Jens Robben

Jens Robben

Postdoctoral researcher

Working papers

Climate-driven mortality forecasting using deep learning

Kenrick, S., Barigou, K., Robben, J. (2026). Climate-driven mortality forecasting using deep learning. Working paper. DOI: 10.48550/arXiv.2606.26980

A penalized distributed lag non-linear Lee-Carter framework for regional weekly mortality forecasting

Robben, J. & Barigou, K. (2026). A penalized distributed lag non-linear Lee-Carter framework for regional weekly mortality forecasting. Working paper. Under revision at International Journal of Forecasting. DOI: 10.48550/arXiv.2509.24087.

Socio-demographic inequalities in the maximum human lifespan

Robben, J. & Kleinow, T. (2026). Socio-demographic inequalities in the maximum human lifespan. Working paper. Under revision at PLOS One. DOI: 10.48550/arXiv.2604.07974.

Publications

Work in progress

Associating socio-economic, demographic, and environmental factors with mortality improvements: A cause-of-death study in Europe

with Séverine Arnold and Eman ElMeaddawy

Environmental determinants of cause-specific mortality across socio-economic groups in Australia

with Han Li, Séverine Arnold, and Tim Adair

An aggregated local effect distance for comparing risk-driver effects: insurance pricing of electrified versus ICE vehicles

with Dries Van Ceulebroeck and Katrien Antonio

A Dutch Administrative Index of Socioeconomic heat Inequality

with Andrew Cairns and Torsten Kleinow

Publications

Publications

Granular mortality modeling with temperature and epidemic shocks: a three-state regime-switching approach

Robben, J., Barigou, K., Kleinow, T. (2026). Granular mortality modeling with temperature and epidemic shocks: a three-state regime-switching approach, 128, 103250. Insurance: Mathematics and Economics. DOI: 10.1016/j.insmatheco.2026.103250

The short-term association between environmental variables and mortality: evidence from Europe

Robben, J., Antonio, K., Kleinow, T. (2026). The short-term association between environmental variables and mortality: evidence from Europe 189(2), 1131–1153. Journal of the Royal Statistical Society Series A: Statistics in Society. DOI: https://doi.org/10.1093/jrsssa/qnaf052

Catastrophe risk in a stochastic multi-population mortality model

Robben, J., & Antonio, K. (2024). Catastrophe risk in a stochastic multi-population mortality model, 91, 599–651. Journal of Risk and Insurance. DOI: 10.1111/jori.12470

A hierarchical reserving model for reported non-life insurance claims

Crevecoeur, J., Robben, J., & Antonio, K. (2022). A hierarchical reserving model for reported non-life insurance claims, 104, 158-184. Insurance: Mathematics and Economics. DOI: 10.1016/j.insmatheco.2022.02.005

Assessing the Impact of the COVID-19 Shock on a Stochastic Multi-Population Mortality Model

Robben, J., Antonio, K., & Devriendt, S. (2022). Assessing the Impact of the COVID-19 Shock on a Stochastic Multi-Population Mortality Model, 10(2), 26. Risks. DOI: 10.3390/risks10020026

Publications

External reports

Assessing the impact of COVID-19 on the IA|BE 2020 mortality projections: a scenario analysis

Antonio, K., Devriendt, S. & Robben, J. (2020). The IA|BE 2020 mortality projection model for the Belgian population. Published by the Institute of Actuaries in Belgium.

The IA|BE 2020 mortality projection model for the Belgian population

Antonio, K., Devriendt, S. & Robben, J. (2020). The IA|BE 2020 mortality projection model for the Belgian population. Published by the Institute of Actuaries in Belgium.