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Housing wealth effects in China

Author

Listed:
  • Benoit Mojon
  • Han Qiu
  • Fang Wang
  • Michael Weber

Abstract

We estimate the effects of changes in house prices on consumption using unique data of Alipay transactions from Chinese households, spanning from January 2017 to March 2023. We find significant housing wealth effects: changes in house prices are positively associated with future changes in consumption in 33 Tier 1 and Tier 2 cities. Specifically, in these cities, a 10% increase in house prices leads to a 1.6% increase in consumption. However, this relationship is not observed in smaller Tier 3 and Tier 4 cities. We also find that housing wealth effects are more pronounced among older households and homeowners, while renters show no such effect. Additionally, in Tier 3 and Tier 4 cities, higher house prices tend to crowd out consumption among younger households.

Suggested Citation

  • Benoit Mojon & Han Qiu & Fang Wang & Michael Weber, 2025. "Housing wealth effects in China," BIS Working Papers 1319, Bank for International Settlements.
  • Handle: RePEc:bis:biswps:1319
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    References listed on IDEAS

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    1. Chen, Zhuo & He, Zhiguo & Liu, Chun, 2020. "The financing of local government in China: Stimulus loan wanes and shadow banking waxes," Journal of Financial Economics, Elsevier, vol. 137(1), pages 42-71.
    2. Anthony A. Defusco, 2018. "Homeowner Borrowing and Housing Collateral: New Evidence from Expiring Price Controls," Journal of Finance, American Finance Association, vol. 73(2), pages 523-573, April.
    3. Atif Mian & Kamalesh Rao & Amir Sufi, 2013. "Household Balance Sheets, Consumption, and the Economic Slump," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 128(4), pages 1687-1726.
    4. Amir Sufi, 2023. "Housing, Household Debt, and the Business Cycle: An Application to China and Korea," NBER Working Papers 31489, National Bureau of Economic Research, Inc.
    5. Leonardo Gambacorta & Yiping Huang & Zhenhua Li & Han Qiu & Shu Chen, 2023. "Data versus Collateral," Review of Finance, European Finance Association, vol. 27(2), pages 369-398.
    6. James T. E. Chapman & Ajit Desai, 2023. "Macroeconomic Predictions Using Payments Data and Machine Learning," Forecasting, MDPI, vol. 5(4), pages 1-32, November.
    7. Wu, Jing & Gyourko, Joseph & Deng, Yongheng, 2012. "Evaluating conditions in major Chinese housing markets," Regional Science and Urban Economics, Elsevier, vol. 42(3), pages 531-543.
    8. Aditya Aladangady, 2017. "Housing Wealth and Consumption: Evidence from Geographically-Linked Microdata," American Economic Review, American Economic Association, vol. 107(11), pages 3415-3446, November.
    9. Kaiji Chen & Yi Wen, 2017. "The Great Housing Boom of China," American Economic Journal: Macroeconomics, American Economic Association, vol. 9(2), pages 73-114, April.
    10. Edward Glaeser & Wei Huang & Yueran Ma & Andrei Shleifer, 2017. "A Real Estate Boom with Chinese Characteristics," Journal of Economic Perspectives, American Economic Association, vol. 31(1), pages 93-116, Winter.
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    Keywords

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    JEL classification:

    • R2 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis
    • R3 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location

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