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Related Experiment Videos

On estimating fertility using first and second order births.

K B Pathak, P K Murthy

    Janasamkhya
    |June 1, 1990
    PubMed
    Summary

    This study presents two regression equations to estimate total fertility rate using birth order data. These novel methods provide accurate fertility estimates for districts in Uttar Pradesh, India.

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    Area of Science:

    • Demography
    • Reproductive Health
    • Statistical Modeling

    Background:

    • Accurate estimation of total fertility rate (TFR) is crucial for population studies and policy-making.
    • Birth order data offers a potential alternative for TFR estimation, especially in regions with limited demographic data.
    • Existing methods for TFR estimation may have limitations in specific contexts.

    Purpose of the Study:

    • To develop and present two novel regression equations for estimating total fertility rate (TFR) from birth order data.
    • To validate the accuracy of these equations by comparing their estimates with existing methods.
    • To apply the developed equations for TFR estimation in the districts of Uttar Pradesh, India.

    Main Methods:

    • Derivation of one regression equation using longitudinal data from Malaysia.
    Keywords:
    AsiaBirth OrderBirth RateDemographic FactorsDeveloping CountriesEstimation TechnicsFamily And HouseholdFamily CharacteristicsFamily RelationshipsFertilityFertility MeasurementsFertility RateIndiaMalaysiaPopulationPopulation DynamicsResearch MethodologySoutheastern AsiaSouthern AsiaTotal Fertility Rate

    Related Experiment Videos

  • Derivation of a second regression equation using cross-sectional data on mothers' total fertility rate and births of orders one and two.
  • Application of both equations to estimate TFR for districts within Uttar Pradesh, India.
  • Comparison of the estimated TFR values with those obtained through conventional demographic methods.

    • Main Results:

    • Two distinct regression equations for TFR estimation from birth order data were successfully developed.
    • The TFR estimates derived from the new equations for Uttar Pradesh districts closely aligned with estimates from other established methods.
    • The study demonstrates the utility of birth order data in fertility estimation.

    Conclusions:

    • The developed regression equations offer a viable and accurate approach for estimating total fertility rate using birth order data.
    • These methods are particularly useful in contexts like Uttar Pradesh, where alternative data sources may be scarce or less precise.
    • The findings support the integration of birth order analysis into demographic research for improved fertility assessment.