TY  - JOUR
A1  - Vaupel, James W.
A1  - Bergeron-Boucher, Marie-Pier
A1  - Kashnitsky, Ilya
T1  - Outsurvival as a measure of the inequality of lifespans between two populations
Y1  - 2021/04/15
JF  - Demographic Research
JO  - Demographic Research
SN  - 1435-9871
SP  - 853
EP  - 864
DO  - 10.4054/DemRes.2021.44.35
VL  - S8
IS  - 35
UR  - https://www.demographic-research.org/special/8/35/
L1  - https://www.demographic-research.org/special/8/35/s8-35.pdf
L2  - https://www.demographic-research.org/special/8/35/s8-35.pdf
N2  - Background: Inequality in lifespans between two populations, e.g., males and females or people with low and high socioeconomic status, is a focus of demographic, economic, and sociological research and of public policy analysis. Such inequality is usually measured by differences in life expectancy. 

Objective: We aim to devise a cogent measure of how much distributions of lifespans differ between two populations. 

Results: We propose an outsurvival statistic, φ (phi), that measures the probability that an individual from a population with low life expectancy will live longer than an individual from a population with high life expectancy. This statistic can also be interpreted as an underdog probability – the chance that a random value from a distribution with a low mean will exceed a random value from a distribution with a higher mean. 

Contribution: Our outsurvival probability complements life-expectancy differences to provide a more nuanced view of the inequality of lifespans between two populations. Our mathematically equivalent underdog probability provides an intuitive and widely applicable perspective on the more general question of how disparate two distributions are. 

ER  -