IDEAS home Printed from https://ideas.repec.org/a/eee/labeco/v96y2025ics0927537125000818.html
   My bibliography  Save this article

Relaxation of fertility restrictions, sibling composition and gender gap in education: Evidence from China’s 1.5-child policy

Author

Listed:
  • Liu, Xiangbo
  • Sun, Zhiying
  • Tang, Daisheng
  • Chu, Shuai

Abstract

Fertility restrictions are generally believed to have increased children’s educational attainment. However, knowledge of the effects of relaxing fertility restrictions on the gender gap in education is lacking. Using China’s 1.5-child policy as an example, we explore how relaxing fertility restrictions affects the gender gap in education. We first construct a simple model to analyze how different family planning policies influence the gender gap in education through their effects on sibling composition. Using data from the 2010 China Family Panel Studies (CFPS), we next empirically estimate the policy effects through a triple-difference (DDD) approach. We find that the 1.5-child policy significantly widened the gender gap in education, primarily through a relative decline in female educational attainment compared to males. Heterogeneity analysis indicates that the eldest daughters, particularly those with younger brothers, experience a larger decline in educational attainment. We uncover two mechanisms limiting girls’ schooling: resource dilution through more siblings, and caregiving burdens as eldest sisters. We also find that supportive education policies can help narrow the gender gap in education by mitigating the negative impact on females’ educational attainment.

Suggested Citation

  • Liu, Xiangbo & Sun, Zhiying & Tang, Daisheng & Chu, Shuai, 2025. "Relaxation of fertility restrictions, sibling composition and gender gap in education: Evidence from China’s 1.5-child policy," Labour Economics, Elsevier, vol. 96(C).
  • Handle: RePEc:eee:labeco:v:96:y:2025:i:c:s0927537125000818
    DOI: 10.1016/j.labeco.2025.102757
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0927537125000818
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.labeco.2025.102757?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to

    for a different version of it.

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    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:eee:labeco:v:96:y:2025:i:c:s0927537125000818. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/labeco .

    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.