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Linear and nonlinear causality in the UK housing market: a regional approach

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  • Eleni Kyriazakou
  • Theodore Panagiotidis

Abstract

We examine the causal relationship between 12 UK regional house prices. Our data span from 1983:Q1 to 2012:Q4. The causal linkages both for the first differences and the levels are examined via Granger causality. The former allows us to examine short-run predictability while the latter the long-run. We relax the assumption of linearity and examine nonlinear causality both for the levels and the first differences. We find that long-run causality among the regions is mainly linear while in the short-run is nonlinear. London’s effect on the other regions is found to be mainly nonlinear in the short-run.

Suggested Citation

  • Eleni Kyriazakou & Theodore Panagiotidis, 2014. "Linear and nonlinear causality in the UK housing market: a regional approach," Economics and Business Letters, Oviedo University Press, vol. 3(4), pages 288-297.
    • Handle: RePEc:ove:journl:aid:10429
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    File URL: https://reunido.uniovi.es/index.php/EBL/article/view/10429
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    Cited by:

    1. Lo Cascio, Iolanda, 2021. "A wavelet analysis of the ripple effect in UK regional housing markets," International Review of Economics & Finance, Elsevier, vol. 76(C), pages 1093-1105.
    2. 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.
    3. I-Chun Tsai, 2018. "The cause and outcomes of the ripple effect: housing prices and transaction volume," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 61(2), pages 351-373, September.

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