Global Health and Longevity: AnAnalysis of Post-World War II Data

Konstantinos N. Zafeiris () and Christos Skiadas ()
Additional contact information
Konstantinos N. Zafeiris: Democritus University of Thrace, Laboratory of Physical Anthropology, Department of History and Ethnology
Christos Skiadas: ManLab, Technical University of Crete

Chapter Chapter 8 in Quantitative Methods in Demography, 2022, pp 97-141 from Springer

Abstract: Abstract Healthy life expectancy describes the health status of a population by estimating the number of years a newborn is expected to live in good health. Life expectancy at birth estimates the average longevity of a newborn, given the mortality schedule observed in a period. This paper aims to analyze comparatively the developments of both indicators since the 1950s on a global level. The estimation of healthy life expectancy is based on the stochastic theory, which allows studying this indicator in contemporary populations and historical ones. Results of the analysis indicate the great diversity occurring among human populations not only in the past but also today. However, the variability in the last case has become less prominent compared with the past.

Keywords: Mortality; Life table; Healthy life expectancy; Average longevity (search for similar items in EconPapers)
Date: 2022
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

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:spr:ssdmcp:978-3-030-93005-9_8

Ordering information: This item can be ordered from
http://www.springer.com/9783030930059

DOI: 10.1007/978-3-030-93005-9_8

Access Statistics for this chapter

More chapters in The Springer Series on Demographic Methods and Population Analysis from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().