Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
5076319 | Insurance: Mathematics and Economics | 2015 | 14 Pages |
Abstract
For each of the seven single-population models from Cairns et al. (2009), we propose two-population generalizations. We derive criteria required to avoid long-term divergence problems and the likelihood functions for estimating the models. We also explain how the parameter estimates are found, and how the models are systematically simplified to optimize the fit based on the Bayes Information Criterion. Throughout the paper, the results and methodology are illustrated using real data from two pairs of populations.
Related Topics
Physical Sciences and Engineering
Mathematics
Statistics and Probability
Authors
Johnny Siu-Hang Li, Rui Zhou, Mary Hardy,