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Part of book or chapter of book . 2002
https://doi.org/10.1007/978-3-...
Part of book or chapter of book . 2002 . Peer-reviewed
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Aging and International Capital Flows

Authors: Axel Börsch-Supan; Alexander Ludwig; Joachim Winter;

Aging and International Capital Flows

Abstract

Throughout the world, population aging is a major challenge that will continue well into the 21st century. While the patterns of the demographic transition are similar in most countries, timing differs substantially, in particular between industrialized and less developed countries. To the extent that capital is internationally mobile, population aging will therefore induce capital flows between countries. In order to quantify these international capital flows, we employ a multi-country overlapping generations model and combine it with longterm demographic projections for several world regions over a 50 year horizon. Our simulations suggest that capital flows from fast-aging industrial countries (such as Germany and Italy) to the rest of the world will be substantial. Closedeconomy models of pension reform are likely to miss quantitatively important effects of international capital mobility.

Country
Germany
Keywords

340, 330, jel: jel:E27, jel: jel:J11, jel: jel:G15, jel: jel:F21, jel: jel:H55

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    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    29
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
29
Top 10%
Top 10%
Top 10%
Green
bronze