 A handbook of parametric survival models for actuarial useS. J. Richards Scandinavian Actuarial Journal, 2012, vol. 2012, issue 4, 233-257 Abstract: Traditional actuarial techniques for mortality analysis are being supplanted by statistical models. Chief amongst these are survival models, which model mortality continuously at the level of the individual. An assumption of a mathematical form for the hazard function or, equivalently, the assumption of a continuous distribution for an individual's lifetime, leads automatically to smooth fitted mortality rates. This note gives an overview of the survival models commonly found in statistical packages and compares their suitability for actuarial work with the mortality ‘laws’ proposed by actuaries over the past two centuries. We find that the actuarial laws provide substantially better fits at post-retirement ages. We also give a common structure of parameterisation which gives consistent behaviour and interpretation of risk factors across all 16 survival models listed here. Finally, we consider the benefits of working directly with the log-likelihood function, including making allowance for the left truncation which is common for the data with which actuaries work. Date: 2012 Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:taf:sactxx:v:2012:y:2012:i:4:p:233-257 Ordering information: This journal article can be ordered from DOI: 10.1080/03461238.2010.506688 Access Statistics for this article Scandinavian Actuarial Journal is currently edited by Boualem Djehiche More articles in Scandinavian Actuarial Journal from Taylor & Francis Journals |
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