Forschungsgruppe

Demografie der Arbeit

Auf einen Blick Projekte Publikationen Team

Projekt

Modeling and Measuring Working Life

Geleitet von Christian Dudel, Mikko Myrskylä; Daniel Christoph Schneider, Carla Rowold

We develop innovative multistate models that allow insights into complex life-course trajectories, and we provide software implementing our methods. We also study how measurement affects research on working life. Ausführliche Beschreibung

Schlagworte:

Statistik und Mathematik

Publikationen

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 unpublished.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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