Abstract
We investigate the feasibility of constructing mortality forecasts on the basis of the first two sets of single value decomposition vectors, rather than just on the first such set of vectors, as in the established Lee–Carter (Gaussian) approach to mortality forecasting. Three applications are presented and the resulting forecasts compared with those constructed using two similar approaches based on generalised linear and bilinear models with Poisson error structures.
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