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An Illustration of the Problems Caused by Incomplete Education Histories in Fertility Analyses

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  • FFF1Øystein NNN1Kravdal

    (University of Oslo)

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    Abstract

    When assessing the importance of education for fertility, one should ideally use complete education histories. Unfortunately, such data are often not available. It is illustrated here, using register data for Norwegian women born in 1969, that inclusion of educational level at the latest age observed (28), rather than at the current age, can give substantially biased education effect estimates. It is also illustrated that imputation of education for earlier ages may lead to wrong conclusions. A simple imputation of educational level and enrolment based on the assumption that everyone passes through the educational system with the officially stipulated progress gives particularly misleading results. Somewhat better estimates are obtained when a slower progress more in accordance with reality is assumed, or when educational level and enrolment are imputed stochastically on the basis of distributions calculated from real data. Obviously, one should be very careful when faced with incomplete education histories, and try to make use of relevant information from other sources about the actual educational careers.

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    File URL: http://www.demographic-research.org/special/3/6/s3-6.pdf
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    Bibliographic Info

    Article provided by Max Planck Institute for Demographic Research, Rostock, Germany in its journal Demographic Research Special Collections.

    Volume (Year): 3 (2004)
    Issue (Month): 6 (April)
    Pages: 135-154

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    Handle: RePEc:dem:drspec:v:3:y:2004:i:6

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    Web page: http://www.demogr.mpg.de/

    Related research

    Keywords: birth rate; education; endogenous; enrolment; fertility; imputation; incomplete histories; Norway; register data; registry files; simultaneous models;

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    References

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    1. Øystein Kravdal, 2001. "The High Fertility of College Educated Women in Norway," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 5(6), pages 187-216, December.
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    1. repec:hal:cesptp:halshs-00348829 is not listed on IDEAS
    2. repec:hal:journl:halshs-00348829 is not listed on IDEAS
    3. Kryštof Zeman, 2007. "Transition of nuptiality and fertility onset in the Czech Republic since the 1990s: the role of women’s education and its expansion," MPIDR Working Papers WP-2007-017, Max Planck Institute for Demographic Research, Rostock, Germany.
    4. Jan M. Hoem & Michaela Kreyenfeld, 2006. "Anticipatory analysis and its alternatives in life-course research. Part 1: Education and first childbearing," MPIDR Working Papers WP-2006-006, Max Planck Institute for Demographic Research, Rostock, Germany.
    5. Marit Rønsen, 2004. "Fertility and family policy in Norway - A reflection on trends and possible connections," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 10(10), pages 265-286, June.
    6. Cornelia Muresan & Paul-Teodor HărăguÅŸ & Mihaela HărăguÅŸ & Christin Schröder, 2008. "Romania: Childbearing metamorphosis within a changing context," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 19(23), pages 855-906, July.
    7. Thomas Baudin, 2008. "Religion and fertility : the French connection," Documents de travail du Centre d'Economie de la Sorbonne v08089, Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne.
    8. Cordula Zabel, 2009. "Do imputed education histories provide satisfactory results in fertility analysis in the Western German context?," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 21(6), pages 135-176, August.

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