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Predicting housing prices at alternative locations and under alternative scenarios of the spatial job distribution

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  • Liv Osland
  • Inge Thorsen

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Suggested Citation

  • Liv Osland & Inge Thorsen, 2009. "Predicting housing prices at alternative locations and under alternative scenarios of the spatial job distribution," Letters in Spatial and Resource Sciences, Springer, vol. 2(2), pages 133-147, October.
    • Handle: RePEc:spr:lsprsc:v:2:y:2009:i:2:p:133-147
    DOI: 10.1007/s12076-009-0030-z
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    References listed on IDEAS

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    1. Clapp, John M & Rodriguez, Mauricio & Pace, R Kelley, 2001. "Residential Land Values and the Decentralization of Jobs," The Journal of Real Estate Finance and Economics, Springer, vol. 22(1), pages 43-61, January.
    2. Richard Voith, 1999. "The Suburban Housing Market: Effects of City and Suburban Employment Growth," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 27(4), pages 621-648, December.
    3. Wang, Ferdinand T. & Zorn, Peter M., 1997. "Estimating House Price Growth with Repeat Sales Data: What's the Aim of the Game?," Journal of Housing Economics, Elsevier, vol. 6(2), pages 93-118, June.
    Full references (including those not matched with items on IDEAS)

    Citations

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    Cited by:

    1. Gjestland, Arnstein & McArthur, David Philip & Osland, Liv & Thorsen, Inge, 2014. "The suitability of hedonic models for cost-benefit analysis: Evidence from commuting flows," Transportation Research Part A: Policy and Practice, Elsevier, vol. 61(C), pages 136-151.

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    More about this item

    Keywords

    Hedonic model; Housing prices; Predictions; Job accessibility; Spatial interaction; R21; R31;
    All these keywords.

    JEL classification:

    • 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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