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Modeling household fertility decisions with generalized Poisson regression

Author

Listed:
  • Weiren Wang

    () (Department of Economics, University of Kentucky, Lexington, KY 40506-0034, USA)

  • Felix Famoye

    (Department of Mathematics, Central Michigan University, Mt. Pleasant, MI 48859, USA)

Abstract

This paper models household fertility decisions by using a generalized Poisson regression model. Since the fertility data used in the paper exhibit under-dispersion, the generalized Poisson regression model has statistical advantages over both standard Poisson and negative binomial regression models, and is suitable for analysis of count data that exhibit either over-dispersion or under-dispersion. The model is estimated by the method of maximum likelihood. Approximate tests for the dispersion and goodness-of-fit measures for comparing alternative models are discussed. Based on observations from the Panel Study of Income Dynamics of 1989 interviewing year, the empirical results support the fertility hypothesis of Becker and Lewis (1973).

Suggested Citation

  • Weiren Wang & Felix Famoye, 1997. "Modeling household fertility decisions with generalized Poisson regression," Journal of Population Economics, Springer;European Society for Population Economics, vol. 10(3), pages 273-283.
  • Handle: RePEc:spr:jopoec:v:10:y:1997:i:3:p:273-283
    Note: Received January 7, 1997 /Accepted April 3, 1997
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    More about this item

    Keywords

    Fertility decision · generalized Poisson model · dispersion · goodness-of-fit;

    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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