Arbeitsbereich
Fertilität und Wohlbefinden
Auf einen Blick
Projekte
Publikationen
Team
Projekt
Causal Inference Approaches to Fertility Over the Life Course
Jessica Nisén, Mathias Lerch, Maarten Jacob Bijlsma; in Zusammenarbeit mit Ben Wilson (Stockholm University, Schweden), Johanna Tassot (Maastricht University, Niederlande)
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. Ausführliche Beschreibung
Familienverhalten, Geburtenentwicklung, Lebensverlauf, Statistik und Mathematik
Publikationen
Nisén, J.; Bijlsma, M. J.; Martikainen, P.; Wilson, B.; Myrskylä, M.:
Advances in Life Course Research 53:100496, 1–16. (2022)
![Open Access](/content/images/mpidr-openaccess.svg)
Bijlsma, M. J.; Wilson, B.:
Journal of the Royal Statistical Society/A 183:2, 493–513. (2020)
![Open Access](/content/images/mpidr-openaccess.svg)
Nisén, J.; Bijlsma, M. J.; Martikainen, P.; Wilson, B.; Myrskylä, M.:
MPIDR Working Paper WP-2019-017. (2019)
![Open Access](/content/images/mpidr-openaccess.svg)
Bijlsma, M. J.; Wilson, B.:
MPIDR Working Paper WP-2017-013. (2017)
![Open Access](/content/images/mpidr-openaccess.svg)