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Guest Lecture: Probabilistic Population Projections for All Countries

Guest lecture by Adrian Raftery, Professor of Statistics and Sociology, University of Washington, Seattle
What
  • Location: Dublin
  • Adult Groups
  • Location: Leinster
When Oct 16, 2013
from 12:00 PM to 01:00 PM
Where Room D204, St Patrick's College, Drumcondra, Dublin 9
Contact Name
Contact Phone 01 8842146
Attendees Third level students, general public
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Projections of countries' future populations, broken down by age and sex, are widely used for planning and research. They are mostly done deterministically, but there is a widespread need for probabilistic projections. I will describe a Bayesian method for probabilistic population projections for all countries. The total fertility rate, female and male life expectancies at birth are projected probabilistically using Bayesian hierarchical models estimated via Markov chain Monte Carlo using UN population data for all countries. These are then converted to age-specific rates and combined with a standard demographic projection model. This yields probabilistic projections of any population quantity of interest. These new statistical methods have been used by the United Nations to produce their most recent population projections for all countries.

The results indicate that world population will increase much more than had recently been believed likely, reaching between 9 and 13 billion by the end of the century, with no end in sight to population growth. The population of Africa, in particular, is likely to grow, from about 1 billion now to between 3 and 5 billion. The results also indicate that the Potential Support Ratio (roughly the number of working age people per retired person) will almost certainly decline dramatically in most countries over the coming decades. The results also suggest that the current UN high and low variants underestimate uncertainty for high fertility countries, and overstate uncertainty for low fertility countries, mostly in Europe.