Forschungsgruppe

Demografie der Arbeit

Auf einen Blick Projekte Publikationen Team

Projekt

Innovations in Multistate Modeling

Geleitet von Mikko Myrskylä; Christian Dudel, Daniel Christoph Schneider

Ausführliche Beschreibung

Understanding how life-course trajectories unfold is a complex task. For instance, (dis)advantages early in life can lead to (dis)advantages later in life, and they can thus accumulate over time. Multi-state models provide a useful toolbox to handle this complexity and to gain a better understanding of life-course dynamics. In this project, we assess existing methods and we develop extensions and new approaches, with a focus on discrete-time multi-state models. Statistical properties of these models are studied mathematically and through simulations. Specific topics include variance estimation, the application of Markov Chains with rewards, and causal inference in multi-state models. We also provide code and open-source software that implements our methods.

Publikationen

Schneider, D. C.:

Statistical inference for discrete-time multistate models: asymptotic covariance matrices, partial age ranges, and group contrasts

MPIDR Working Paper WP-2023-041. (2023)    

Schneider, D. C.; Myrskylä, M.:

Statistical inference for discrete-time multistate models: extensions to Markov Chains with rewards

MPIDR Working Paper WP-2023-042. (2023)    

Schneider, D. C.; Myrskylä, M.; van Raalte, A. A.:

Flexible transition timing in discrete-time multistate life tables using Markov chains with rewards

Population Studies, 1–15. (2023)    

Dudel, C.; Schneider, D. C.:

How bad could it be? Worst-case bounds on bias in multistate models due to unobserved transitions

Sociological Methods and Research 52:4, 1816–1837. (2021)    

Schneider, D. C.; Myrskylä, M.; van Raalte, A. A.:

Flexible transition timing in discrete-time multistate life tables using Markov chains with rewards

MPIDR Working Paper WP-2021-002. (2021)    

Dudel, C.; Myrskylä, M.:

Estimating the number and length of episodes in disability using a Markov chain approach

Population Health Metrics 18:15, 1–9. (2020)    

Dudel, C.:

Expanding the Markov chain tool box: distributions of occupation times and waiting times

Sociological Methods and Research, 1–28. (2018)    

Dudel, C.:

Expanding the Markov chain tool box: distributions of occupation times and waiting times

MPIDR Working Paper WP-2017-017. (2017)