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Gender norms and the child penalty in China

Author

Listed:
  • Zhang, Mingxue
  • Wang, Yue
  • Hou, Lingling

Abstract

We utilize a comprehensive individual panel dataset from China and employ an event study approach to investigate the influence of childbirth on gender disparities across various labor market outcomes, emphasizing the role of gender norms in shaping the child penalty. Our findings show a pronounced decline in individual earnings, labor force participation and working hours for women after childbirth, though labor force participation returns to pre-childbirth level in the long term. Such trends are not observed among men. These gender differentiated outcomes are driven by a key factor: gender norms, specifically women’s and their husbands’ views toward gender roles. Parents’ or in-laws’ views play a smaller role. Women suffer a larger child penalty in individual earnings if they or their spouses hold traditional views compared to those who, or whose spouses, hold more egalitarian views. Potential channels are that traditional views may predispose mothers to focus more on household activities and/or engage in informal jobs that are more flexible and family friendly.

Suggested Citation

  • Zhang, Mingxue & Wang, Yue & Hou, Lingling, 2024. "Gender norms and the child penalty in China," Journal of Economic Behavior & Organization, Elsevier, vol. 221(C), pages 277-291.
  • Handle: RePEc:eee:jeborg:v:221:y:2024:i:c:p:277-291
    DOI: 10.1016/j.jebo.2024.03.011
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    More about this item

    Keywords

    Child penalty; Gender gap; Gender norms; Individual earnings; Labor market equality; Earnings differentials;
    All these keywords.

    JEL classification:

    • J16 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Gender; Non-labor Discrimination
    • J71 - Labor and Demographic Economics - - Labor Discrimination - - - Hiring and Firing
    • Z13 - Other Special Topics - - Cultural Economics - - - Economic Sociology; Economic Anthropology; Language; Social and Economic Stratification

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