Drewnowski’s index to measure lifespan variation: Revisiting the Gini coefficient of the life table
Aburto, José Manuel,
Ugofilippo Basellini,
Annette Baudisch and
Francisco Villavicencio
Theoretical Population Biology, 2022, vol. 148, issue C, 1-10
Abstract:
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.
Keywords: Concentration index; Gompertz; Life expectancy; Lifespan inequality; Mortality; Threshold age (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0040580922000533
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:thpobi:v:148:y:2022:i:c:p:1-10
DOI: 10.1016/j.tpb.2022.08.003
Access Statistics for this article
Theoretical Population Biology is currently edited by Jeremy Van Cleve
More articles in Theoretical Population Biology from Elsevier
Bibliographic data for series maintained by Catherine Liu ().