made great conceptual and methodological progress in recent years. In this project, we apply these concepts and methods to the study of fertility.  Detailed Description

Research Keywords:

Family Behavior, Fertility Development, Life Course, Statistics and Mathematics

Region keywords:

United Kingdom


Bijlsma, M. J.; Wilson, B.:
Journal of the Royal Statistical Society/A 183:2, 493–513. (2020)
Nisén, J.; Bijlsma, M. J.; Martikainen, P.; Wilson, B.; Myrskylä, M.:
MPIDR Working Paper WP-2019-017. (2019)
The Max Planck Institute for Demographic Research (MPIDR) in Rostock is one of the leading demographic research centers in the world. It's part of the Max Planck Society, the internationally renowned German research society.