Modeling trend processes in parametric mortality models

Matthias Börger and Johannes Schupp

Insurance: Mathematics and Economics, 2018, vol. 78, issue C, 369-380

Abstract: Parametric mortality models like those of Lee and Carter (1992), Cairns et al. (2006), or Plat (2009) typically include one or more time dependent parameters. Often, a random walk with drift is used to project these parameters into the future. However, longer time series of historical mortality data often show patterns which a random walk with drift is highly unlikely to generate. In fact, historical mortality trends often appear to be trend stationary around piecewise linear trends with changing slopes over time (see, e.g., Sweeting (2011) or Li et al. (2011)). Periods of lower (but rather constant) mortality improvements are followed by periods of higher improvements and vice versa.

Keywords: Longevity risk; Mortality projection; Parametric mortality models; Mortality trend process; Parameter uncertainty (search for similar items in EconPapers)
JEL-codes: C13 C15 C51 C53 (search for similar items in EconPapers)
Date: 2018
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Citations: View citations in EconPapers (5)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:insuma:v:78:y:2018:i:c:p:369-380

DOI: 10.1016/j.insmatheco.2017.09.024

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