Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/146091 
Year of Publication: 
2016
Series/Report no.: 
Diskussionspapier No. 171
Publisher: 
Helmut-Schmidt-Universität - Universität der Bundeswehr Hamburg, Fächergruppe Volkswirtschaftslehre, Hamburg
Abstract: 
The epidemiological literature discusses two contrary hypotheses that describe life course variations in the income-to-health relationship: the cumulative advantage and the age as leveller hypothesis. Since related micro level studies are criticised due to an income-rank effect, this study transfers the investigation of both hypotheses to a macro level with a long time horizon. It asks whether increases in per capita income improve population health and whether the improvements differ across population age groups. The analysis uses an unbalanced panel data set with 20 countries and up to 211 years, and relies on an error correction and common factor framework to investigate the long-run equlibrium relationship between income and selected measures of age specific population health. A significant effect of per capita income on survival rates is found for middle ages but not for very young and for old ages. From this it can be concluded that while the cumulative advantage theory describes the transition from young to middle ages, the transition from middle to old ages corresponds to the age as leveller mechanism.
Subjects: 
Population Health
Economic Development
Panel Time Series Analysis
Cumulative Advantage
Age as Leveller
JEL: 
J11
C22
I15
Document Type: 
Working Paper

Files in This Item:
File
Size





Items in EconStor are protected by copyright, with all rights reserved, unless otherwise indicated.