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Untangling the nonlinear “knots” of UK’s housing prices

Author

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  • Constantinos Alexiou
  • Sofoklis Vogiazas

Abstract

Purpose - Housing prices in the UK offer an inspiring, yet a complex and under-explored research area. The purpose of this paper is to investigate the critical factors that affect UK’s housing prices. Design/methodology/approach - The authors utilize the recently developed nonlinear ARDL approach of Shinet al.(2014) over the period 1969–2016. Findings - The authors find that both the long-run and short-run impact of the price-to-rent (PTR) ratio and credit-to-GDP ratio on house prices (HP) is asymmetric whilst ambiguous results are established for mortgage rates, industrial production and equities. Apart from the novel framework of analysis, this study also establishes a positive association between HP and the PTR ratio which suggests a speculative behaviour and could imply the formation of a housing bubble. Originality/value - It is the first study for the UK housing market that explores the underlying fundamental relationships by looking at nonlinearities hence, allowing HP to be tied by asymmetric relationships in the long as well as in the short run. Modelling the inherent nonlinearities enhances significantly the understanding of UK housing market which can prove useful for policymaking and forecasting purposes.

Suggested Citation

  • Constantinos Alexiou & Sofoklis Vogiazas, 2019. "Untangling the nonlinear “knots” of UK’s housing prices," Journal of Economic Studies, Emerald Group Publishing Limited, vol. 46(5), pages 1083-1103, August.
  • Handle: RePEc:eme:jespps:jes-06-2018-0222
    DOI: 10.1108/JES-06-2018-0222
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    Citations

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    Cited by:

    1. Mohsen Bahmani-Oskooee & Hesam Ghodsi & Muris Hadzic, 2021. "On the Link between House Prices and House Permits: Asymmetric Evidence from 51 States of the United States of America," International Real Estate Review, Global Social Science Institute, vol. 24(3), pages 323-361.

    More about this item

    Keywords

    UK; Housing prices; Nonlinear autoregressive distributed lag; C22; R21; R31;
    All these keywords.

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • 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

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