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Not all cities are alike : House price heterogeneity and the design of macro-prudential policies in China

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  • Funke, Michael
  • Tsang, Andrew
  • Zhu, Linxu

Abstract

This paper investigates the implementation of regionally differentiated macro-prudential policies in China. To assess the relative intensity of the city-level macro-prudential policies over time, we construct a time-varying city-level macro-prudential policy intensity indicator for 70 Chinese cities from 2010-2017. The empirical evidence shows China’s macro-prudential toolbox has gradually evolved toward city-level policies tailored to granular local conditions to mitigate risks.

Suggested Citation

  • Funke, Michael & Tsang, Andrew & Zhu, Linxu, 2018. "Not all cities are alike : House price heterogeneity and the design of macro-prudential policies in China," BOFIT Discussion Papers 18/2018, Bank of Finland, Institute for Economies in Transition.
  • Handle: RePEc:bof:bofitp:2018_018
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    1. Yavuz Arslan & Bulent Guler & Temel Taskin, 2015. "Joint Dynamics of House Prices and Foreclosures," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 47(S1), pages 133-169, March.
    2. Ben S. Bernanke & Mark Gertler, 2001. "Should Central Banks Respond to Movements in Asset Prices?," American Economic Review, American Economic Association, vol. 91(2), pages 253-257, May.
    3. Peter C. B. Phillips & Shuping Shi & Jun Yu, 2014. "Specification Sensitivity in Right-Tailed Unit Root Testing for Explosive Behaviour," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 76(3), pages 315-333, June.
    4. Du, Zaichao & Zhang, Lin, 2015. "Home-purchase restriction, property tax and housing price in China: A counterfactual analysis," Journal of Econometrics, Elsevier, vol. 188(2), pages 558-568.
    5. Harvey, David I. & Leybourne, Stephen J. & Newbold, Paul, 2002. "Seasonal unit root tests with seasonal mean shifts," Economics Letters, Elsevier, vol. 76(2), pages 295-302, July.
    6. Magdalinos, Tassos, 2012. "Mildly explosive autoregression under weak and strong dependence," Journal of Econometrics, Elsevier, vol. 169(2), pages 179-187.
    7. Gao, Andre & Lin, Zhenguo & Na, Carrie Fangzhou, 2009. "Housing market dynamics: Evidence of mean reversion and downward rigidity," Journal of Housing Economics, Elsevier, vol. 18(3), pages 256-266, September.
    8. Simon Alder & Lin Shao & Fabrizio Zilibotti, 2016. "Economic reforms and industrial policy in a panel of Chinese cities," Journal of Economic Growth, Springer, vol. 21(4), pages 305-349, December.
    9. Gilchrist, Simon & Leahy, John V., 2002. "Monetary policy and asset prices," Journal of Monetary Economics, Elsevier, vol. 49(1), pages 75-97, January.
    10. Phillips, Peter C.B. & Magdalinos, Tassos, 2007. "Limit theory for moderate deviations from a unit root," Journal of Econometrics, Elsevier, vol. 136(1), pages 115-130, January.
    11. Bin Wang & Tao Sun, 2013. "How Effective are Macroprudential Policies in China?," IMF Working Papers 13/75, International Monetary Fund.
    12. Stephen J. Leybourne & Tae‐Hwan Kim & A. M. Robert Taylor, 2006. "Regression‐based Tests for a Change in Persistence," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 68(5), pages 595-621, October.
    13. Peter C. B. Phillips & Shuping Shi & Jun Yu, 2015. "Testing For Multiple Bubbles: Limit Theory Of Real‐Time Detectors," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 56, pages 1079-1134, November.
    14. Koen Decancq & María Ana Lugo, 2013. "Weights in Multidimensional Indices of Wellbeing: An Overview," Econometric Reviews, Taylor & Francis Journals, vol. 32(1), pages 7-34, January.
    15. Ilhyock Shim & Bilyana Bogdanova & Jimmy Shek & Agne Subeltye, 2013. "Database for policy actions on housing markets," BIS Quarterly Review, Bank for International Settlements, September.
    16. Crowe, Christopher & Dell’Ariccia, Giovanni & Igan, Deniz & Rabanal, Pau, 2013. "How to deal with real estate booms: Lessons from country experiences," Journal of Financial Stability, Elsevier, vol. 9(3), pages 300-319.
    17. Del Negro, Marco & Otrok, Christopher, 2007. "99 Luftballons: Monetary policy and the house price boom across U.S. states," Journal of Monetary Economics, Elsevier, vol. 54(7), pages 1962-1985, October.
    18. Kim, Tae-Hwan & Leybourne, Stephen & Newbold, Paul, 2002. "Unit root tests with a break in innovation variance," Journal of Econometrics, Elsevier, vol. 109(2), pages 365-387, August.
    19. Bai, ChongEn & Li, Qi & Ouyang, Min, 2014. "Property taxes and home prices: A tale of two cities," Journal of Econometrics, Elsevier, vol. 180(1), pages 1-15.
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    JEL classification:

    • O18 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Urban, Rural, Regional, and Transportation Analysis; Housing; Infrastructure
    • E52 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Monetary Policy
    • C38 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Classification Methdos; Cluster Analysis; Principal Components; Factor Analysis

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