Literature DB >> 3484356

Population forecasts and confidence intervals for Sweden: a comparison of model-based and empirical approaches.

J E Cohen.   

Abstract

This paper compares several methods of generating confidence intervals for forecasts of population size. Two rest on a demographic model for age-structured populations with stochastic fluctuations in vital rates. Two rest on empirical analyses of past forecasts of population sizes of Sweden at five-year intervals from 1780 to 1980 inclusive. Confidence intervals produced by the different methods vary substantially. The relative sizes differ in the various historical periods. The narrowest intervals offer a lower bound on uncertainty about the future. Procedures for estimating a range of confidence intervals are tentatively recommended. A major lesson is that finitely many observations of the past and incomplete theoretical understanding of the present and future can justify at best a range of confidence intervals for population projections. Uncertainty attaches not only to the point forecasts of future population, but also to the estimates of those forecasts' uncertainty.

Mesh:

Year:  1986        PMID: 3484356

Source DB:  PubMed          Journal:  Demography        ISSN: 0070-3370


  11 in total

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Authors:  J E Cohen
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Authors:  J M Alho; B D Spencer
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3.  Forecasting births in post-transition population: stochastic renewal with serially correlated fertility.

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Authors:  K Lange; W Holmes
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Authors:  K Lange
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6.  Convexity properties of products of random nonnegative matrices.

Authors:  J E Cohen
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7.  Modeling and forecasting populations by time series: The Swedish case.

Authors:  J L Saboia
Journal:  Demography       Date:  1974-08

8.  Development and accuracy of projections of population and households in the United States.

Authors:  J S Siegel
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9.  Comparative statics and stochastic dynamics of age-structured populations.

Authors:  J E Cohen
Journal:  Theor Popul Biol       Date:  1979-10       Impact factor: 1.570

10.  Confidence intervals for demographic projections based on products of random matrices.

Authors:  C C Heyde; J E Cohen
Journal:  Theor Popul Biol       Date:  1985-04       Impact factor: 1.570

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