# lileecarter.estimate: Coherent Lee-Carter Estimation In PPgp/MortCast: Estimation and Projection of Age-Specific Mortality Rates

## Description

Estimate coherent Lee-Carter parameters (Li and Lee 2005).

## Usage

 `1` ```lileecarter.estimate(mxM, mxF, nx = 5, ...) ```

## Arguments

 `mxM` A matrix of male age-specific mortality rates where rows correspond to age groups and columns correspond to time periods. For 5-year age groups, the first and second rows corresponds to 0-1 and 1-5 age groups, respectively. Rownames define the starting ages of the respective groups. `mxF` A matrix of female mortality rates of the same shape as `mxM`. `nx` Size of age groups. Should be either 5 or 1. `...` Additional arguments passed to `leecarter.estimate`.

## Details

The coherent Lee-Carter parameters for male and female mortality rates share the same b_x which is the average of the age-specific b_x parameters.

The function in addition computes the ultimate b^u_x as defined in Li et al. (2013) based on the coherent b_x.

## Value

List containing elements `bx` (coherent b_x parameter), `ultimate.bx` (ultimate b^u_x parameter), `ages` (age groups), `nx` (age group interval), and lists `female` and `male`, each with the Lee-Carter parameters.

## 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.

## Examples

 ```1 2 3 4 5 6 7 8``` ```data(mxM, mxF, package = "wpp2017") country <- "Germany" mxm <- subset(mxM, name == country)[,4:16] mxf <- subset(mxF, name == country)[,4:16] rownames(mxm) <- rownames(mxf) <- c(0,1, seq(5, 100, by=5)) lc <- lileecarter.estimate(mxm, mxf) plot(lc\$bx, type="l") lines(lc\$ultimate.bx, lty=2) ```

PPgp/MortCast documentation built on Aug. 8, 2021, 5:17 p.m.