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Do imputed education histories provide satisfactory results in fertility analysis in the Western German context?

Author

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  • Cordula Zabel

    (Institut für Arbeitsmarkt- und Berufsforschung (IAB))

Abstract

In many surveys, information on respondents’ education histories is restricted to the level and sometimes the date they attained their highest degree. We compare estimates of education effects on first birth transitions using imputed histories based on this rudimentary information with estimates drawing on complete histories, using the German Life History Study. We find that imputed histories produce relatively reliable estimates for most but not all education categories, especially when information on the date the highest degree was attained is available. We investigate possible explanations for these findings and indicate contexts in which biases may be stronger.

Suggested Citation

  • 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.
    • Handle: RePEc:dem:demres:v:21:y:2009:i:6
    DOI: 10.4054/DemRes.2009.21.6
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    References listed on IDEAS

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    1. Jan M. Hoem & Michaela Kreyenfeld, 2006. "Anticipatory analysis and its alternatives in life-course research," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 15(16), pages 461-484.
    2. Øystein Kravdal, 2004. "An Illustration of the Problems Caused by Incomplete Education Histories in Fertility Analyses," Demographic Research Special Collections, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 3(6), pages 135-154.
    3. Jan M. Hoem & Michaela R. 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.
    4. Jan M. Hoem & Gerda Neyer & Gunnar Andersson, 2006. "Education and childlessness," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 14(15), pages 331-380.
    5. Jan M. Hoem & Michaela R. Kreyenfeld, 2006. "Anticipatory analysis and its alternatives in life-course research. Part 2: Marriage and first birth," MPIDR Working Papers WP-2006-007, Max Planck Institute for Demographic Research, Rostock, Germany.
    6. Jan M. Hoem & Michaela Kreyenfeld, 2006. "Anticipatory analysis and its alternatives in life-course research," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 15(17), pages 485-498.
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    Cited by:

    1. Cornelia Muresan & Jan M. Hoem, 2010. "The negative educational gradients in Romanian fertility," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 22(4), pages 95-114.
    2. Jona Schellekens & David Gliksberg, 2018. "The Decline in Marriage in Israel, 1960–2007: Period or Cohort Effect?," European Journal of Population, Springer;European Association for Population Studies, vol. 34(1), pages 119-142, February.
    3. Mathias Lerch, 2013. "Fertility Decline During Albania’s Societal Crisis and its Subsequent Consolidation," European Journal of Population, Springer;European Association for Population Studies, vol. 29(2), pages 195-220, May.
    4. Jorik Vergauwen & Jonas Wood & David De Wachter & Karel Neels, 2015. "Quality of demographic data in GGS Wave 1," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 32(24), pages 723-774.
    5. Jona Schellekens & Guy Kenan & Ahmad Hleihel, 2017. "The decline in consanguineous marriage among Muslims in Israel: The role of education," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 37(61), pages 1933-1948.

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    More about this item

    Keywords

    fertility; event history analysis; Germany; first birth; imputation; imputed education histories;
    All these keywords.

    JEL classification:

    • J1 - Labor and Demographic Economics - - Demographic Economics
    • Z0 - Other Special Topics - - General

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