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Mapping China's time-varying house price landscape

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  • Funke, Michael
  • Leiva-Leon, Danilo
  • Tsang, Andrew

Abstract

The recent increase in China's house prices at the national level masks tremendous variation at the city level – a feature largely overlooked in the macroprudential literature. This paper considers the evolving heterogeneity in China's house price dynamics across 70 cities and assess the main deter-minants. We gauge the heterogeneity of house price dynamics using a novel regime-switching modelling approach to estimate the time-varying patterns of China's city-level housing price synchronization. After sorting city-level housing prices into four clusters sharing similar cyclical features, we see that each group shows increasing synchronization in the years leading up to 2015, and a decoupling pattern thereafter. We document high synchronization within each of the clusters of cities, but low synchronization among them. The empirical evidence suggests that differentials in the growth of households, income, investment and even differences in air quality explain housing price synchronization among cities.

Suggested Citation

  • Funke, Michael & Leiva-Leon, Danilo & Tsang, Andrew, 2017. "Mapping China's time-varying house price landscape," BOFIT Discussion Papers 21/2017, Bank of Finland Institute for Emerging Economies (BOFIT).
    • Handle: RePEc:zbw:bofitp:bdp2017_021
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    2. Maynou, Laia & Monfort, Mercedes & Morley, Bruce & Ordóñez, Javier, 2021. "Club convergence in European housing prices: The role of macroeconomic and housing market fundamentals," Economic Modelling, Elsevier, vol. 103(C).

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    More about this item

    JEL classification:

    • E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models

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