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A local housing market model with spatial interaction and land-use planning controls

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  • Chris Leishman
  • Glen Bramley

Abstract

There have been few documented attempts to construct and estimate econometric models of local housing market dynamics and linkages. Previous housing market analyses have been undertaken primarily at the national and regional levels of aggregation. This paper reports the results of the estimation of a system of equations using a panel dataset. The work extends previous housing market analyses in a number of respects. First, the analysis is undertaken at the local level. Local authority (former district council) boundaries are used as a proxy for local housing market areas. Second, the modelling approach takes explicit account of spatial interaction between local land and housing markets. The system constructed and estimated includes equations for private household migration between local housing markets, house price growth and house building output. The supply equation (house building output) is driven partly by measures of land made available through the planning system for house building. This includes measures of the relative importance of urban infill and brownfield sites in the supply of land. Our estimations have shown that these variables are statistically significant. The equations are estimated using two stage least squares on panel data. The spatial coverage of the data is the central belt of Scotland. The data span the period 1986-1997.

Suggested Citation

  • Chris Leishman & Glen Bramley, 2001. "A local housing market model with spatial interaction and land-use planning controls," ERES eres2001_209, European Real Estate Society (ERES).
  • Handle: RePEc:arz:wpaper:eres2001_209
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    Cited by:

    1. 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.
    2. Min Jiang & Liangjie Xin & Xiubin Li & Minghong Tan, 2016. "Spatiotemporal Variation of China’s State-Owned Construction Land Supply from 2003 to 2014," Sustainability, MDPI, vol. 8(11), pages 1-16, November.
    3. Ali Turel, 2012. "High housing production under less regulated market conditions in Turkey," ERES eres2012_210, European Real Estate Society (ERES).
    4. Bianca Biagi & Maria Giovanna Brandano & Steven B. Caudill, 2016. "Tourism and house prices in Italy," Tourism Economics, , vol. 22(5), pages 964-978, October.
    5. Michael White & Philip Allmendinger, 2003. "Land-use Planning and the Housing Market: A Comparative Review of the UK and the USA," Urban Studies, Urban Studies Journal Limited, vol. 40(5-6), pages 953-972, May.
    6. Adams, David, 2008. "Mapping out the regulatory environment and its interaction with land and property markets," Energy Policy, Elsevier, vol. 36(12), pages 4570-4574, December.
    7. Duca, John V. & Muellbauer, John & Murphy, Anthony, 2010. "Housing markets and the financial crisis of 2007-2009: Lessons for the future," Journal of Financial Stability, Elsevier, vol. 6(4), pages 203-217, December.
    8. Peter J. B. Brown & Stephen Hincks, 2008. "A Framework for Housing Market Area Delineation: Principles and Application," Urban Studies, Urban Studies Journal Limited, vol. 45(11), pages 2225-2247, October.
    9. Farooq, Bilal & Miller, Eric J., 2012. "Towards integrated land use and transportation: A dynamic disequilibrium based microsimulation framework for built space markets," Transportation Research Part A: Policy and Practice, Elsevier, vol. 46(7), pages 1030-1053.
    10. Tajana Barbić, 2024. "Impact of Tourism Activity on Urban Land and Housing Market Activity: Evidence from Croatia," Economies, MDPI, vol. 12(12), pages 1-13, December.
    11. B. Biagi & MG. Brandano & D. Lambiri, 2012. "Does tourism affect house prices? Some evidence from Italy," Working Paper CRENoS 201227, Centre for North South Economic Research, University of Cagliari and Sassari, Sardinia.

    More about this item

    JEL classification:

    • R3 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location

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