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Empirical errors and predicted errors in fertility, mortality and migration forecasts in the European Economic Area

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  • Nico Keilman
  • Dinh Quang Pham

    ()
    (Statistics Norway)

Abstract

We analyse empirical errors observed in historical population forecasts produced by statistical agencies in 14 European countries since 1950. The focus is on forecasts for three demographic variables: fertility (Total Fertility Rate - TFR), mortality (life expectancy at birth), and migration (net migration). We inspect forecast bias and forecast accuracy in the historical forecasts, as well as the distribution of the errors. Finally, we analyse for each of the three variables correlation patterns in forecast errors across countries and, for mortality, the correlation between errors for men and women. In the second part of the report we use time series model to construct prediction intervals to 2050 for the TFR, the life expectancy for men and women, and net migration in 18 European countries. GARCH models are used for fertility and mortality, while net migration is modelled as an autoregressive process

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Bibliographic Info

Paper provided by Research Department of Statistics Norway in its series Discussion Papers with number 386.

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Date of creation: Aug 2004
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Handle: RePEc:ssb:dispap:386

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Related research

Keywords: stochastic population forecast; empirical forecast errors; prediction intervals; GARCHmodels; TFR; life expectancy; net migration; EEA;

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References

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  1. Thai-Thanh Dang & Pablo Antolín & Howard Oxley, 2001. "Fiscal Implications of Ageing: Projections of Age-Related Spending," OECD Economics Department Working Papers 305, OECD Publishing.
  2. Gita Persand & Chris Brooks & Simon P. Burke, 2003. "Multivariate GARCH models: software choice and estimation issues," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 18(6), pages 725-734.
  3. Tim Bollerslev, 1986. "Generalized autoregressive conditional heteroskedasticity," EERI Research Paper Series EERI RP 1986/01, Economics and Econometrics Research Institute (EERI), Brussels.
  4. Engle, Robert F. & Kroner, Kenneth F., 1995. "Multivariate Simultaneous Generalized ARCH," Econometric Theory, Cambridge University Press, vol. 11(01), pages 122-150, February.
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Cited by:
  1. Alho, Juha, 2008. "Aggregation across countries in stochastic population forecasts," International Journal of Forecasting, Elsevier, vol. 24(3), pages 343-353.
  2. Anna Matysiak & Beata Nowok, 2007. "Stochastic forecast of the population of Poland, 2005-2050," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 17(11), pages 301-338, November.
  3. Rob J Hyndman & Heather Booth, 2006. "Stochastic population forecasts using functional data models for mortality, fertility and migration," Monash Econometrics and Business Statistics Working Papers 14/06, Monash University, Department of Econometrics and Business Statistics.
  4. Lenny Stoeldraijer & Coen van Duin & L.J.G van Wissen & Fanny Janssen, 2013. "Impact of different mortality forecasting methods and explicit assumptions on projected future life expectancy: The case of the Netherlands," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 29(13), pages 323-354, August.

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