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Parameterized multistate population dynamics and projections.

A Rogers

    Journal of the American Statistical Association
    |March 1, 1986
    PubMed
    Summary
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    This study introduces a new population projection method using parameterized model schedules for clearer, more detailed demographic analysis. This approach enhances user understanding and allows for focused examination of population changes.

    Area of Science:

    • Demography
    • Population Studies
    • Statistical Modeling

    Background:

    • Traditional demographic accounting methods can be complex and opaque.
    • There is a need for more accessible and detailed population projection techniques.

    Purpose of the Study:

    • To develop and illustrate a population projection process emphasizing model selection.
    • To present transparent multiregional/multistate population projections using parameterized model schedules.

    Main Methods:

    • Utilizing parameterized model schedules to represent demographic information concisely.
    • Extrapolating recent trends in schedule parameters to forecast future variations.
    • Applying the method to data from developed countries, with a focus on Sweden.
    Keywords:
    Demographic FactorsDeveloped CountriesEstimation TechnicsEuropeMethodological StudiesModels, TheoreticalMultiregional AnalysisNorthern EuropePopulationPopulation DynamicsPopulation ProjectionResearch MethodologyScandinaviaSwedenTime Factors

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    Main Results:

    • Parameterized schedules condense demographic data into understandable variables.
    • The method allows for concise specification of temporal variations in demographic variables.
    • Enables a disaggregated focus on demographic change not feasible with traditional methods.

    Conclusions:

    • The developed process offers a more transparent and user-friendly approach to population projections.
    • Parameterized schedules improve the clarity and detail of demographic analysis.
    • This method facilitates a deeper understanding of population dynamics and future trends.