Limits to Human Life Span Through Extreme Value Theory

CentER Discussion Paper Series No. 2017-051

14 Pages Posted: 21 Dec 2017

See all articles by Jesson Einmahl

Jesson Einmahl

Tilburg University

John H. J. Einmahl

Tilburg University - Department of Econometrics & Operations Research

Laurens de Haan

Erasmus University Rotterdam (EUR) - Department of Econometrics

Date Written: December 11, 2017

Abstract

There is no scientific consensus on the fundamental question whether the probability distribution of the human life span has a finite endpoint or not and, if so, whether this upper limit changes over time. Our study uses a unique dataset of the ages at death - in days - of all (about 285,000) Dutch residents, born in the Netherlands, who died in the years 1986-2015 at a minimum age of 92 years and is based on extreme value theory, the coherent approach to research problems of this type. Unlike some other studies we base our analysis on the configuration of thousands of mortality data of old people, not just the few oldest old. We find compelling statistical evidence that there is indeed an upper limit to the life span of men and to that of women for all the 30 years we consider and, moreover, that there are no indications of trends in these upper limits over the last 30 years, despite the fact that the number of people reaching high age (say 95 years) was almost tripling. We also present estimates for the endpoints, for the force of mortality at very high age, and for the so-called perseverance parameter.

Keywords: aging, endpoint, extreme value index, oldest, statistics of extremes

JEL Classification: C12, C13, C14

Suggested Citation

Einmahl, Jesson and Einmahl, John H. J. and de Haan, Laurens, Limits to Human Life Span Through Extreme Value Theory (December 11, 2017). CentER Discussion Paper Series No. 2017-051, Available at SSRN: https://ssrn.com/abstract=3089594 or http://dx.doi.org/10.2139/ssrn.3089594

Jesson Einmahl (Contact Author)

Tilburg University ( email )

P.O. Box 90153
Tilburg, DC Noord-Brabant 5000 LE
Netherlands

John H. J. Einmahl

Tilburg University - Department of Econometrics & Operations Research ( email )

P.O. Box 90153
5000 LE Tilburg
Netherlands

Laurens De Haan

Erasmus University Rotterdam (EUR) - Department of Econometrics ( email )

P.O. Box 1738
3000 DR Rotterdam
Netherlands

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