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Money, housing, and inflation in China

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  • Zhang, Chengsi

Abstract

This paper examines the relationship among money, housing, and consumer price inflation in China since 1998. We use a standard multivariate dynamic model and show that when goods prices are sticky, monetary growth is initially transmitted to the real economy via changes in house prices; the changes in house prices are then transmitted to consumer price inflation in China. The results indicate that the recent real estate market boom, mainly driven by excessive monetary growth, dominates the underlying pattern of inflation behavior in China. Relevant policy implications are also discussed.

Suggested Citation

  • Zhang, Chengsi, 2013. "Money, housing, and inflation in China," Journal of Policy Modeling, Elsevier, vol. 35(1), pages 75-87.
  • Handle: RePEc:eee:jpolmo:v:35:y:2013:i:1:p:75-87
    DOI: 10.1016/j.jpolmod.2012.04.006
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    1. Friedman, Milton, 1988. "Money and the Stock Market," Journal of Political Economy, University of Chicago Press, vol. 96(2), pages 221-245, April.
    2. Mark Gertler & Jordi Gali & Richard Clarida, 1999. "The Science of Monetary Policy: A New Keynesian Perspective," Journal of Economic Literature, American Economic Association, vol. 37(4), pages 1661-1707, December.
    3. James H. Stock & Mark W. Watson, 2003. "Has the Business Cycle Changed and Why?," NBER Chapters, in: NBER Macroeconomics Annual 2002, Volume 17, pages 159-230, National Bureau of Economic Research, Inc.
    4. Ashra, Sunil & Chattopadhyay, Saumen & Chaudhuri, Kausik, 2004. "Deficit, money and price: the Indian experience," Journal of Policy Modeling, Elsevier, vol. 26(3), pages 289-299, April.
    5. Clarida, Richard & Gali, Jordi & Gertler, Mark, 2002. "A simple framework for international monetary policy analysis," Journal of Monetary Economics, Elsevier, vol. 49(5), pages 879-904, July.
    6. Ben S. Bernanke & Mark Gertler, 1995. "Inside the Black Box: The Credit Channel of Monetary Policy Transmission," Journal of Economic Perspectives, American Economic Association, vol. 9(4), pages 27-48, Fall.
    7. Zhang, Chengsi & Clovis, Joel, 2010. "China inflation dynamics: Persistence and policy regimes," Journal of Policy Modeling, Elsevier, vol. 32(3), pages 373-388, May.
    8. Qin, Duo & Quising, Pilipinas & He, Xinhua & Liu, Shiguo, 2005. "Modeling monetary transmission and policy in China," Journal of Policy Modeling, Elsevier, vol. 27(2), pages 157-175, March.
    9. Ben S. Bernanke & Mark Gertler, 1999. "Monetary policy and asset price volatility," Economic Review, Federal Reserve Bank of Kansas City, vol. 84(Q IV), pages 17-51.
    10. Charles Goodhart & Boris Hofmann, 2008. "House prices, money, credit, and the macroeconomy," Oxford Review of Economic Policy, Oxford University Press and Oxford Review of Economic Policy Limited, vol. 24(1), pages 180-205, spring.
    11. Christian Broda & David W. Weinstein, 2004. "Variety Growth and World Welfare," American Economic Review, American Economic Association, vol. 94(2), pages 139-144, May.
    12. Belke, Ansgar & Polleit, Thorsten, 2006. "Money and Swedish inflation," Journal of Policy Modeling, Elsevier, vol. 28(8), pages 931-942, November.
    13. Ansgar Belke & Thorsten Polleit, 2006. "Money and Swedish Inflation Reconsidered," Diskussionspapiere aus dem Institut für Volkswirtschaftslehre der Universität Hohenheim 270/2006, Department of Economics, University of Hohenheim, Germany.
    14. Hasan, Mohammad S., 1999. "Monetary Growth and Inflation in China: A Reexamination," Journal of Comparative Economics, Elsevier, vol. 27(4), pages 669-685, December.
    15. Us, Vuslat, 2004. "Inflation dynamics and monetary policy strategy: some prospects for the Turkish economy," Journal of Policy Modeling, Elsevier, vol. 26(8-9), pages 1003-1013, December.
    16. Mark Gertler & Jordi Gali & Richard Clarida, 1999. "The Science of Monetary Policy: A New Keynesian Perspective," Journal of Economic Literature, American Economic Association, vol. 37(4), pages 1661-1707, December.
    17. Detken, Carsten & Adalid, Ramón, 2007. "Liquidity shocks and asset price boom/bust cycles," Working Paper Series 732, European Central Bank.
    18. Chao-Dong Huang, "undated". "Economic Reforms and Inflation in China: An Econometric Analysis," Discussion Papers in Economics 95/8, Division of Economics, School of Business, University of Leicester.
    19. Chengsi Zhang, 2010. "Inflation Uncertainty and Monetary Policy in China," China & World Economy, Institute of World Economics and Politics, Chinese Academy of Social Sciences, vol. 18(3), pages 40-55, May.
    20. Allan H. Meltzer, 1995. "Monetary, Credit and (Other) Transmission Processes: A Monetarist Perspective," Journal of Economic Perspectives, American Economic Association, vol. 9(4), pages 49-72, Fall.
    Full references (including those not matched with items on IDEAS)

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    Cited by:

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    2. He, Ling-Yun & Wen, Xing-Chun, 2017. "Population growth, interest rate, and housing tax in the transitional China," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 469(C), pages 305-312.
    3. Fong Kean Yan & Yap Lya Keng & Kwek Kien Teng, 2016. "Empirical Analysis of House Price Bubble: A Case Study on Malaysia," International Journal of Business and Management, Canadian Center of Science and Education, vol. 11(12), pages 127-127, November.
    4. Gregory C. Chow & Linlin Niu, 2015. "Housing Prices in Urban China as Determined by Demand and Supply," Pacific Economic Review, Wiley Blackwell, vol. 20(1), pages 1-16, February.
    5. Guo, Shen & Jiang, Zheng & Shi, Huimin, 2018. "The business cycle implications of bank discrimination in China," Economic Modelling, Elsevier, vol. 73(C), pages 264-278.
    6. O. Evans, 2019. "Money, Inflation and Output in Nigeria and South Africa: Could Friedman and Schwartz Be Right?," Journal of African Business, Taylor & Francis Journals, vol. 20(3), pages 392-406, July.
    7. Chien-Fu Chen & Shu-hen Chiang, 2020. "Time-varying spillovers among first-tier housing markets in China," Urban Studies, Urban Studies Journal Limited, vol. 57(4), pages 844-864, March.
    8. Yongheng Deng & Eric Girardin & Roselyne Joyeux, 2015. "Fundamentals and the Volatility of Real Estate Prices in China: A Sequential Modelling Strategy," Working Papers 222015, Hong Kong Institute for Monetary Research.
    9. Deng, Yongheng & Girardin, Eric & Joyeux, Roselyne, 2018. "Fundamentals and the volatility of real estate prices in China: A sequential modelling strategy," China Economic Review, Elsevier, vol. 48(C), pages 205-222.
    10. Pei Yin & Jing Cheng & Miaojuan Peng, 2022. "Analyzing the Passenger Flow of Urban Rail Transit Stations by Using Entropy Weight-Grey Correlation Model: A Case Study of Shanghai in China," Mathematics, MDPI, vol. 10(19), pages 1-23, September.
    11. 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.
    12. Liang, Wenquan & Lu, Ming & Zhang, Hang, 2016. "Housing prices raise wages: Estimating the unexpected effects of land supply regulation in China," Journal of Housing Economics, Elsevier, vol. 33(C), pages 70-81.
    13. Fang, Debin & Hao, Peng & Hao, Jian, 2019. "Study of the influence mechanism of China's electricity consumption based on multi-period ST-LMDI model," Energy, Elsevier, vol. 170(C), pages 730-743.
    14. Shu-hen Chiang, 2014. "Housing Markets in China and Policy Implications: Comovement or Ripple Effect," China & World Economy, Institute of World Economics and Politics, Chinese Academy of Social Sciences, vol. 22(6), pages 103-120, November.
    15. Yii, Kwang-Jing & Tan, Chai-Thing & Ho, Wing-Ken & Kwan, Xiao-Hui & Nerissa, Feng-Ting Shim & Tan, Yan-Yi & Wong, Kar-Horn, 2022. "Land availability and housing price in China: Empirical evidence from nonlinear autoregressive distributed lag (NARDL)," Land Use Policy, Elsevier, vol. 113(C).
    16. Diandian Ma & Benfu Lv & Xuerong Li & Xiuting Li & Shuqin Liu, 2023. "Heterogeneous Impacts of Policy Sentiment with Different Themes on Real Estate Market: Evidence from China," Sustainability, MDPI, vol. 15(2), pages 1-21, January.
    17. Cheng-Wen Lee & Shu-Hen Chiang & Zhong-Qin Wen, 2023. "Pursuing the Sustainability of Real Estate Market: The Case of Chinese Land Resources Diversification," Sustainability, MDPI, vol. 15(7), pages 1-19, March.
    18. Shu-hen Chiang, 2016. "Rising residential rents in Chinese mega cities: The role of monetary policy," Urban Studies, Urban Studies Journal Limited, vol. 53(16), pages 3493-3509, December.
    19. Su, Chi-Wei & Wang, Xiao-Qing & Tao, Ran & Chang, Hsu-Ling, 2019. "Does money supply drive housing prices in China?," International Review of Economics & Finance, Elsevier, vol. 60(C), pages 85-94.

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    More about this item

    Keywords

    Inflation; Money; Real estate; Monetary policy;
    All these keywords.

    JEL classification:

    • E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation
    • E52 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Monetary Policy
    • 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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