Fertility and Well-Being

At a Glance Projects Publications Team


Causal Inference Approaches to Fertility over the Life Course

Maarten Jacob Bijlsma, Mathias Lerch, Jessica Nisén; in Collaboration with Ben Wilson (Stockholm University, Sweden)

Counterfactual causal inference, a subdiscipline of statistics that involves inferring causal effects from observational data, has made great conceptual and methodological progress in recent years. In this project, we apply the concepts and methods of counterfactual causal inference to the study of fertility.  Detailed Description

Research Keywords:

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

Region keywords:

United Kingdom


Nisén, J.; Bijlsma, M. J.; Martikainen, P.; Wilson, B.; Myrskylä, M.:
Advances in Life Course Research 53:100496, 1–16. (2022)    
Nisén, J.; Tassot, J.; Iacoella, F.; Eibich, P.:
MPIDR Working Paper WP-2022-021. (2022)    
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)    
Bijlsma, M. J.; Wilson, B.:
MPIDR Working Paper WP-2017-013. (2017)    
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.