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Structural estimates of the intergenerational education correlation An earlier version of this paper was presented at the conference 'The Econometrics of Strategic Decision Making' held at Yale University (Cowles Foundation) in May 2000

Author

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  • Christian Belzil
  • Jörgen Hansen

    (Concordia University, CEPR, CIRANO, CIREQ and IZA, Montreal, Canada H3G IM8)

Abstract

Using a structural dynamic programming model, we investigate the relative importance of family background variables and individual specific abilities in explaining cross-sectional differences in schooling attainments and wages. Each type of ability is the sum of one component correlated with family background variables and a residual (orthogonal) component which is purely individual specific. Household background variables (especially parents' education) account for 68% of the explained cross-sectional variations in schooling attainments, while ability correlated with background variables accounts for 17% and pure individual specific ability accounts for 15%. Interestingly, individual differences in wages are mostly explained by pure individual specific abilities as they account for as much as 73% of the explained variations in wages. Family background variables account for only 19%, while ability endowments correlated with family background account for 8%. Copyright © 2003 John Wiley & Sons, Ltd.

Suggested Citation

  • Christian Belzil & Jörgen Hansen, 2003. "Structural estimates of the intergenerational education correlation An earlier version of this paper was presented at the conference 'The Econometrics of Strategic Decision Making' held at Yale University (Cowles Foundation) in May 2000," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 18(6), pages 679-696.
    • Handle: RePEc:jae:japmet:v:18:y:2003:i:6:p:679-696
    DOI: 10.1002/jae.716
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    References listed on IDEAS

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    Cited by:

    1. Garrouste, Christelle, 2010. "100 years of educational reforms in Europe: a contextual database," MPRA Paper 31853, University Library of Munich, Germany.

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