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Heterogeneity of public services, gender identity, and the spatial allocation of real estate

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  • Ge, Shilong
  • Yang, Xiaozhong
  • Zhang, Cheng
  • Xiong, Ying

Abstract

This study examines the spatial allocation of real estate in an equilibrium model integrating gender identity in the marriage market and the heterogeneity of public services according to housing property ownership. We found that low-skill people buy houses in small cities, with more men buying houses than women. Conversely, people with high ability buy houses in big cities, with more women buying houses than men. The more that the public services are exclusively reserved for house owners, the higher the degree of housing asset allocation for women buying houses in big cities and for men buying houses in small cities.

Suggested Citation

  • Ge, Shilong & Yang, Xiaozhong & Zhang, Cheng & Xiong, Ying, 2023. "Heterogeneity of public services, gender identity, and the spatial allocation of real estate," Finance Research Letters, Elsevier, vol. 52(C).
    • Handle: RePEc:eee:finlet:v:52:y:2023:i:c:s1544612322007279
    DOI: 10.1016/j.frl.2022.103551
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    References listed on IDEAS

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    1. Hanming Fang & Quanlin Gu & Wei Xiong & Li-An Zhou, 2016. "Demystifying the Chinese Housing Boom," NBER Macroeconomics Annual, University of Chicago Press, vol. 30(1), pages 105-166.
    2. Stephan Fretz & Raphaël Parchet & Frédéric Robert-Nicoud, 2022. "Highways, Market Access and Spatial Sorting," The Economic Journal, Royal Economic Society, vol. 132(643), pages 1011-1036.
    3. Stephan Fretz & Raphaël Parchet & Frédéric Robert-Nicoud, 2022. "Erratum to Highways, Market Access and Spatial Sorting," The Economic Journal, Royal Economic Society, vol. 132(643), pages 1233-1233.
    4. Rebecca Diamond, 2016. "The Determinants and Welfare Implications of US Workers' Diverging Location Choices by Skill: 1980-2000," American Economic Review, American Economic Association, vol. 106(3), pages 479-524, March.
    5. C. Y. Cyrus Chu & Jou-Chun Lin & Wen-Jen Tsay, 2020. "Males’ housing wealth and their marriage market advantage," Journal of Population Economics, Springer;European Society for Population Economics, vol. 33(3), pages 1005-1023, July.
    6. Shang-Jin Wei & Xiaobo Zhang, 2011. "The Competitive Saving Motive: Evidence from Rising Sex Ratios and Savings Rates in China," Journal of Political Economy, University of Chicago Press, vol. 119(3), pages 511-564.
    7. Chengsi Zhang & Guojun An & Xin Yu, 2012. "What Drives China's House Prices: Marriage or Money?," China & World Economy, Institute of World Economics and Politics, Chinese Academy of Social Sciences, vol. 20(4), pages 19-36, July.
    8. Edward L. Glaeser & Matthew G. Resseger, 2010. "The Complementarity Between Cities And Skills," Journal of Regional Science, Wiley Blackwell, vol. 50(1), pages 221-244, February.
    9. Zhou, Xu Dong & Wang, Xiao Lei & Li, Lu & Hesketh, Therese, 2011. "The very high sex ratio in rural China: Impact on the psychosocial wellbeing of unmarried men," Social Science & Medicine, Elsevier, vol. 73(9), pages 1422-1427.
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    More about this item

    Keywords

    Public services; Marriage market; Spatial sorting; Real estate;
    All these keywords.

    JEL classification:

    • H41 - Public Economics - - Publicly Provided Goods - - - Public Goods
    • J16 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Gender; Non-labor Discrimination
    • J61 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Geographic Labor Mobility; Immigrant Workers

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