risks Article The Linear Link: Deriving Age-Specific Death Rates from Life Expectancy Marius D. Pascariu 1,2,∗ , Ugofilippo Basellini 3,4 , José Manuel Aburto 2,3,5 and Vladimir Canudas-Romo 6,∗ 1 Biometric Risk Modelling Chapter, SCOR Global Life SE, 75795 Paris, France 2 Interdisciplinary Centre on Population Dynamics, University of Southern Denmark, 5000 Odense, Denmark 3 Max Planck Institute for Demographic Research (MPIDR), 18057 Rostock, Germany 4 Institut National D’études Démographiques (INED), 93300 Aubervilliers, France 5 Leverhulme Centre for Demographic Science, Department of Sociology and Nuffield College, University of Oxford, Oxford OX1 2BQ, UK 6 School of Demography, The Australian National University, Canberra 2600, Australia * Correspondence:
[email protected] (M.D.P.);
[email protected] (V.C.-R.) Received: 27 July 2020; Accepted: 14 October 2020; Published: 20 October 2020 Abstract: The prediction of human longevity levels in the future by direct forecasting of life expectancy offers numerous advantages, compared to methods based on extrapolation of age-specific death rates. However, the reconstruction of accurate life tables starting from a given level of life expectancy at birth, or any other age, is not straightforward. Model life tables have been extensively used for estimating age patterns of mortality in poor-data countries. We propose a new model inspired by indirect estimation techniques applied in demography, which can be used to estimate full life tables at any point in time, based on a given value of life expectancy at birth. Our model relies on the existing high correlations between levels of life expectancy and death rates across ages.