Trends in Mortality Decrease and Economic Growth
Geng Niu () and
Bertrand Melenberg
Demography, 2014, vol. 51, issue 5, 1755-1773
Abstract:
The vast literature on extrapolative stochastic mortality models focuses mainly on the extrapolation of past mortality trends and summarizes the trends by one or more latent factors. However, the interpretation of these trends is typically not very clear. On the other hand, explanation methods are trying to link mortality dynamics with observable factors. This serves as an intermediate step between the two methods. We perform a comprehensive analysis on the relationship between the latent trend in mortality dynamics and the trend in economic growth represented by gross domestic product (GDP). Subsequently, the Lee-Carter framework is extended through the introduction of GDP as an additional factor next to the latent factor, which provides a better fit and better interpretable forecasts. Copyright Population Association of America 2014
Keywords: Longevity; GDP per capita; Lee-Carter model (search for similar items in EconPapers)
Date: 2014
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (17)
Downloads: (external link)
http://hdl.handle.net/10.1007/s13524-014-0328-3 (text/html)
Access to full text is restricted to subscribers.
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:demogr:v:51:y:2014:i:5:p:1755-1773
Ordering information: This journal article can be ordered from
http://www.springer.com/economics/journal/13524
DOI: 10.1007/s13524-014-0328-3
Access Statistics for this article
Demography is currently edited by John D. Iceland, Stephen A. Matthews and Jenny Van Hook
More articles in Demography from Springer, Population Association of America (PAA)
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().