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Population Aging and Global Capital Flows in a Parallel Universe

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  • Mr. Robin Brooks

Abstract

This paper explores the global impact of population aging, using a calibrated overlapping generations model of eight world regions to simulate the effects of historical and projected demographic trends on international capital flows. The simulations show that there will be a turning point in regional savings – investment balances between 2010 and 2030 when the European Union and North America will experience a substantial decline in savings relative to investment as their populations age rapidly. This shift will be financed by capital flows from less developed regions which are projected to become capital exporters.

Suggested Citation

  • Mr. Robin Brooks, 2000. "Population Aging and Global Capital Flows in a Parallel Universe," IMF Working Papers 2000/151, International Monetary Fund.
    • Handle: RePEc:imf:imfwpa:2000/151
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    Citations

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    Cited by:

    1. Oyamada, Kazuhiko & Itakura, Ken, 2013. "Population Aging in the Interdependent Global Economy: A Computational Approach with an Overlapping Generations Model of Global Trade," Conference papers 332350, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
    2. Hassan B. Ghassan & Hassan R. Alhajhoj & Faruk Balli, 2022. "Bi-demographic and current account dynamics using SVAR model: evidence from Saudi Arabia," Economic Change and Restructuring, Springer, vol. 55(3), pages 1327-1363, August.
    3. Casper van Ewijk & Erik Canton & Paul Tang, 2004. "Ageing and international capital flows," CPB Document 43, CPB Netherlands Bureau for Economic Policy Analysis.
    4. Matthew Odedokun, 2003. "A Holistic Perception of Foreign Financing of Developing Countries' Private Sectors: Analysis and Description of Structure and Trends," WIDER Working Paper Series DP2003-01, World Institute for Development Economic Research (UNU-WIDER).
    5. Ghassan, Hassan & Alhajhoj, Hassan R. & Balli, Faruk, 2018. "Bi-Demographic Changes and Current Account using SVAR Modeling: Evidence from Saudi Arabia," MPRA Paper 93013, University Library of Munich, Germany, revised 01 Feb 2019.
    6. Hassan Belkacem Ghassan & Hassan Rafdan Al-Hajhoj & Faruk Balli, 2019. "Bi-Demographic Changes and Current Account using SVAR Modeling: Evidence from Saudi Economy," Working Papers hal-01742574, HAL.
    7. Feroli, Michael, 2006. "Demography and the U.S. current account deficit," The North American Journal of Economics and Finance, Elsevier, vol. 17(1), pages 1-16, March.
    8. Hassan B. Ghassan & Hassan R. Al-Hajhoj & Faruk Balli, 2018. "Bi-Demographic Changes and Current Account using SVAR Modeling," Papers 1803.11161, arXiv.org, revised Mar 2019.

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