Perturbations of lifespan inequality in natural populations

TL;DR

This paper clarifies how mortality improvements affect lifespan inequality and life expectancy, revealing that the relationship involves complex weight interactions that can be simplified for better understanding.

Contribution

It provides a theoretical explanation for the relationship between mortality improvements, life expectancy, and lifespan inequality, clarifying the role of weighting functions in perturbation analysis.

Findings

W(x) counteracts w(x), affecting the mapping of mortality improvements.

The change in lifespan inequality depends on the product of weights w(x) and W(x).

Simplification leads to more intuitive interpretation of perturbation effects.

Abstract

Correlations between high life expectancy and low lifespan inequality are frequently observed. A recent article seeks to explain this phenomenon by proposing that a mortality improvement maps to life expectancy and relative lifespan equality through the same weights w(x), with an extra weight W(x) applied for relative lifespan equality, specific for the equality indicator used. From statistical theory, the claim that changes of life expectancy and lifespan (in)equality map through the same weights is unexpected. The current note explains this phenomenon by showing that W(x) undoes (part of) w(x). Thus, while the change in relative lifespan equality is proportional to the product of both weights, w(x)W(x), it is proportional to neither w(x) nor W(x). As a result, some simplification is possible that gives way to an intuitive understanding and a more direct interpretation of the perturbation analysis proposed.