EconPapers    
Economics at your fingertips  
 

Global improvements in Years of Good Life since 1950

Erich Striessnig, Claudia Reiter and Anna Dimitrova

Vienna Yearbook of Population Research, 2021, vol. 19, issue 1, 141-167

Abstract: Human well-being at the national aggregate level is typically measured by GDPper capita, life expectancy or a composite index such as the HDI. A more recentalternative is the Years of Good Life (YoGL) indicator presented by Lutz et al.(2018; 2021). YoGL represents a refinement of life expectancy in which only thoseperson-years in a life table are counted that are spent free from material (1), physical(2) or cognitive limitations (3), while being subjectively perceived as satisfying (4).In this article, we present the reconstruction of YoGL to 1950 for 140 countries.Since life expectancy – as reported by the UN World Population Prospects in fiveyearlysteps – forms the basis of our reconstruction, the presented dataset is alsoavailable on a five-yearly basis. In addition, like life expectancy, YoGL can beflexibly calculated for different sub-populations. Hence, we present separate YoGLestimates for women and men. Due to a lack of data, only the material dimensioncan be reconstructed based directly on empirical inputs since 1950. The remainingdimensions are modelled based on information from the more recent past.

Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
https://austriaca.at/0xc1aa5576_0x003c9038.pdf

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:vid:yearbk:v:19:y:2021:i:1:oid:0x003c9038

Access Statistics for this article

Vienna Yearbook of Population Research is currently edited by Tomas Sobotka and Maria Winkler-Dworak

More articles in Vienna Yearbook of Population Research from Vienna Institute of Demography (VID) of the Austrian Academy of Sciences in Vienna
Bibliographic data for series maintained by Bernhard Rengs ().

 
Page updated 2025-03-20
Handle: RePEc:vid:yearbk:v:19:y:2021:i:1:oid:0x003c9038