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Related Experiment Videos

Estimating the time elapsed since first marriage with cross-section data.

G De Santis

    European Journal of Population = Revue Europeenne De Demographie
    |July 1, 1990
    PubMed
    Summary

    This study extends Hajnal's method to estimate mean time since first marriage using period data. While useful for fertility analysis with cross-sectional data, simulations reveal potential for serious bias under certain conditions.

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    Area of Science:

    • Demography
    • Sociology
    • Statistics

    Background:

    • Estimating mean age at first marriage is crucial for demographic and fertility analyses.
    • Hajnal's method provides a way to estimate mean age at first marriage using period data.
    • Cross-sectional data often lack precise marriage dates, complicating duration analysis.

    Purpose of the Study:

    • To extend Hajnal's method for estimating mean time elapsed since first marriage.
    • To enable fertility analyses using cross-sectional data even without known marriage dates.
    • To assess the reliability and potential biases of this extended estimation method.

    Main Methods:

    • Extension of Hajnal's original method for mean age at first marriage estimation.
    • Simulation studies to evaluate the performance and biases of the extended method.
    Keywords:
    Age FactorsDemographic FactorsDeveloped CountriesEstimation TechnicsEuropeFertilityItalyMarriageMarriage AgeMarriage PatternsMediterranean CountriesNuptialityPopulationPopulation CharacteristicsPopulation DynamicsResearch MethodologySouthern EuropeTime Factors

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  • Application of the method to real-world data from the 1981 Italian census.
  • Main Results:

    • The extended method allows estimation of mean time since first marriage from period data.
    • Simulations demonstrated that the estimates can be seriously biased in specific scenarios.
    • The method was successfully applied to analyze marriage duration in the Italian population.

    Conclusions:

    • The extended Hajnal's method offers a novel approach for estimating marriage duration in demographic research.
    • Researchers must be aware of potential biases and carefully consider data characteristics.
    • The 1981 Italian census data provided a practical case study for this methodological advancement.