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Empirical Modelling of Regional House Prices and the Ripple Effect

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  • Chien-Chiang Lee

    ()

  • Mei-Se Chien

    ()

Abstract

This paper investigates the stationarity properties and long-run relationship of Taiwan’s regional house prices from 1993Q1 to 2009Q2. It applies the recent unit-root test of the panel seemingly unrelated regressions augmented Dickey–Fuller (SURADF) test developed by Breuer et al. The empirical results illustrate that Taiwan’s regional house prices are a mixture of stationary and non-stationary processes, showing that the stationarity properties of these prices are dependent on the structure and properties of the various regions. Secondly, the findings of the cointegration test provide substantive evidence for a long-run relationship among all regions except Taipei City, implying a diffusion of regional house prices among each regional market except Taipei City. Finally, the results of the weak exogeneity test indicate that uni-directional causality relationships exist for three regions—Taipei County, Taoyuan-Hsinchu and Tainan-Kaohsiung—towards Taichung. The regional house price efficiently diffuses itself among these regions, caused by a much smaller public housing sector and the pre-sale system in Taiwan.

Suggested Citation

  • Chien-Chiang Lee & Mei-Se Chien, 2011. "Empirical Modelling of Regional House Prices and the Ripple Effect," Urban Studies, Urban Studies Journal Limited, vol. 48(10), pages 2029-2047, August.
  • Handle: RePEc:sae:urbstu:v:48:y:2011:i:10:p:2029-2047
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    Cited by:

    1. Chen, Pei-Fen & Chien, Mei-Se & Lee, Chien-Chiang, 2011. "Dynamic modeling of regional house price diffusion in Taiwan," Journal of Housing Economics, Elsevier, vol. 20(4), pages 315-332.
    2. Gong, Yunlong & Hu, Jinxing & Boelhouwer, Peter J., 2016. "Spatial interrelations of Chinese housing markets: Spatial causality, convergence and diffusion," Regional Science and Urban Economics, Elsevier, vol. 59(C), pages 103-117.
    3. Lerbs, Oliver & Hiller, Norbert, 2015. "Aging and Urban House Prices," Annual Conference 2015 (Muenster): Economic Development - Theory and Policy 113136, Verein für Socialpolitik / German Economic Association.
    4. Aye, G.C. & Goswami, S. & Gupta, R., 2013. "Metropolitan House Prices In Regions of India: Do They Converge?," Regional and Sectoral Economic Studies, Euro-American Association of Economic Development, vol. 13(1), pages 135-144.
    5. Lee, Chien-Chiang & Lee, Cheng-Feng & Lee, Chi-Chuan, 2014. "Asymmetric dynamics in REIT prices: Further evidence based on quantile regression analysis," Economic Modelling, Elsevier, vol. 42(C), pages 29-37.
    6. Antonakakis, Nikolaos & Chatziantoniou, Ioannis & Floros, Christos, 2015. "Dynamic Connectedness of UK Regional Property Prices," MPRA Paper 68421, University Library of Munich, Germany.
    7. Goodness C. Aye & Samrat Goswami & Rangan Gupta, 2012. "Metropolitan House Prices In India: Do They Converge?," Working Papers 201220, University of Pretoria, Department of Economics.
    8. Lee, Chien-Chiang & Chien, Mei-Se & Lin, Tsoyu Calvin, 2012. "Dynamic modelling of real estate investment trusts and stock markets," Economic Modelling, Elsevier, vol. 29(2), pages 395-407.
    9. David Gray, 2015. "Hidden Properties of Irish House Price Vintages," Housing Studies, Taylor & Francis Journals, vol. 30(8), pages 1317-1353, November.
    10. Katharina Pijnenburg, 2014. "The Spatial Dimension of US House Price Developments," ERSA conference papers ersa14p127, European Regional Science Association.
    11. Hiller, Norbert & Lerbs, Oliver W., 2016. "Aging and urban house prices," Regional Science and Urban Economics, Elsevier, vol. 60(C), pages 276-291.
    12. repec:eee:regeco:v:65:y:2017:i:c:p:56-64 is not listed on IDEAS

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