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A Pair-Wise Analysis of Intra-City Price Convergence Within the Paris Housing Market

Author

Listed:
  • Mark J. Holmes

    (Department of Economics, Waikato University, New Zealand)

  • Jesus Otero

    (Department of Economics, University of Rosario, Colombia)

  • Theodore Panagiotidis

    (Department of Economics, University of Macedonia, Greece; The Rimini Centre for Economic Analysis, Italy)

Abstract
We examine long-run house price convergence across the twenty Paris districts using a quarterly dataset that spans from 1991 to 2014. Our econometric modelling exercise adopts a pair wise approach that is built on a probabilistic test for convergence based on house price differentials. We find that more than 50% of the intra-city house price differentials that can be computed are stationary. Our findings further reveal that the half-life of a shock to long-run price equilibrium is affected positively by unemployment, distance and housing supply.

Suggested Citation

  • Mark J. Holmes & Jesus Otero & Theodore Panagiotidis, 2015. "A Pair-Wise Analysis of Intra-City Price Convergence Within the Paris Housing Market," Working Paper series 15-39, Rimini Centre for Economic Analysis.
  • Handle: RePEc:rim:rimwps:15-39
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    References listed on IDEAS

    as
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    Citations

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    Cited by:

    1. Mark J Holmes & Jesús Otero & Theodore Panagiotidis, 2018. "Climbing the property ladder: An analysis of market integration in London property prices," Urban Studies, Urban Studies Journal Limited, vol. 55(12), pages 2660-2681, September.
    2. Sanghyun Kim & Juhyung Kim & Jaejun Kim, 2016. "Structural Changes in the Korean Housing Market before and after Macroeconomic Fluctuations," Sustainability, MDPI, vol. 8(5), pages 1-20, April.
    3. Kyriazakou, Eleni & Panagiotidis, Theodore, 2017. "Causality analysis of the Canadian city house price indices: A cross-sample validation approach," The Journal of Economic Asymmetries, Elsevier, vol. 16(C), pages 42-52.
    4. Philipp Otto & Osman Dou{g}an & Suleyman Tac{s}p{i}nar, 2022. "Dynamic Spatiotemporal ARCH Models," Papers 2202.13856, arXiv.org.
    5. Miles, William, 2020. "House price convergence in the euro zone: A pairwise approach," Economic Systems, Elsevier, vol. 44(3).
    6. Gabrieli, Tommaso & Panagiotidis, Theodore & Xu, Yishuang, 2019. "Pair-wise convergence of intra-city house prices in Beijing," The Journal of Economic Asymmetries, Elsevier, vol. 20(C).
    7. Jin Hu & Xuelei Xiong & Yuanyuan Cai & Feng Yuan, 2020. "The Ripple Effect and Spatiotemporal Dynamics of Intra-Urban Housing Prices at the Submarket Level in Shanghai, China," Sustainability, MDPI, vol. 12(12), pages 1-17, June.
    8. Eleni Kyriazakou & Theodore Panagiotidis, 2018. "A nonlinear pairwise approach for the convergence of UK regional house prices," International Economics and Economic Policy, Springer, vol. 15(2), pages 467-481, April.
    9. Sidong Zhao & Kaixu Zhao & Ping Zhang, 2021. "Spatial Inequality in China’s Housing Market and the Driving Mechanism," Land, MDPI, vol. 10(8), pages 1-33, August.
    10. Miles, William, 2020. "Regional convergence-and divergence-in the US," Research in Economics, Elsevier, vol. 74(2), pages 131-139.
    11. Omar H. M. N. Bashar, 2021. "An Intra-City Analysis of House Price Convergence and Spatial Dependence," The Journal of Real Estate Finance and Economics, Springer, vol. 63(4), pages 525-546, November.
    12. Mateusz Tomal, 2022. "Testing for overall and cluster convergence of housing rents using robust methodology: evidence from Polish provincial capitals," Empirical Economics, Springer, vol. 62(4), pages 2023-2055, April.
    13. Yuanyuan Cai & Yingming Zhu & Marco Helbich, 2022. "Club convergence of regional housing prices in China: evidence from 70 major Cities," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 69(1), pages 33-55, August.

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    More about this item

    JEL classification:

    • C2 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables
    • C3 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables
    • R1 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics
    • R2 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis
    • R3 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location

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