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Housing demand or money supply? A new Keynesian dynamic stochastic general equilibrium model on China’s housing market fluctuations

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  • Wen, Xing-Chun
  • He, Ling-Yun

Abstract

There is a bitter controversy over what drives the housing price in China in the existing literature. In this paper, we investigate the underlying driving force behind housing price fluctuations in China, especially focusing on the role of housing demand shock with that of money supply shock in explaining housing price movements, by a new Keynesian dynamic stochastic general equilibrium model. Empirical results suggest that it is housing demand, instead of money supply, that mainly drives China’s housing price movements. Relevant policy implication is further discussed, namely, whether to consider the housing price fluctuations in the conduct of monetary policy. By means of the policy simulations, we find that a real house price-augmented money supply rule is a better monetary policy for China’s economy stabilization.

Suggested Citation

  • Wen, Xing-Chun & He, Ling-Yun, 2015. "Housing demand or money supply? A new Keynesian dynamic stochastic general equilibrium model on China’s housing market fluctuations," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 432(C), pages 257-268.
    • Handle: RePEc:eee:phsmap:v:432:y:2015:i:c:p:257-268
    DOI: 10.1016/j.physa.2015.03.040
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    Cited by:

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    2. repec:ire:issued:v:26:n:03:2023:p:420-462 is not listed on IDEAS
    3. Chen, W.D., 2016. "Policy failure or success? Detecting market failure in China's housing market," Economic Modelling, Elsevier, vol. 56(C), pages 109-121.
    4. Li, Jianxuan & Shi, Yingying & Cao, Guangxi, 2018. "Topology structure based on detrended cross-correlation coefficient of exchange rate network of the belt and road countries," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 509(C), pages 1140-1151.
    5. Chunping Liu & Zhirong Ou, 2021. "What determines China's housing price dynamics? New evidence from a DSGE‐VAR," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(3), pages 3269-3305, July.
    6. Chunping Liu & Zhirong Ou, 2017. "What determines China's housing price dynamics? New evidence from a DSGE-VAR," NBS Discussion Papers in Economics 2017/04, Economics, Nottingham Business School, Nottingham Trent University.
    7. Akbobek Akhmedyarova, 2023. "Housing Market Dynamics in Kazakhstan: An Estimated DSGE Model," International Real Estate Review, Global Social Science Institute, vol. 26(3), pages 422-464.
    8. Mustafa Ozan Yıldırım & Mehmet İvrendi, 2021. "Turkish Housing Market Dynamics: An Estimated DSGE Model," Margin: The Journal of Applied Economic Research, National Council of Applied Economic Research, vol. 15(2), pages 238-267, May.
    9. Chunping Liu & Zhirong Ou, 2022. "Revisiting the determinants of house prices in China’s megacities: Cross‐sectional heterogeneity, interdependencies and spillovers," Manchester School, University of Manchester, vol. 90(3), pages 255-277, June.
    10. Hu, Zhining, 2022. "Six types of government policies and housing prices in China," Economic Modelling, Elsevier, vol. 108(C).
    11. Vanags Jānis & Geipele Ineta & Sarkans Auseklis & Usenieks Didzis, 2017. "Housing Heterogeneity Dimensions and Their Elements: a Systemic Approach," Baltic Journal of Real Estate Economics and Construction Management, Sciendo, vol. 5(1), pages 23-37, November.

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