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The relationship between education and fertility in the presence of a time varying frailty component

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  • Anna Gottard
  • Alessandra Mattei
  • Daniele Vignoli

Abstract

type="main" xml:id="rssa12097-abs-0001"> The paper investigates the relationship between fertility and women's education in Italy, using data from the 2009 Household Multipurpose Survey of Family and Social Subjects. We use event history models, adopting a Bayesian approach for inference to study the association between fertility and women's education in the presence of a time varying unobserved component. Our analysis shows that either disregarding the unobserved component or assuming a time constant unobserved heterogeneity can lead to misleading results, at least in the context studied.

Suggested Citation

  • Anna Gottard & Alessandra Mattei & Daniele Vignoli, 2015. "The relationship between education and fertility in the presence of a time varying frailty component," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 178(4), pages 863-881, October.
    • Handle: RePEc:bla:jorssa:v:178:y:2015:i:4:p:863-881
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    File URL: http://hdl.handle.net/10.1111/rssa.2015.178.issue-4
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    Citations

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    Cited by:

    1. Zhang, Zheyuan & Zhao, Zhong, 2023. "Women's education and fertility in China," China Economic Review, Elsevier, vol. 78(C).
    2. Natalie Nitsche & Anna Matysiak & Jan Bavel & Daniele Vignoli, 2018. "Partners’ Educational Pairings and Fertility Across Europe," Demography, Springer;Population Association of America (PAA), vol. 55(4), pages 1195-1232, August.
    3. Somayeh Parvazian & Judith Gill & Belinda Chiera, 2017. "Higher Education, Women, and Sociocultural Change: A Closer Look at the Statistics," SAGE Open, , vol. 7(2), pages 21582440177, May.
    4. Roberto Impicciatore & Gianpiero Dalla Zuanna, 2017. "The impact of education on fertility in Italy. Changes across cohorts and south–north differences," Quality & Quantity: International Journal of Methodology, Springer, vol. 51(5), pages 2293-2317, September.
    5. Vincent Bremhorst & Michaela Kreyenfeld & Philippe Lambert, 2016. "Fertility progression in Germany: An analysis using flexible nonparametric cure survival models," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 35(18), pages 505-534.

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