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House Price-Volume Dynamics: Evidence from 12 Cities in New Zealand

Author

Listed:
  • Song Shi

    (Massey University)

  • Martin Young

    (Massey University)

  • Bob Hargreaves

    (Massey University)

Abstract

Using a selected New Zealand urban area data set for the period 1994–2004, we examine price and volume dynamics using various house price indexing approaches. Applying the Granger causality test based on a vector error correction model (VECM), where seasonality is considered in the model by using seasonal dummy variables, we find that sale price and trading volume are cointegrated. Causality is caused by a long-run relationship rather than short-run dynamics between price and volume. The direction of causality for large cities is from volume to price. The results support the theory of frictional search models for housing markets in general.

Suggested Citation

  • Song Shi & Martin Young & Bob Hargreaves, 2010. "House Price-Volume Dynamics: Evidence from 12 Cities in New Zealand," Journal of Real Estate Research, American Real Estate Society, vol. 32(1), pages 75-100.
    • Handle: RePEc:jre:issued:v:32:n:1:2010:p:75-100
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    References listed on IDEAS

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    3. Karolien De Bruyne & Jan Van Hove, 2013. "Explaining the spatial variation in housing prices: an economic geography approach," Applied Economics, Taylor & Francis Journals, vol. 45(13), pages 1673-1689, May.
    4. Ryan Greenaway‐McGrevy & Arthur Grimes & Mark Holmes, 2019. "Two countries, sixteen cities, five thousand kilometres: How many housing markets?," Papers in Regional Science, Wiley Blackwell, vol. 98(1), pages 353-370, February.
    5. Chien-Wen Peng & I-Chun Tsai & Wey-Wen Wu, 2011. "Price and Volume Relationship under Housing Presale System," ERES eres2011_106, European Real Estate Society (ERES).
    6. Nikolaos Antonakakis & Ioannis Chatziantoniou & David Gabauer, 2021. "A regional decomposition of US housing prices and volume: market dynamics and Portfolio diversification," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 66(2), pages 279-307, April.
    7. Chien-Chiang Lee & Chin-Yu Wang & Jhih-Hong Zeng, 2017. "Housing price–volume correlations and boom–bust cycles," Empirical Economics, Springer, vol. 52(4), pages 1423-1450, June.
    8. Florent Buisson, 2016. "Prospect Theory and Loss Aversion in the Housing Market," Journal of Real Estate Research, American Real Estate Society, vol. 38(2), pages 229-250.
    9. Antoine Giannetti, 2021. "Home Sales Pair Counts: The Organic Metric for Trading Volume in Housing Markets," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 49(2), pages 610-634, June.
    10. Tsai, I-Chun, 2019. "Dynamic price–volume causality in the American housing market: A signal of market conditions," The North American Journal of Economics and Finance, Elsevier, vol. 48(C), pages 385-400.
    11. Chen, Jiawei & Hui, Eddie Chi-Man & Seiler, Michael J. & Zhang, Hong, 2018. "Household tenure choice and housing price volatility under a binding home-purchase limit policy constraint," Journal of Housing Economics, Elsevier, vol. 41(C), pages 124-134.
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    13. Nikolaos Antonakakis & Ioannis Chatziantoniou & David Gabauer, 2019. "A Regional Decomposition of US Housing Prices and Volume: Market Dynamics and Economic Diversification Opportunities," Working Papers in Economics & Finance 2019-06, University of Portsmouth, Portsmouth Business School, Economics and Finance Subject Group.

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