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Estimating the Relationship between Age Structure and GDP in the OECD Using Panel Cointegration Methods

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  • Österholm, Pär

    ()
    (Department of Economics)

Abstract

Economic theory suggests that variations in countries’ age structure should affect the economy on an aggregate level. This paper investigates the relationship between age structure and GDP in 20 OECD countries using annual data from 1970 to 1999. Using new methodology, the relationship between the variables can be formulated in levels despite the presence of unit roots in the time series. Applying two panel cointegration tests proposed by Pedroni (1995, 1997a, 1999), support is found for a long run relationship between GDP and the number of people in five different age groups. Coefficient estimates from panel regressions support effects in line with the life cycle hypothesis and human capital theory; children and retirees are found to have a negative or relatively smaller positive effect on GDP than productive age groups.

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Bibliographic Info

Paper provided by Uppsala University, Department of Economics in its series Working Paper Series with number 2004:13.

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Length: 32 pages
Date of creation: 07 Sep 2004
Date of revision:
Handle: RePEc:hhs:uunewp:2004_013

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Postal: Department of Economics, Uppsala University, P. O. Box 513, SE-751 20 Uppsala, Sweden
Phone: + 46 18 471 25 00
Fax: + 46 18 471 14 78
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Keywords: Age structure; GDP; Panel cointegration;

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Cited by:
  1. DE LA CROIX, David & LINDH, Thomas & MALMBERG, Bo, 2006. "Growth and longevity from the industrial revolution to the future of an aging society," CORE Discussion Papers 2006064, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
  2. Berg, Lennart & Berger, Tommy, 2005. "The Q theory and the Swedish housing market –an empirical test," Working Paper Series 2005:19, Uppsala University, Department of Economics.
  3. DE LA CROIX, David & LINDH, Thomas & MALMBERG, Bo, . "Demographic change and economic growth in Sweden: 1750-2050," CORE Discussion Papers RP -2104, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).

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