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House price, fertility rates and reproductive intentions

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  • Liu, Jing
  • Xing, Chunbing
  • Zhang, Qiong

Abstract

This paper uses national representative data collected through population census and household surveys to estimate the effect of house price on women's childbearing behaviors and intentions. It shows that higher house price significantly lowers women's reproductive probability and that women aged 30 and under, who have been married for 3–5 years, and those with no children are more sensitive to such effect. A significantly negative fertility response to house price is observed among renter families and those with self-built houses, but the response is insignificant for home-owning families. Subsample analysis by child gender reveals that house price mainly affects the probability of male births. Furthermore, women in regions with higher house prices are more willing to have daughters whereas those owning more houses tend to have sons.

Suggested Citation

  • Liu, Jing & Xing, Chunbing & Zhang, Qiong, 2020. "House price, fertility rates and reproductive intentions," China Economic Review, Elsevier, vol. 62(C).
    • Handle: RePEc:eee:chieco:v:62:y:2020:i:c:s1043951x20300936
    DOI: 10.1016/j.chieco.2020.101496
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    8. Liping Liao & Wenjie Wu & Chenglei Zhang, 2022. "Housing prices and the subjective well-being of migrant workers: evidence from China," Journal of Happiness Studies, Springer, vol. 23(7), pages 3363-3388, October.
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    11. Senhu Wang & Yi Wang & Yang Shen, 2023. "The Impact of Supportive Housing Policy Scenarios on Marriage and Fertility Intentions: A Vignette Survey Experimental Study in Shanghai, China," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 42(6), pages 1-25, December.
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    13. Chen, Nana & Xu, Hangtian, 2021. "Why has the birth rate relatively increased in China's wealthy cities?," MPRA Paper 105960, University Library of Munich, Germany.
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    More about this item

    Keywords

    House price; Fertility rates; Reproductive intentions;
    All these keywords.

    JEL classification:

    • J13 - Labor and Demographic Economics - - Demographic Economics - - - Fertility; Family Planning; Child Care; Children; Youth
    • R31 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location - - - Housing Supply and Markets

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