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Fertility and Well-Being

Project

Causal Inference Approaches to Fertility over the Life Course

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

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: Statistics and Mathematics; Life Course; Fertility Development; Family Behavior

Region keywords: United Kingdom

Publications

Bijlsma, M. J.; Wilson, B.:
MPIDR Working Paper WP-2017-013. (2017).

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