Long-term care models and dependence probability tables by acuity level: new empirical evidence from Switzerland

DOI10.1016/j.insmatheco.2018.05.002zbMath1416.91178OpenAlexW2805957506WikidataQ59241722 ScholiaQ59241722MaRDI QIDQ1667411

Joël Wagner, Michel Fuino

Publication date: 28 August 2018

Published in: Insurance Mathematics \& Economics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.insmatheco.2018.05.002

zbMATH Keywords

longitudinal datatransition probabilitieslong-term caresemi-Markov modelactuarial dependence tablesacuity levels

Mathematics Subject Classification ID

Related Items (9)

A multi-state model for sick leave and its impact on partial early retirement incentives: the case of the Netherlands ⋮ A long-term care multi-state Markov model revisited: a Markov chain Monte Carlo approach ⋮ Long-term care models and dependence probability tables by acuity level: new empirical evidence from Switzerland ⋮ Doubly Enhanced Annuities (DEANs) and the Impact of Quality of Long-Term Care under a Multi-State Model of Activities of Daily Living (ADL) ⋮ Joint life care annuities to help retired couples to finance the cost of long-term care ⋮ On the characteristics of reporting ADL limitations and formal LTC usage across Europe ⋮ Non-parametric inference of transition probabilities based on Aalen-Johansen integral estimators for acyclic multi-state models: application to LTC insurance ⋮ Duration of long-term care: socio-economic factors, type of care interactions and evolution ⋮ Old-age care prevalence in Switzerland: drivers and future development

Uses Software

• SemiMarkov

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