There has been a recent upsurge of interest in probabilistic population projections. Two methods have been suggested in the literature for forecasting the inputs into those projections: (1) a random lines (RL) approach, and (2) a simple autoregressive approach (AR(1)). The purpose of this paper is to study analytically the differences produced by the two methods. We do this in the context of a model of variability in population growth rates. Two cases are considered: One where there is no population age structure and one where there is one. In both, we find that the variance using the AR(1) approach is initially smaller than that of the RL approach, but that over time the variance using the RL approach grows more rapidly leading to an instant of time when the variances are equal.
Download Info
To download:
If you experience problems downloading a file, check if you have the
proper application to
view it first. Information about this may be contained
in the File-Format links below. In case of further problems read
the IDEAS help
page. Note that these files are not on the IDEAS
site. Please be patient as the files may be large.
Publisher Info
Paper provided by International Institute for Applied Systems Analysis in its series Working Papers with number
ir99063.
References listed on IDEAS Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.: