Integrating uncertainty in time series population forecasts: An illustration using a simple projection model

Abstract

Background: Population forecasts are widely used for public policy purposes. Methods to quantify the uncertainty in forecasts tend to ignore model uncertainty and to be based on a single model. Objective: In this paper, we use Bayesian time series models