Joint models for classification and comparison of mortality in different countries

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

We propose a class of additive generalized linear array models (GLAMs) which facilitate the classification and comparison of mortality tables. Different mortality tables are modelled in terms of their distances (gaps) from a reference table. These gaps are smooth functions of age and/or time and provide a simple graphical summary of the differences between tables. In the paper we describe the models, discuss their computational demands and their resolution with GLAM. We present the results, largely graphical, of applying our methods to various mortality tables taken from the Human Mortality Database and from the Continuous Mortality Investigation Bureau.
Original languageEnglish
Title of host publicationProceedings of International Workshop on Statistical Modelling
Subtitle of host publicationJuly 5-9, 2010 Glasgow
EditorsAdrian Bowman
Pages89-94
Publication statusPublished - 2010

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