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Small area demographic forecasts.

J Tayman

    Applied Demography
    |July 1, 1994
    PubMed
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    Small area forecasting accuracy has stagnated for 40 years, despite advancements. Robert Schmitt

    Area of Science:

    • Demographic studies
    • Population forecasting
    • Statistical modeling

    Background:

    • Small area forecasting is crucial for resource allocation.
    • Previous research has focused on methodological improvements.

    Purpose of the Study:

    • To review the literature on small area forecasting.
    • To assess trends in forecast accuracy over time.

    Main Methods:

    • Literature review focused on small area forecasting.
    • Analysis of forecast accuracy trends over four decades.

    Main Results:

    • Small area forecast accuracy has not significantly improved.
    • Methodological progress has not translated to increased accuracy.
    Keywords:
    Area AnalysisData QualityDemographic FactorsError SourcesEstimation TechnicsLiterature ReviewMeasurementPopulationPopulation CharacteristicsPopulation ForecastUrban PopulationWorld

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  • Rich data availability has not enhanced precision.

    • Conclusions:

    • Accurate population forecasting for small urban areas remains a significant challenge.
    • Robert Schmitt's 40-year-old assessment of forecasting limitations still holds true.
    • Further research is needed to overcome persistent accuracy issues.