/MortCast

R package for estimating and forcasting mortality rates

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R package MortCast

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Estimation and Projection of Age-Specific Mortality Rates

Age-specific mortality rates are estimated and projected using the Kannisto, Lee-Carter and related methods as described in Sevcikova et al. (2016).

The main functions are:

  • cokannisto: Extrapolates given mortality rates into higher ages using the Coherent Kannisto method. The original Kannisto method (with sex-independent extrapolation) is avalable in the function kannisto.
  • lileecarter.estimate: Estimates the coherent Lee-Carter parameters for male and female mortality rates (Li and Lee 2005), i.e. sex-independent parameters ax and kt, and the coherent parameter bx. In addition, it computes the ultimate bxu for rotation (Li et al. 2013). The underlying sex-independent estimation is implemented in the function leecarter.estimate.
  • mortcast: Using estimated coherent Lee-Carter parameters and given future sex-specific life expectancies, it projects age-specific mortality rates, while (by default) rotating the bx parameter as described in Li et al. (2013).

Functions contained in the package can be used for both, 5-year and 1-year age groups.

Other methods for forecasting mortality rates are available:

  • pmd: pattern of mortality decline

  • mlt: model life tables, using UN lookup tables. Note that the tables were updated in version 2.6-0 (October 2021). For previous version of the tables install 2.5-0, e.g. devtools::install_github("PPgp/MortCast@v2.5-0")

  • logquad: log-quadratic mortality model

  • mortcast.blend: combining two different methods

A life table can be constructed using the life.table function.

References

Li, N. and Lee, R. D. (2005). Coherent mortality forecasts for a group of populations: An extension of the Lee-Carter method. Demography, 42, 575-594.

Li, N., Lee, R. D. and Gerland, P. (2013). Extending the Lee-Carter method to model the rotation of age patterns of mortality decline for long-term projections. Demography, 50, 2037-2051.