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Ageing, Immigration and Optimal National Saving in Australia. a

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  • Guest, R.S.
  • McDonald, I.M.

Abstract

By simulating a model of the optimal level of saving in a small open economy, this paper calculates the levels of optimal national saving for Australia for the period from 1997 to 2051. The calculations focus on the implications of making allowance for the ageing structure of the population. The effects of the ageing structure on employment participation, labour productivity and consumption demands are allowed for. Three different projections of future immigration are compared. The simulations suggest that in 1997 the optimal level of national saving in Australia is about nine percentage points of GDP greater than the actual rate of national saving. In the 50 years following 1997 the optimal saving response to the ageing of the Australian population is for national saving to increase up to the year 2011 and then to decline to the year 2051. If immigration is lower then the increase in optimal national saving is greater. Notwithstanding the large size of the shortfall of actual national saving below the optimal rate, we argue that the case for government intervention to increase national saving significantly above current levels is weak.

Suggested Citation

  • Guest, R.S. & McDonald, I.M., 1999. "Ageing, Immigration and Optimal National Saving in Australia. a," Department of Economics - Working Papers Series 690, The University of Melbourne.
  • Handle: RePEc:mlb:wpaper:690
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    1. Bollerslev, Tim & Engle, Robert F & Wooldridge, Jeffrey M, 1988. "A Capital Asset Pricing Model with Time-Varying Covariances," Journal of Political Economy, University of Chicago Press, vol. 96(1), pages 116-131, February.
    2. Cheung, Yin-Wong & Ng, Lilian K., 1996. "A causality-in-variance test and its application to financial market prices," Journal of Econometrics, Elsevier, vol. 72(1-2), pages 33-48.
    3. Scholes, Myron & Williams, Joseph, 1977. "Estimating betas from nonsynchronous data," Journal of Financial Economics, Elsevier, vol. 5(3), pages 309-327, December.
    4. King, Mervyn A & Wadhwani, Sushil, 1990. "Transmission of Volatility between Stock Markets," Review of Financial Studies, Society for Financial Studies, vol. 3(1), pages 5-33.
    5. Engle, Robert F. & Kroner, Kenneth F., 1995. "Multivariate Simultaneous Generalized ARCH," Econometric Theory, Cambridge University Press, vol. 11(01), pages 122-150, February.
    6. Timothy J. Brailsford, 1996. "Volatility Spillovers Across the Tasman," Australian Journal of Management, Australian School of Business, vol. 21(1), pages 13-27, June.
    7. Clare, A. D. & Thomas, S. H., 1992. "International evidence for the predictability of bond and stock returns," Economics Letters, Elsevier, vol. 40(1), pages 105-112, September.
    8. Baeck, E.G. & Brock, W.A., 1992. "A Nonparametric Test for Independence of a Multivariate Time Series," Working papers 9204, Wisconsin Madison - Social Systems.
    9. Booth, G. Geoffrey & Martikainen, Teppo & Tse, Yiuman, 1997. "Price and volatility spillovers in Scandinavian stock markets," Journal of Banking & Finance, Elsevier, vol. 21(6), pages 811-823, June.
    10. Lee, Sang-Won & Hansen, Bruce E., 1994. "Asymptotic Theory for the Garch(1,1) Quasi-Maximum Likelihood Estimator," Econometric Theory, Cambridge University Press, vol. 10(01), pages 29-52, March.
    11. Eun, Cheol S. & Shim, Sangdal, 1989. "International Transmission of Stock Market Movements," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 24(02), pages 241-256, June.
    12. Glosten, Lawrence R & Jagannathan, Ravi & Runkle, David E, 1993. " On the Relation between the Expected Value and the Volatility of the Nominal Excess Return on Stocks," Journal of Finance, American Finance Association, vol. 48(5), pages 1779-1801, December.
    13. Brooks, Chris & Heravi, Saeed M, 1999. "The Effect of (Mis-Specified) GARCH Filters on the Finite Sample Distribution of the BDS Test," Computational Economics, Springer;Society for Computational Economics, vol. 13(2), pages 147-162, April.
    14. Engle, Robert F & Ng, Victor K, 1993. " Measuring and Testing the Impact of News on Volatility," Journal of Finance, American Finance Association, vol. 48(5), pages 1749-1778, December.
    15. Jarque, Carlos M. & Bera, Anil K., 1980. "Efficient tests for normality, homoscedasticity and serial independence of regression residuals," Economics Letters, Elsevier, vol. 6(3), pages 255-259.
    16. Weiss, Andrew A., 1986. "Asymptotic Theory for ARCH Models: Estimation and Testing," Econometric Theory, Cambridge University Press, vol. 2(01), pages 107-131, April.
    17. Karolyi, G Andrew, 1995. "A Multivariate GARCH Model of International Transmissions of Stock Returns and Volatility: The Case of the United States and Canada," Journal of Business & Economic Statistics, American Statistical Association, vol. 13(1), pages 11-25, January.
    18. Stoll, Hans R & Whaley, Robert E, 1990. "Stock Market Structure and Volatility," Review of Financial Studies, Society for Financial Studies, vol. 3(1), pages 37-71.
    19. Lim & C.G. & McNelis & P.D., 1996. "Stock Price Fluctuations in Australia: The Influence of japanese and U.S. Markets," Department of Economics - Working Papers Series 505, The University of Melbourne.
    20. Hamao, Yasushi & Masulis, Ronald W & Ng, Victor, 1990. "Correlations in Price Changes and Volatility across International Stock Markets," Review of Financial Studies, Society for Financial Studies, vol. 3(2), pages 281-307.
    21. Brooks, Chris, 1999. "Portmanteau Model Diagnostics and Tests for Nonlinearity: A Comparative Monte Carlo Study of Two Alternative Methods," Computational Economics, Springer;Society for Computational Economics, vol. 13(3), pages 249-263, June.
    22. Nicolas de Roos & Bill Russell, 1996. "Towards an Understanding of Australia’s Co-movement with Foreign Business Cycles," RBA Research Discussion Papers rdp9607, Reserve Bank of Australia.
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    Cited by:

    1. Stiller, Silvia, 2000. "Welfare effects of demographic changes in a Ramsey growth model," HWWA Discussion Papers 107, Hamburg Institute of International Economics (HWWA).
    2. John Janssen, 2002. "Long-term fiscal projections and their relationship with the intertemporal budget constraint: An application to New Zealand," Treasury Working Paper Series 02/05, New Zealand Treasury.
    3. Ross Guest & John Bryant & Grant Scobie, 2003. "Population Ageing In New Zealand: Implications for Living Standards and the Optimal Rate of Saving," Treasury Working Paper Series 03/10, New Zealand Treasury.
    4. Malcom Edey & Luke Gower, 2000. "National Saving: Trends and Policy," RBA Annual Conference Volume,in: David Gruen & Sona Shrestha (ed.), The Australian Economy in the 1990s Reserve Bank of Australia.

    More about this item

    Keywords

    SIMULATION ; AGED ; IMMIGRATION ; SAVINGS;

    JEL classification:

    • E21 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Consumption; Saving; Wealth
    • F22 - International Economics - - International Factor Movements and International Business - - - International Migration
    • J11 - Labor and Demographic Economics - - Demographic Economics - - - Demographic Trends, Macroeconomic Effects, and Forecasts

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