2009
DOI: 10.1016/j.insmatheco.2009.05.010
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Full backward non-homogeneous semi-Markov processes for disability insurance models: A Catalunya real data application

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Cited by 25 publications
(20 citation statements)
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“…Since we have used age groups of one year, we have quite an accurate estimate of the prevalence for every age and so we believe that the loss of precision is rather small. A continuous-time model, like the semi-Markovian one (see, D'Amico et al, 2009), with transition probabilities depending on the duration of a given state, would demand a much more complex mathematical setting.…”
Section: Discussionmentioning
confidence: 99%
“…Since we have used age groups of one year, we have quite an accurate estimate of the prevalence for every age and so we believe that the loss of precision is rather small. A continuous-time model, like the semi-Markovian one (see, D'Amico et al, 2009), with transition probabilities depending on the duration of a given state, would demand a much more complex mathematical setting.…”
Section: Discussionmentioning
confidence: 99%
“…In [8,9] an efficient way is presented regarding how to use the discrete time framework in the context of disability insurance. An extension of this method to a trivariate Markov process can be found in [10].…”
Section: Semi-markov Model and Risk Decompositionmentioning
confidence: 99%
“…The maturity of the corresponding insurance product is deterministic because the contract duration is generally determined as the fixed temporal difference between the retirement age and the conclusion of the contract. However, other papers apply different definitions, namely, the inability to perform daily life activities for instance (D'Amico et al, 2009;Levantesi and Menzietti, 2012). The affiliated insurance product relates to long-term care and, thus, may involve a lifelong annuity.…”
Section: Notesmentioning
confidence: 99%