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Population growth, interest rate, and housing tax in the transitional China

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  • Ling-Yun He
  • Xing-Chun Wen

Abstract

This paper combines and develops the models in Lastrapes (2002) and Mankiw & Weil (1989), which enables us to analyze the effects of interest rate and population growth shocks on housing price in one integrated framework. Based on this model, we carry out policy simulations to examine whether the housing (stock or flow) tax reduces the housing price fluctuations caused by interest rate or population growth shocks. Simulation results imply that the choice of housing tax tools depends on the kind of shock that housing market faces. In the situation where the housing price volatility is caused by the population growth shock, the flow tax can reduce the volatility of housing price while the stock tax makes no difference to it. If the shock is resulting from the interest rate, the policy maker should not impose any kind of the housing taxes. Furthermore, the effect of one kind of the housing tax can be strengthened by that of the other type of housing tax.

Suggested Citation

  • Ling-Yun He & Xing-Chun Wen, 2016. "Population growth, interest rate, and housing tax in the transitional China," Papers 1610.07292, arXiv.org.
  • Handle: RePEc:arx:papers:1610.07292
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    1. Markus K. Brunnermeier & Christian Julliard, 2008. "Money Illusion and Housing Frenzies," The Review of Financial Studies, Society for Financial Studies, vol. 21(1), pages 135-180, January.
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    7. Lastrapes, William D., 2002. "The Real Price of Housing and Money Supply Shocks: Time Series Evidence and Theoretical Simulations," Journal of Housing Economics, Elsevier, vol. 11(1), pages 40-74, March.
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    12. Zhang, Chengsi, 2013. "Money, housing, and inflation in China," Journal of Policy Modeling, Elsevier, vol. 35(1), pages 75-87.
    13. 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.
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    Cited by:

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    2. 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).
    3. Yunyi Zhang & Huaying Gu, 2020. "An Improved Approach for Constructing the Real Estate Price Index with Bargaining Effect," International Journal of Economics and Finance, Canadian Center of Science and Education, vol. 12(5), pages 1-1, May.
    4. Jin, Yi & Liu, Sinuo & Sun, Yongping & Fang, Jie, 2024. "Energy transition and housing market bubbles: Evidence from prefecture cities in China," Energy Economics, Elsevier, vol. 133(C).
    5. Muhammad Adil Rauf & Olaf Weber, 2022. "Housing Sustainability: The Effects of Speculation and Property Taxes on House Prices within and beyond the Jurisdiction," Sustainability, MDPI, vol. 14(12), pages 1-19, June.

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