Thread by @nonergodicMark

A nice example for #ergodicity in demography?

Inequality in life (literally!)

UK & US men life ~17yrs after retirement at 67
but US has 13.8% higher variability of age-at-death

by @AlysonVanRaalte, Isaac Sasson & Pekka Martikainen
@MPIDRnews @PopulationEU @DemographyNet

Strong differences in Individual vs population impacts
Surprisingly, life expectancy is closely monitored, but life-span variation isn't

Double burden of inequality

Dying earlier + greater variation in time of death, whereby the latter is mostly dying much earlier than at life expectancy of your cohort, which is more pronounced in low socioeconomic groups.

First row: Life-expectany increases, better educated/richer/non-manual workers life longer

Second row: life-span variation increases as well but more so for manual workers, in the lower income & education percentiles
[all for Finns]

Policy implication #1: invest in health & social policies to reduce mortality in lower socioeconomic groups

Policy implication #2: invest to drive down (premature) midlife-death will reduce life-span variation

Nice summary, let the average (life span) be experienced by many.

If demographers find relation to ergodicity interesting, bring your expertise to the @EE_2021 conference!!!
@MPIDRnews @PopulationEU @DemographyNet @ddn_netzwerk @destatis @WiCVienna @Demografia_CSIC @IUSSP @berlin_institut @IIASAVienna
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https://twitter.com/nonergodicMark/status/1326936033947246594

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BTW this is the link to the original article doi.org/10.1126/scienc…