Comparing Mortality Trends via Lee-Carter Method in the Framework of Multidimensional Data Analysis

Giuseppe Giordano (), Maria Russolillo () and Steven Haberman ()
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Giuseppe Giordano: University of Salerno
Maria Russolillo: University of Salerno
Steven Haberman: City University

A chapter in Mathematical and Statistical Methods in Insurance and Finance, 2008, pp 131-138 from Springer

Abstract: Abstract In the framework of demographic processes, different approaches can be identified. According to their aims, these approaches can be differentiated in extrapolative and structural methods. The first focus on the homogeneity of trends in order to obtain projection. The second are based on structural models relating demographic variables to other kinds of variables (geographical, social, economical, etc.). Nowadays, this distinction is not so clear and the joint use of explorative and explanatory approaches is increasing. In this paper, we focus on the extrapolative features of the Lee-Carter model (1992) and propose a reading of such method in the framework of the Multidimensional Data Analysis. Our aim is to propose a data analysis strategy exploiting the analytical and geometrical properties of the Lee-Carter method.

Keywords: Biplot; Lee-Carter methodology; Mortality forecasting; PCA; SVD (search for similar items in EconPapers)
Date: 2008
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-88-470-0704-8_17

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DOI: 10.1007/978-88-470-0704-8_17

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