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Climbing the property ladder: An analysis of market integration in London property prices

Author

Listed:
  • Mark J. Holmes

    (Department of Economics, Waikato University, New Zealand)

  • Jesús Otero

    (Facultad de Economía, Universidad del Rosario, Colombia)

  • Theodore Panagiotidis

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

Abstract

We investigate the long-run convergence of house prices across the London boroughs based on a pairwise unit root probabilistic testing procedure. In sharp contrast to the earlier literature, we employ a dataset that distinguishes between four different types of property in each borough. Using a quarterly dataset that spans from 1995 to 2014, we find evidence in favour of long-run convergence thereby suggesting that the great majority of London borough house prices are driven by a single common stochastic trend. In a further contribution, we offer new insights through analysing the determinants of long-run convergence, by considering the role of geographic proximity, type of accommodation, and amenities (quality of life).

Suggested Citation

  • Mark J. Holmes & Jesús Otero & Theodore Panagiotidis, 2016. "Climbing the property ladder: An analysis of market integration in London property prices," Working Paper series 16-30, Rimini Centre for Economic Analysis.
    • Handle: RePEc:rim:rimwps:16-30
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    References listed on IDEAS

    as
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    Full references (including those not matched with items on IDEAS)

    Citations

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    Cited by:

    1. 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.
    2. Miles, William, 2020. "House price convergence in the euro zone: A pairwise approach," Economic Systems, Elsevier, vol. 44(3).
    3. 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).
    4. Holmes, Mark J. & Otero, Jesús & Panagiotidis, Theodore, 2019. "Property heterogeneity and convergence club formation among local house prices," Journal of Housing Economics, Elsevier, vol. 43(C), pages 1-13.
    5. 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.
    6. 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.
    7. Moritz Degler & Karsten Staehr, 2021. "Price and income convergence and the dynamic Penn effect in Central and Eastern Europe," Economic Change and Restructuring, Springer, vol. 54(3), pages 621-635, August.
    8. Umut Unal & Bernd Hayo & Isil Erol, 2022. "Housing Market Convergence: Evidence from Germany," MAGKS Papers on Economics 202244, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).
    9. 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.
    10. Robert Webb & Duncan Watson & Steven Cook, 2021. "Price adjustment in the London housing market," Urban Studies, Urban Studies Journal Limited, vol. 58(1), pages 113-130, January.

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    More about this item

    Keywords

    pair-wise; house prices; cointegration; convergence;
    All these keywords.

    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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