Research Group

Labor Demography

Project

Modeling and Measuring Working Life

Conducted by Christian Dudel, Mikko Myrskylä; Daniel Christoph Schneider, Carla Rowold

We develop innovative multistate models that allow us to gain insights into complex life course trajectories, and we provide software for implementing our methods. We also study how measurement affects research on working life. Detailed Description

Research Keywords:

Statistics and Mathematics

Publications

Dudel, C.:

dtms: discrete-time multistate models in R

Software. The Comprehensive R Archive Network: CRAN. (2026)

Moretti, M.; Riffe, T.; Lorenti, A.:

Multistate analysis and decomposition of disability-free life expectancy trends at mid-to-older ages in Italy, 2004–19

Population Studies 80:1, 123–138. (2026)

Sulak, H.; Dudel, C.; Loichinger, E.; Klüsener, S.:

Trends in working life expectancy and untapped employment potential in an ageing population: the case of Germany

European Journal of Population 42, 1–24. (2026)

Feraldi, A.; Dudel, C.:

Healthy working life expectancy: measurements and socio-economic inequalities

In: Statistics for innovation III: SIS 2025, short papers, contributed sessions 2, 213–218. Cham: Springer. (2025)

Rowold, C.:

Housewives never retire!? Gender biases in popular sample definitions for studies on the elderly

MPIDR Working Paper WP-2024-025. (2024)

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 78:3, 413–427. (2024)

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.:

dtms: a Stata package for the estimation of discrete-time multistate models

Software. unpublished. (2022)

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)

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

mcwr: an R package to calculate Markov chains with rewards

Software. (2021)

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

mcwr: a Stata package to calculate Markov chains with rewards

Software. (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)

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