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The crowding out channel: Housing boom and investment in China

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  • Zhang, He
  • Meng, Xianchun

Abstract

We develop a novel mechanism that captures the negative co-movements between housing prices and investment in China by incorporating the crowding out channel into a NK-DSGE model. Through this channel, a credit-driven housing boom stimulates constrained commercial banks to allocate more credit to the unproductive household sector instead of entrepreneur sector, crowding out corporate investment.

Suggested Citation

  • Zhang, He & Meng, Xianchun, 2021. "The crowding out channel: Housing boom and investment in China," Finance Research Letters, Elsevier, vol. 43(C).
    • Handle: RePEc:eee:finlet:v:43:y:2021:i:c:s1544612321000404
    DOI: 10.1016/j.frl.2021.101959
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    References listed on IDEAS

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    1. Matteo Iacoviello, 2005. "House Prices, Borrowing Constraints, and Monetary Policy in the Business Cycle," American Economic Review, American Economic Association, vol. 95(3), pages 739-764, June.
    2. Matteo Iacoviello, 2015. "Financial Business Cycles," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 18(1), pages 140-164, January.
    3. Bernanke, Ben S. & Gertler, Mark & Gilchrist, Simon, 1999. "The financial accelerator in a quantitative business cycle framework," Handbook of Macroeconomics, in: J. B. Taylor & M. Woodford (ed.), Handbook of Macroeconomics, edition 1, volume 1, chapter 21, pages 1341-1393, Elsevier.
    4. Zheng Liu & Pengfei Wang & Tao Zha, 2013. "Land‐Price Dynamics and Macroeconomic Fluctuations," Econometrica, Econometric Society, vol. 81(3), pages 1147-1184, May.
    5. Matteo Iacoviello & Stefano Neri, 2010. "Housing Market Spillovers: Evidence from an Estimated DSGE Model," American Economic Journal: Macroeconomics, American Economic Association, vol. 2(2), pages 125-164, April.
    6. Bleck, Alexander & Liu, Xuewen, 2018. "Credit expansion and credit misallocation," Journal of Monetary Economics, Elsevier, vol. 94(C), pages 27-40.
    7. Calvo, Guillermo A., 1983. "Staggered prices in a utility-maximizing framework," Journal of Monetary Economics, Elsevier, vol. 12(3), pages 383-398, September.
    8. 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.
    9. Gertler, Mark & Karadi, Peter, 2011. "A model of unconventional monetary policy," Journal of Monetary Economics, Elsevier, vol. 58(1), pages 17-34, January.
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    More about this item

    Keywords

    Housing prices dynamics; Credit constraints; Crowding-out channel;
    All these keywords.

    JEL classification:

    • E22 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Investment; Capital; Intangible Capital; Capacity
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • E44 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Financial Markets and the Macroeconomy
    • E58 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Central Banks and Their Policies

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