IDEAS home Printed from https://ideas.repec.org/p/ssb/dispap/563.html
   My bibliography  Save this paper

Why Educated Mothers don't make Educated Children? A Statistical Study in the Intergenerational Transmission of Schooling

Author

Abstract

More educated parents are observed to have better educated children. From a policy point of view, however, it is important to distinguish between causation and selection. Researchers trying to control for unobserved ability have found conflicting results: in most cases, they have found a strong positive paternal effect but a negligible maternal effect. In this paper, I evaluate the impact on the robustness of the estimates of the characteristics of the samples commonly used in this strand of research: samples of small size, with low variability in parental education, not randomly selected from the population. The part of the educational distribution involved in any identification strategy seems to be a key aspect to take into account to reconcile previous results from the literature.

Suggested Citation

  • Chiara Pronzato, 2008. "Why Educated Mothers don't make Educated Children? A Statistical Study in the Intergenerational Transmission of Schooling," Discussion Papers 563, Statistics Norway, Research Department.
  • Handle: RePEc:ssb:dispap:563
    as

    Download full text from publisher

    File URL: https://www.ssb.no/a/publikasjoner/pdf/DP/dp563.pdf
    Download Restriction: no

    Other versions of this item:

    References listed on IDEAS

    as
    1. Anders Björklund & Mikael Lindahl & Erik Plug, 2006. "The Origins of Intergenerational Associations: Lessons from Swedish Adoption Data," The Quarterly Journal of Economics, Oxford University Press, vol. 121(3), pages 999-1028.
    2. Sandra E. Black & Paul J. Devereux & Kjell G. Salvanes, 2005. "The More the Merrier? The Effect of Family Size and Birth Order on Children's Education," The Quarterly Journal of Economics, Oxford University Press, vol. 120(2), pages 669-700.
    3. Altonji, Joseph G & Dunn, Thomas A, 1996. "Using Siblings to Estimate the Effect of School Quality on Wages," The Review of Economics and Statistics, MIT Press, vol. 78(4), pages 665-671, November.
    4. David Neumark & Sanders Korenman, 1994. "Sources of Bias in Women's Wage Equations: Results Using Sibling Data," Journal of Human Resources, University of Wisconsin Press, vol. 29(2), pages 379-405.
    5. John Ermisch & Marco Francesconi, 2000. "Educational Choice, Families, and Young People's Earnings," Journal of Human Resources, University of Wisconsin Press, vol. 35(1), pages 143-176.
    6. Daniel Aaronson, 1998. "Using Sibling Data to Estimate the Impact of Neighborhoods on Children's Educational Outcomes," Journal of Human Resources, University of Wisconsin Press, vol. 33(4), pages 915-946.
    7. Jere R. Behrman & Mark R. Rosenzweig, 2002. "Does Increasing Women's Schooling Raise the Schooling of the Next Generation?," American Economic Review, American Economic Association, vol. 92(1), pages 323-334, March.
    8. de Haan, Monique & Plug, Erik, 2006. "Estimates of the Effect of Parents’ Schooling on Children’s Schooling Using Censored and Uncensored Samples," IZA Discussion Papers 2416, Institute for the Study of Labor (IZA).
    9. Sandra E. Black & Paul J. Devereux & Kjell G. Salvanes, 2005. "Why the Apple Doesn't Fall Far: Understanding Intergenerational Transmission of Human Capital," American Economic Review, American Economic Association, vol. 95(1), pages 437-449, March.
    10. Erik Plug, 2004. "Estimating the Effect of Mother's Schooling on Children's Schooling Using a Sample of Adoptees," American Economic Review, American Economic Association, vol. 94(1), pages 358-368, March.
    11. Light Audrey & Flores-Lagunes Alfonso, 2006. "Measurement Error in Schooling: Evidence from Samples of Siblings and Identical Twins," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 5(1), pages 1-35, May.
    12. Bound, John & Solon, Gary, 1999. "Double trouble: on the value of twins-based estimation of the return to schooling," Economics of Education Review, Elsevier, vol. 18(2), pages 169-182, April.
    13. Orley Ashenfelter & David J. Zimmerman, 1997. "Estimates Of The Returns To Schooling From Sibling Data: Fathers, Sons, And Brothers," The Review of Economics and Statistics, MIT Press, vol. 79(1), pages 1-9, February.
    14. Jere R. Behrman & Mark R. Rosenzweig, 2005. "Does Increasing Women's Schooling Raise the Schooling of the Next Generation? Reply," American Economic Review, American Economic Association, vol. 95(5), pages 1745-1751, December.
    15. Kate L. Antonovics & Arthur S. Goldberger, 2005. "Does Increasing Women's Schooling Raise the Schooling of the Next Generation? Comment," American Economic Review, American Economic Association, vol. 95(5), pages 1738-1744, December.
    16. David Neumark, 1994. "Biases in Twin Estimates of the Return to Schooling: A Note on Recent Research," NBER Technical Working Papers 0158, National Bureau of Economic Research, Inc.
    17. Ashenfelter, Orley & Krueger, Alan B, 1994. "Estimates of the Economic Returns to Schooling from a New Sample of Twins," American Economic Review, American Economic Association, vol. 84(5), pages 1157-1173, December.
    18. Jere R. Behrman & Barbara L. Wolfe, 1989. "Does More Schooling Make Women Better Nourished and Healthier? Adult Sibling Random and Fixed Effects Estimates for Nicaragua," Journal of Human Resources, University of Wisconsin Press, vol. 24(4), pages 644-663.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Luciano Canova & Alessandro Vaglio, 2010. "Why do educated mothers matter? A model of parental help," Working Papers XREAP2010-17, Xarxa de Referència en Economia Aplicada (XREAP), revised Dec 2010.
    2. Leão Fernandes, Graça & Chagas Lopes, Margarida, 2008. "ISEG Undergraduate Students: Determinants of Academic Performance," MPRA Paper 22082, University Library of Munich, Germany.

    More about this item

    Keywords

    intergenerational transmission; education; twin-estimator; sibling-estimator; power of the test;

    JEL classification:

    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • I2 - Health, Education, and Welfare - - Education

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ssb:dispap:563. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (L Maasø). General contact details of provider: http://edirc.repec.org/data/ssbgvno.html .

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.