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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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    References listed on IDEAS

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    Cited by:

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    2. Ermanno Affuso & Khandokar Istiak & James Swofford, 2022. "Interest Rates, House Prices, Fertility, and the Macroeconomy," JRFM, MDPI, vol. 15(9), pages 1-17, September.
    3. Nana Chen & Hangtian Xu & Yang Xu, 2024. "Family planning and fertility inequality: Evidence from the abolition of China's one‐child policy," Asian Economic Journal, East Asian Economic Association, vol. 38(1), pages 86-117, March.
    4. 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.
    5. Qiang He & Xin Deng & Chuan Li & Zhongcheng Yan & Yanbin Qi, 2022. "The Impact of Rural Population Mobility on Fertility Intention under the Comprehensive Two-Child Policy: Evidence from Rural China," IJERPH, MDPI, vol. 19(12), pages 1-17, June.
    6. Zhou, Jing & Chen, Huashuai, 2023. "Will reducing the burden of extracurricular tutoring raise fertility willingness in China? Five policy suggestions," Journal of Policy Modeling, Elsevier, vol. 45(6), pages 1132-1147.
    7. Wang, Haining & Cheng, Zhiming & Smyth, Russell & Sun, Gong & Li, Jie & Wang, Wangshuai, 2022. "University education, homeownership and housing wealth," China Economic Review, Elsevier, vol. 71(C).
    8. Jiaping Zhang & Xiaomei Gong, 2023. "How does environmental quality perception influence people's fertility intention? Evidence from China," Australian Economic Papers, Wiley Blackwell, vol. 62(2), pages 272-296, June.
    9. Chen, Jiwei & Guo, Jiangying, 2022. "The effect of female education on fertility: Evidence from China’s compulsory schooling reform," Economics of Education Review, Elsevier, vol. 88(C).
    10. Wei Wang & Luyao Liang & Jing Luo & Hui Li & Jing Tang, 2022. "Early Childhood Teachers’ Fertility Willingness under China’s ‘Third-Child’ Policy," Sustainability, MDPI, vol. 14(16), pages 1-18, August.
    11. 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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    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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