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Modeling female fertility using inflated count data models

Author

Listed:
  • Maria Melkersson

    (SOFI, University of Stockholm, SE 106 91 Stockholm, Sweden)

  • Dan-Olof Rooth

    (Department of Economics, University of Lund, SE 222 07 Lund, Sweden)

Abstract

For modeling complete female fertility we propose a zero-and-two-inflated count data model, which accounts for a relative excess of both zero and two children. As the underlying distribution of counts we use the standard Poisson distribution and the more general Gamma count distribution. We compare our proposed model with standard count data models by using data on complete fertilities for a sample of Swedish women. The preferred specification for Swedish fertility data is the zero-and-two inflated Gamma count data model. The estimated "extra" probabilities of zero and two children, when modelled as individual specific probabilities, vary substantially across individuals, with mean of 0.05 and 0.16, respectively. These extra probabilities show that women who formed a family later in life have a higher probability of being childless, and women of our youngest cohort have a higher probability of forming a two-child family.

Suggested Citation

  • Maria Melkersson & Dan-Olof Rooth, 2000. "Modeling female fertility using inflated count data models," Journal of Population Economics, Springer;European Society for Population Economics, vol. 13(2), pages 189-203.
    • Handle: RePEc:spr:jopoec:v:13:y:2000:i:2:p:189-203
    Note: Received: 7 January 1999/Accepted: 19 May 1999
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    More about this item

    Keywords

    Fertility; inflated count data models;

    JEL classification:

    • C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions; Probabilities
    • J13 - Labor and Demographic Economics - - Demographic Economics - - - Fertility; Family Planning; Child Care; Children; Youth

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