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Estimating treatment effects of the one-child policy: a self-report approach

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  • Yingyao Hu

    (Johns Hopkins University)

  • Fangzhu Yang

    (Bates White Economic Consulting)

Abstract

We employ a self-reported survey measure of the ideal number of children to assess the impact of China’s one-child policy on couples’ childbearing. We take advantage of the novel feature of the self-reported measure that asks about couples’ preferences in a counterfactual setting to help identify the treatment effect of the one-child policy. The study estimates the policy’s treatment effect by using couples’ pre-policy ideal child numbers in 2014 and using the answer again in the post-policy period, under the assumption that the conditional distribution of the ideal number of children given the actual number of children is stationary without the policy constraint. Findings indicate a significant average reduction of 0.137 children per couple in 2014. Variations in policy effects are explored across educational, urban/rural, and occupational groups, with highly educated urban women in government jobs experiencing the most pronounced impact. Regional variations are also noted, mirroring policy stringency differences among provinces.

Suggested Citation

  • Yingyao Hu & Fangzhu Yang, 2025. "Estimating treatment effects of the one-child policy: a self-report approach," Journal of Population Economics, Springer;European Society for Population Economics, vol. 38(4), pages 1-23, December.
  • Handle: RePEc:spr:jopoec:v:38:y:2025:i:4:d:10.1007_s00148-025-01130-2
    DOI: 10.1007/s00148-025-01130-2
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    JEL classification:

    • J13 - Labor and Demographic Economics - - Demographic Economics - - - Fertility; Family Planning; Child Care; Children; Youth
    • J18 - Labor and Demographic Economics - - Demographic Economics - - - Public Policy
    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models

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