IDEAS home Printed from https://ideas.repec.org/p/cuf/wpaper/613.html
   My bibliography  Save this paper

Real Estate, Interest Rates, and Crowding-out Effects

Author

Listed:
  • Tianye Lin

    (China Economics and Management Academy, Central University of Finance and Economics)

  • Yangyang Ji

    (China Economics and Management Academy, Central University of Finance and Economics)

  • Sen Zhang

    (China Economics and Management Academy, Central University of Finance and Economics)

Abstract

In this paper, we reveal robust findings of the co-movement of real-estate loans, real-estate booms, and market interest rates by observing Chinese data and using vector auto-regressions. We construct a two-sector credit market partial equilibrium model to explain this phenomenon. The findings show that rising real-estate prices are a cause for this co-movement. We believe that an expansion in demand for real-estate loans has brought about an increase in interest rates in the credit market since 2002, which has crowded-out credit for the non-land sector. We also find that rising real-estate prices can lead to expansion in demand for real-estate loans.

Suggested Citation

  • Tianye Lin & Yangyang Ji & Sen Zhang, 2020. "Real Estate, Interest Rates, and Crowding-out Effects," CEMA Working Papers 613, China Economics and Management Academy, Central University of Finance and Economics.
    • Handle: RePEc:cuf:wpaper:613
    as

    Download full text from publisher

    File URL: http://down.aefweb.net/WorkingPapers/w613.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Christiano, Lawrence J. & Eichenbaum, Martin & Evans, Charles L., 1999. "Monetary policy shocks: What have we learned and to what end?," Handbook of Macroeconomics, in: J. B. Taylor & M. Woodford (ed.), Handbook of Macroeconomics, edition 1, volume 1, chapter 2, pages 65-148, Elsevier.
    2. 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.
    3. Kaiji Chen & Patrick C. Higgins & Daniel F. Waggoner & Tao Zha, 2016. "Impacts of Monetary Stimulus on Credit Allocation and Macroeconomy: Evidence from China," FRB Atlanta Working Paper 2016-9, Federal Reserve Bank of Atlanta.
    4. Wang, Ren & Hou, Jie & He, Xiaobei, 2017. "Real estate price and heterogeneous investment behavior in China," Economic Modelling, Elsevier, vol. 60(C), pages 271-280.
    5. He, Dong & Wang, Honglin, 2012. "Dual-track interest rates and the conduct of monetary policy in China," China Economic Review, Elsevier, vol. 23(4), pages 928-947.
    6. Yongheng Deng & Randall Morck & Jing Wu & Bernard Yeung, 2011. "Monetary and Fiscal Stimuli, Ownership Structure, and China's Housing Market," NBER Working Papers 16871, National Bureau of Economic Research, Inc.
    7. Chun Chang & Kaiji Chen & Daniel F. Waggoner & Tao Zha, 2016. "Trends and Cycles in China's Macroeconomy," NBER Macroeconomics Annual, University of Chicago Press, vol. 30(1), pages 1-84.
    8. Kaiji Chen & Jue Ren & Tao Zha, 2018. "The Nexus of Monetary Policy and Shadow Banking in China," American Economic Review, American Economic Association, vol. 108(12), pages 3891-3936, December.
    9. Dong He & Honglin Wang, 2013. "Monetary Policy and Bank Lending in China - Evidence from Loan-Level Data," Working Papers 162013, Hong Kong Institute for Monetary Research.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Fu, Buben & Wang, Bin, 2020. "The transition of China's monetary policy regime: Before and after the four trillion RMB stimulus," Economic Modelling, Elsevier, vol. 89(C), pages 273-303.
    2. Makram El-Shagi & Lunan Jiang, 2017. "China Monetary Policy Transmission in China: Dual Shocks with Dual Bond Markets," CFDS Discussion Paper Series 2017/2, Center for Financial Development and Stability at Henan University, Kaifeng, Henan, China.
    3. Yin Germaschewski, 2023. "House price volatility in China: Demand versus supply," Economic Inquiry, Western Economic Association International, vol. 61(1), pages 199-220, January.
    4. Kaiji Chen & Haoyu Gao & Patrick Higgins & Daniel F. Waggoner & Tao Zha, 2023. "Monetary Stimulus amidst the Infrastructure Investment Spree: Evidence from China's Loan‐Level Data," Journal of Finance, American Finance Association, vol. 78(2), pages 1147-1204, April.
    5. Li, Huan & Ni, Jinlan & Xu, Yueli & Zhan, Minghua, 2021. "Monetary policy and its transmission channels: Evidence from China," Pacific-Basin Finance Journal, Elsevier, vol. 68(C).
    6. Guo, Yumei & Huang, Xianjing & Peng, Yuchao, 2020. "How does house price influence monetary policy transmission?," International Review of Financial Analysis, Elsevier, vol. 72(C).
    7. Higgins, Patrick & Zha, Tao & Zhong, Wenna, 2016. "Forecasting China's economic growth and inflation," China Economic Review, Elsevier, vol. 41(C), pages 46-61.
    8. Güneş Kamber & Madhusudan Mohanty, 2018. "Do interest rates play a major role in monetary policy transmission in China?," BIS Working Papers 714, Bank for International Settlements.
    9. Gu, Yanwei & Guo, Jing & Liang, Xiao & Zhao, Yajun, 2022. "Does the debt-growth link differ across private and public debt? Evidence from China," Economic Modelling, Elsevier, vol. 114(C).
    10. Chang, Chun & Liu, Zheng & Spiegel, Mark M. & Zhang, Jingyi, 2019. "Reserve requirements and optimal Chinese stabilization policy," Journal of Monetary Economics, Elsevier, vol. 103(C), pages 33-51.
    11. Wang, Bin, 2019. "Measuring the natural rate of interest of China: A time varying perspective," Economics Letters, Elsevier, vol. 176(C), pages 117-120.
    12. Bradley Jones & Joel Bowman, 2019. "China's Evolving Monetary Policy Framework in International Context," RBA Research Discussion Papers rdp2019-11, Reserve Bank of Australia.
    13. Kaiji Chen & Tao Zha, 2018. "Macroeconomic Effects of China's Financial Policies," FRB Atlanta Working Paper 2018-12, Federal Reserve Bank of Atlanta.
    14. Ran, Gao & Zixiang, Zhu & Jianhao, Lin, 2022. "Consumption–investment comovement and the dynamic impact of monetary policy uncertainty in China," Economic Modelling, Elsevier, vol. 113(C).
    15. Shu, Chang & He, Dong & Cheng, Xiaoqiang, 2015. "One currency, two markets: the renminbi's growing influence in Asia-Pacific," China Economic Review, Elsevier, vol. 33(C), pages 163-178.
    16. Chen, Hongyi & Chow, Kenneth & Tillmann, Peter, 2017. "The effectiveness of monetary policy in China: Evidence from a Qual VAR," China Economic Review, Elsevier, vol. 43(C), pages 216-231.
    17. Jia Pengfei & Lim King Yoong, 2021. "Tax Policy and Toxic Housing Bubbles in China," The B.E. Journal of Macroeconomics, De Gruyter, vol. 21(1), pages 151-183, January.
    18. Zhang, Min & Zhang, Yahong, 2022. "Monetary stimulus policy in China: The bank credit channel," China Economic Review, Elsevier, vol. 74(C).
    19. Yi Wen & Jing Wu, 2019. "Withstanding the Great Recession Like China," Manchester School, University of Manchester, vol. 87(2), pages 138-182, March.
    20. Pao‐Lin Tien & Tara M. Sinclair & Edward N. Gamber, 2021. "Do Fed Forecast Errors Matter?," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 83(3), pages 686-712, June.

    More about this item

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:cuf:wpaper:613. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Qiang Gao (email available below). General contact details of provider: https://edirc.repec.org/data/emcufcn.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.