Estimating treatment effects of the one-child policy: a self-report approach
Yingyao Hu () and
Fangzhu Yang ()
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Yingyao Hu: Johns Hopkins University
Fangzhu Yang: Bates White Economic Consulting
Journal of Population Economics, 2025, vol. 38, issue 4, No 5, 23 pages
Abstract:
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.
Keywords: Self-reported measures; One-child policy; Treatment effect; Heterogeneous treatment effect (search for similar items in EconPapers)
JEL-codes: C21 J13 J18 (search for similar items in EconPapers)
Date: 2025
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DOI: 10.1007/s00148-025-01130-2
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