Description Usage Arguments Details Value Author(s) References See Also Examples

The function estimates the joint female-male model of life expectancy, as described in Raftery et al. (2014, 2012) and Lalic (2011). It consist of two equations with t-distributed errors, see Details below.

1 2 3 4 5 6 |

`mcmc.set` |
Object of class |

`countries.index` |
Index of countries (within the mcmc.set object) to be included in the estimation. By default, all countries included in the estimation of |

`estDof.eq1, estDof.eq2` |
Logical, controlling whether the degrees of freedom of the first and second equation, respectively, should be estimated. If it is |

`start.eq1, start.eq2` |
Argument |

`max.e0.eq1` |
Maximum female life expectancy of records included in the estimation of the first equation (parameter |

`constant.gap.eq2` |
Logical. If |

`include.suppl.gap` |
If |

`my.e0.file` |
File name containing user-specified male time series for one or more countries. The function replaces the corresponding country data from the WPP dataset by values in this file. Only columns are replaced that match column names of the WPP dataset. |

`my.locations.file` |
File name containing user-specified locations if different from the default |

`verbose` |
Logical switching log messages on and off. If |

The joint female-male life expectancy model is a model for estimating gaps *G* between female and male life expectancy. It consists of two parts, see Equation (1) in Raftery et al. (2012):

1. If *l_(c,t) <= M*, then

*
G_(c,t) = beta_0 + beta_1 * l_(c,1953) + beta_2 * G_(c,t-1) + beta_3 * l_(c,t) + beta_4 * [l_(c,t)-75]_+ + epsilon_(c,t)
*

where *epsilon_(c,t)* is iid *t(mu=0, sigma_1^2, nu_1)*.

2. If *l_(c,t) > M*, then

*
G_(c,t) = gamma_1 * G_(c,t-1) + epsilon_(c,t)
*

where *epsilon_(c,t)* is iid *t(mu=0, sigma_2^2, nu_2)*.

Here, *t* is the time and *c* is the country index. *G_(c,t)* is the gap for country *c* at time *t* and *l_(c,t)* is the female life expectancy for country *c* at time *t*. *M* can be set in the `max.e0.eq1`

argument.

Using the `tlm`

function of the hett package, the function estimates the coefficients *beta_i* (*i=1,…,4*) and *gamma_1*, as well as paramteres *sigma_j* (*j=1,2*) and optionally the degrees of freedom *nu_j* (*j=1,2*). If `constant.gap.eq2`

is `TRUE`

, *gamma_1* is set to 1 and *epsilon_(c,t)* is iid *N(mu=0, sigma_2^2)*.

The `mcmc.set`

object should be a `bayesLife.mcmc.set`

object obtained from a simulation of a female life expectancy. Note that since only the observed data and no MCMC results are used in this estimation, the `mcmc.set`

object can be obtained from a toy simulation such as in the example below. The function extracts observed data from this object and treats them as *l_{c,t}*. For the male historical time series, the function takes the male WPP dataset (`e0M`

) from the same wpp package as the female data, and possibly partly replaces the male dataset by any user-specified data given in `my.e0.file`

.

List with the components, `eq1`

and `eq2`

, each containing estimation results from the first and second equation, respectively. These are:

`coefficients` |
Estimated coefficients |

`sigma` |
Parameter |

`dof` |
Degrees of freedom |

Hana Sevcikova

A. E. Raftery, N. Lalic, P. Gerland (2014). Joint Probabilistic Projection of Female and Male Life Expectancy. Demographic Research, 30:795-822.

A. E. Raftery, N. Li, H. Sevcikova , P. Gerland, G. K. Heilig (2012). Bayesian probabilistic population projections for all countries. Proceedings of the National Academy of Sciences 109:13915-13921.

Lalic, N. (2011). Master's thesis at the Department of Statistics, University of Washington.

1 2 3 4 5 6 | ```
## Not run:
sim.dir <- file.path(find.package("bayesLife"), "ex-data", "bayesLife.output")
m <- get.e0.mcmc(sim.dir)
fit <- e0.jmale.estimate(m, verbose = TRUE)
## End(Not run)
``` |

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