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From birth expectations to birth forecasts: a partial-adjustment approach.

J De Beer

    Mathematical Population Studies
    |January 1, 1991
    PubMed
    Summary
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    Women's fertility expectations often differ from reality, making them unreliable for direct forecasting. This study proposes a partial-adjustment method to improve fertility forecasts using these expectations, showing promising results for the Netherlands.

    Area of Science:

    • Demography
    • Reproductive Health
    • Social Statistics

    Background:

    • Women's subjective expectations of future fertility often diverge from actual childbearing outcomes.
    • This systematic deviation limits the direct use of fertility expectations for accurate demographic forecasting.
    • Understanding and correcting for this expectation-realization gap is crucial for reproductive health and social policy.

    Purpose of the Study:

    • To develop and evaluate a novel partial-adjustment approach for forecasting future fertility based on women's expectations.
    • To assess the sensitivity of the forecasting model to different underlying assumptions.
    • To provide a more reliable method for predicting fertility trends.

    Main Methods:

    • Utilized a partial-adjustment model to reconcile reported fertility expectations with observed fertility outcomes.
    Keywords:
    Births ExpectedDemographic FactorsDeveloped CountriesEstimation TechnicsEuropeFamily And HouseholdFamily CharacteristicsFamily SizeFamily Size, CompletedFamily Size, DesiredFertilityFertility MeasurementsModels, TheoreticalNetherlandsPopulationPopulation DynamicsPopulation ForecastResearch MethodologyWestern Europe

    Related Experiment Videos

  • Conducted sensitivity analyses to determine the robustness of the forecasting approach under varying assumptions.
  • Employed empirical data from the Netherlands for model validation.
  • Main Results:

    • The partial-adjustment method demonstrated a promising improvement in forecasting accuracy compared to direct use of expectations.
    • Sensitivity analyses indicated that the model's performance is reasonably robust across different assumption sets.
    • Empirical findings for the Netherlands suggest the approach's practical applicability.

    Conclusions:

    • A partial-adjustment approach offers a viable method to correct for systematic deviations in women's fertility expectations.
    • This refined forecasting technique can enhance the reliability of demographic projections in reproductive health research.
    • The study provides a valuable tool for policymakers and researchers analyzing fertility trends.