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Problems concerning the parametric analysis of the age at first birth

Author

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  • Ursula Henz
  • Johannes Huinink

Abstract

The application of parametric split models to analyse the birth of the first child is discussed by applying the model of Coale and McNeil and the log-logistic model. We show that serious problems of estimating the final survival probability may occur when the empirical age distribution of the analysed event is not fully known and the model deviates considerably from the empirical distribution. We suggest strategies to handle these problems in a pragmatic way.

Suggested Citation

  • Ursula Henz & Johannes Huinink, 1999. "Problems concerning the parametric analysis of the age at first birth," Mathematical Population Studies, Taylor & Francis Journals, vol. 7(2), pages 131-145.
    • Handle: RePEc:taf:mpopst:v:7:y:1999:i:2:p:131-145
    DOI: 10.1080/08898489909525451
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    Cited by:

    1. Mogi, Ryohei & del Mundo, Michael, 2018. "Remaining childless or postponing first birth?," SocArXiv hy98w, Center for Open Science.
    2. Francesco C. Billari, 2001. "A sickle transition-rate model with starting threshold," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 10(1), pages 139-155, January.
    3. Ryohei Mogi & Michael Dominic del Mundo, 2020. "Decomposing changes in first birth trends: Quantum, timing, or variance," Vienna Yearbook of Population Research, Vienna Institute of Demography (VID) of the Austrian Academy of Sciences in Vienna, vol. 18(1), pages 167-184.

    More about this item

    Keywords

    Parametric split models; Coale-McNeil;

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