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Revisiting International House Price Convergence Using House Price Level Data

Author

Listed:
  • Christophe Andre

    (OECD, 2 Rue Andre Pascal, 75775, Paris, Cedex 16, France)

  • Christina Christou

    (Open University of Cyprus, School of Economics and Management, Giannou Kranidioti 56, 2220 Latsia, Cyprus)

  • Rangan Gupta

    (Department of Economics, University of Pretoria, Private Bag X20, Hatfield 0028, South Africa)

Abstract

The literature on house price convergence largely relies on house price indices, based in an arbitrary year, rather than on actual price levels. This is essentially due to the scarcity of comparable house price level data. However, this severely constrains the analysis. In particular, it often forces to discard a large part of the data sample, which leads to a great loss of information and hampers analysis on sub-periods. In this paper, we combine the price level estimates produced by Bricongne et al. (2019) with long OECD house price series to analyse house price convergence across 18 OECD countries. Applying the Phillips and Sul (2007) procedure, we find convergence in OECD nominal house prices, but two separate convergence clubs in real house prices. We find some convergence in euro area real house prices, but no evidence of strengthening after the introduction of the euro. β-convergence regressions (linking changes in house prices to their initial levels) point to conditional convergence, related to the evolution of gaps in real GDP per capita, long-term interest rates and population growth across countries.

Suggested Citation

  • Christophe Andre & Christina Christou & Rangan Gupta, 2022. "Revisiting International House Price Convergence Using House Price Level Data," Working Papers 202226, University of Pretoria, Department of Economics.
  • Handle: RePEc:pre:wpaper:202226
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    More about this item

    Keywords

    : Convergence; House prices; Housing markets; OECD; Panel data models;
    All these keywords.

    JEL classification:

    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • R21 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - Housing Demand
    • R31 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location - - - Housing Supply and Markets
    • F45 - International Economics - - Macroeconomic Aspects of International Trade and Finance - - - Macroeconomic Issues of Monetary Unions

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