IDEAS home Printed from https://ideas.repec.org/p/hal/journl/hal-01914102.html

The intergenerational transmission of education. A meta-regression analysis

Author

Listed:
  • Nicolas Fleury

    (Centre Etudes & Prospective - Groupe ALPHA)

  • Fabrice Gilles

    (LEM - Lille économie management - UMR 9221 - UA - Université d'Artois - UCL - Université catholique de Lille - ULCO - Université du Littoral Côte d'Opale - Université de Lille - CNRS - Centre National de la Recherche Scientifique)

Abstract

In this article, we evaluate the extent of the causal effect of parental education on the education of their children. We review this empirical literature and propose a multivariate meta-regression analysis. Our database is composed of a large set of both published and unpublished papers written in the period 2002–2014. The articles considered differ in the data sources, explanatory variables, econometric strategy applied, and the type of publication. In spite of the large heterogeneity of studies and evidence for publication bias, we find a transmission of education from parents to their children that amounts to 0.15.
(This abstract was borrowed from another version of this item.)

Suggested Citation

  • Nicolas Fleury & Fabrice Gilles, 2018. "The intergenerational transmission of education. A meta-regression analysis," Post-Print hal-01914102, HAL.
    • Handle: RePEc:hal:journl:hal-01914102
    DOI: 10.1080/09645292.2018.1517863
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a
    for a similarly titled item that would be available.

    Other versions of this item:

    Citations

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


    Cited by:

    1. Francis Kramarz & Olof Rosenqvist & Oskar Nordström Skans, 2023. "How family background shapes the relationship between human capital and fertility," Journal of Population Economics, Springer;European Society for Population Economics, vol. 36(1), pages 235-262, January.
    2. Slichter, David & Tran, Nhan, 2023. "Do better journals publish better estimates?," MPRA Paper 118433, University Library of Munich, Germany.
    3. Overman, Henry G. & Xu, Xiaowei, 2024. "Spatial disparities across labour markets," LSE Research Online Documents on Economics 121453, London School of Economics and Political Science, LSE Library.

    More about this item

    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:hal:journl:hal-01914102. See general information about how to correct material in RePEc.

    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.

    We have no bibliographic references for this item. You can help adding them by using 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.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: CCSD (email available below). General contact details of provider: https://hal.archives-ouvertes.fr/ .

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

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.