Drewnowski's index to measure lifespan variation

The Gini coefficient of the life table is a concentration index that provides information on lifespan variation. Originally proposed by economists to measure income and wealth inequalities, it has been widely used in population studies to investigate variation in ages at death. We focus on the compl...

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Detalhes bibliográficos
Autores: Aburto, José Manuel|||0000-0002-2926-6879, Basellini, Ugofilippo, Baudisch, Annette, Villavicencio, Francisco|||0000-0003-3951-7341
Formato: artículo
Fecha de publicación:2022
País:España
Recursos:Universitat Autònoma de Barcelona
Repositorio:Dipòsit Digital de Documents de la UAB
Idioma:inglés
OAI Identifier:oai:ddd.uab.cat:270808
Acesso em linha:https://ddd.uab.cat/record/270808
https://dx.doi.org/urn:doi:10.1016/j.tpb.2022.08.003
Access Level:acceso abierto
Palavra-chave:Concentration index
Gompertz
Life expectancy
Lifespan inequality
Mortality
Threshold age
Descrição
Resumo:The Gini coefficient of the life table is a concentration index that provides information on lifespan variation. Originally proposed by economists to measure income and wealth inequalities, it has been widely used in population studies to investigate variation in ages at death. We focus on the complement of the Gini coefficient, Drewnowski's index, which is a measure of equality. We study its mathematical properties and analyze how changes over time relate to changes in life expectancy. Further, we identify the threshold age below which mortality improvements are translated into decreasing lifespan variation and above which these improvements translate into increasing lifespan inequality. We illustrate our theoretical findings simulating scenarios of mortality improvement in the Gompertz model, and showing an example of application to Swedish life table data. Our experiments demonstrate how Drewnowski's index can serve as an indicator of the shape of mortality patterns. These properties, along with our analytical findings, support studying lifespan variation alongside life expectancy trends in multiple species.