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

Author

Listed:
  • 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, August.
  • Handle: RePEc:dem:demres:v:21:y:2009:i:6
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    File URL: http://www.demographic-research.org/volumes/vol21/6/21-6.pdf
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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, November.
    2. FFF1Øystein NNN1Kravdal, 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, April.
    3. 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.
    4. 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, November.
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    Cited by:

    1. 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, March.
    2. repec:dem:demres:v:37:y:2017:i:61 is not listed on IDEAS

    More about this item

    Keywords

    event history analysis; fertility; first birth; Germany; imputation; imputed education histories;

    JEL classification:

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

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