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[Modeling and projecting mortality in Chile].

R D Lee, R Rofman

    Notas De Poblacion
    |June 1, 1994
    PubMed
    Summary
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    This study enhances a mortality forecasting method to handle incomplete data in developing countries. The improved technique is applied to predict future mortality trends in Chile.

    Area of Science:

    • Demography
    • Biostatistics
    • Epidemiology

    Context:

    • Existing time series methods for mortality analysis are often limited by data quality.
    • Incomplete mortality data is a significant challenge in many developing nations.
    • Previous methods were successfully applied to complete datasets like the U.S. population.

    Purpose:

    • To adapt and extend Lee and Carter's mortality forecasting method for use with incomplete demographic data.
    • To address the specific challenges of analyzing and forecasting mortality in populations with missing data.
    • To apply the enhanced method to forecast age-specific mortality in Chile.

    Summary:

    • The research modifies a novel time series analysis technique for age-specific mortality.
    • The adaptation specifically targets issues of incomplete data prevalent in Third World populations.
    Keywords:
    Age Specific Death RateAmericasChileData QualityDeath RateDemographic FactorsDeveloping CountriesEstimation TechnicsLatin AmericaMethodological StudiesModels, TheoreticalMortalityPopulationPopulation DynamicsPopulation ForecastPopulation ProjectionSouth America

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  • The refined methodology is successfully applied to forecast mortality trends in Chile.

    • Impact:

    • Provides a robust tool for demographic forecasting in data-scarce environments.
    • Enables more accurate prediction of future mortality patterns in developing countries.
    • Contributes to better public health planning and resource allocation in Chile.