When old meets young? Germany's population ageing and the current account
Matthias Schön and
Nikolai Stähler
Economic Modelling, 2020, vol. 89, issue C, 315-336
Abstract:
In a three-region New Keynesian life-cycle model calibrated to Germany, the Euro area (without Germany) and the rest of the world, we analyze the impact of population ageing on net foreign asset and current account developments. Using unsynchronized demographic trends by taking those of Germany as given and assuming constant population everywhere else, we are able to generate German current account surpluses of up to 15% of GDP during the first half of this century. However, projected demographic trends from 2000 to 2080 in OECD countries (and China in an additional analysis) are much more synchronized. Feeding these into our model suggests that the average annual German current account surplus from 2000 to 2018 that should be attributed to ageing reduces to around 2.83% (1.23%) of GDP, with a maximum at 4.3% (2.7%) in 2006 (when taking into account China), turning negative around 2035.
Keywords: Population ageing; Net foreign assets; Global imbalances; DSGE models (search for similar items in EconPapers)
JEL-codes: E43 E44 E52 E58 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0264999319308466
Full text for ScienceDirect subscribers only
Related works:
Working Paper: When old meets young? Germany's population ageing and the current account (2019) 
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:eee:ecmode:v:89:y:2020:i:c:p:315-336
DOI: 10.1016/j.econmod.2019.10.034
Access Statistics for this article
Economic Modelling is currently edited by S. Hall and P. Pauly
More articles in Economic Modelling from Elsevier
Bibliographic data for series maintained by Catherine Liu ().