Research Output
The Use of Sigmoids in Modelling and Forecasting Human Populations
  The use of sigmoid trend models, particularly the logistic model, was once popular among demographers. However, by 1940 the approach had fallen out of favour, being criticized for giving poor results and having no theoretical validity, and it was considered that models of total population were of little practical interest, the main forecasting procedure adopted being the `bottom-up cohort component' method. In the light of poor forecasting performance from component methods, this paper reassesses the use of simple trend models. It is demonstrated that useful models can be obtained from which a model of the birth rate can be derived. When these models are recast in a recursive parameterization, it is shown that satisfactory forecasts can be obtained.

  • Type:

    Article

  • Date:

    31 December 1988

  • Publication Status:

    Published

  • Publisher

    JSTOR

  • DOI:

    10.2307/2982997

  • ISSN:

    0964-1998

  • Library of Congress:

    HA Statistics

  • Dewey Decimal Classification:

    004 Data processing & computer science

Citation

Raeside, R. (1988). The Use of Sigmoids in Modelling and Forecasting Human Populations. Journal of the Royal Statistical Society: Series A, 151(3), 499. https://doi.org/10.2307/2982997

Authors

Keywords

Statistics, Probability and Uncertainty; Economics and Econometrics; Statistics and Probability; Social Sciences (miscellaneous)

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