TY  - JOUR
A1  - Goerlich, Francisco
T1  - Distributionally adjusted life expectancy as a life table function
Y1  - 2020/08/04
JF  - Demographic Research
JO  - Demographic Research
SN  - 1435-9871
SP  - 365
EP  - 400
DO  - 10.4054/DemRes.2020.43.14
VL  - 43
IS  - 14
UR  - https://www.demographic-research.org/volumes/vol43/14/
L1  - https://www.demographic-research.org/volumes/vol43/14/43-14.pdf
L2  - https://www.demographic-research.org/volumes/vol43/14/43-14.pdf
L3  - https://www.demographic-research.org/volumes/vol43/14/files/readme.43-14.txt
L3  - https://www.demographic-research.org/volumes/vol43/14/files/demographic-research.43-14.zip
N2  - Background: Life expectancy is one of the most useful indicators of mortality and development in a given society but considers only one aspect of the distribution of length of life: the average. 

Objective: Within an axiomatic framework we investigate alternative measures of life expectancy that take into account distributional considerations in the length of life of the generation in a period life table. Most of the literature studying inequality in the length of life distribution has used inequality tools from income distribution analysis, focusing on life expectancy and inequality as separate, albeit related, issues. 

Contribution: We propose an alternative, integrated framework, which allows us to combine both dimensions in a single index and provide an axiomatic derivation that delivers the particular indexes to be used given a set of axioms. We illustrate the proposed index using data from the Human Mortality Database. 

ER  -