Stochastic population forecasts using functional data models

22 February 2007

  • When: 12.00noon, Thu 22nd February 2007
  • Where: Room 213, Richard Berry Building, The University of Melbourne
  • When: 2.30pm, Fri 1 June 2007
  • Where: Room 457, Menzies Building, Monash University (Clayton)

Abstract: I will present a new approach to age-specific forecasting of population based on separate forecasts of mortality, fertility and net migration. Functional data models with time series coefficients will be used to model mortality and fertility rates, and net migration. These models are then used in a Monte Carlo simulation of future mortality, fertility and net migration, to give age-specific forecast distributions of the population by sex. The forecast distributions allow the calculation of prediction intervals for the population size of any age group, and for any derived variables such as old-age dependency and life expectancy. The method is demonstrated by making 20-year forecasts for Australia.

 Download pdf

« Forecasting and the importance of being uncertain | Forecasting medium- and long-term peak electricity demand »