Confronta i metodi

	Lifespan Inequality	Keyfitz Entropy
Campo	Demografia	Demografia
Famiglia	Process / pipeline	Process / pipeline
Anno di origine	2003	1977
Ideatore	Lifespan-variation literature; life disparity formalized by Vaupel & Canudas-Romo	Nathan Keyfitz
Tipo	Measures of variability in the age-at-death distribution	Elasticity of life expectancy to proportional mortality change / lifespan dispersion measure
Fonte seminale	Vaupel, J. W., & Canudas-Romo, V. (2003). Decomposing change in life expectancy: A bouquet of formulas in honor of Nathan Keyfitz's 90th birthday. Demography, 40(2), 201–216.	Keyfitz, N. (1977). Applied Mathematical Demography. John Wiley & Sons, New York. ISBN: 9780471473503
Alias	Lifespan Variation, Life Disparity, Variation in Age at Death	Life-Table Entropy, Keyfitz-Leser Entropy, Entropy of the Survival Curve
Correlati	4	4
Sintesi	Lifespan inequality measures how unequally length of life is distributed within a population — the spread of the life-table ages at death, not just their average. Two populations can share the same life expectancy yet differ sharply in how predictable death is: in one nearly everyone reaches old age, in the other deaths are scattered across all ages. A family of measures — life disparity (e†), the standard deviation of age at death, the life-table Gini coefficient, and Keyfitz entropy — quantifies this dispersion, complementing life expectancy with a measure of how fairly survival is shared.	Keyfitz's entropy, usually written H, is a dimensionless summary of a life table that measures how sensitive life expectancy is to a proportional change in mortality, and equivalently how unequal the distribution of ages at death is. Introduced by Nathan Keyfitz, it is the elasticity of life expectancy at birth with respect to the force of mortality: an H near one means deaths are spread across all ages so that reducing mortality everywhere lengthens life proportionally, while an H near zero means deaths are concentrated near the maximum lifespan so further mortality reductions yield little gain. It bridges the demography of survival and the broader study of lifespan inequality.