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Housing price gradients in a geography with one dominating center

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Abstract

We primarily focus on explaining housing prices and predicting housing price gradients in a Norwegian region with one dominating center (Stavanger). For such a geography spatial separation can be represented in a hedonic regression equation by a function of traveling distance from the city center. Several functions are tested, and some alternatives provide both a satisfying goodness-to-fit, consistent coefficient estimates, and intuitively reasonable predictions of housing price gradients. Still, not all commonly used functions are recommended. Spatial autocorrelation is removed when the hedonic function is properly specified.

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  • Osland, Liv & Thorsen, Inge & Gitlesen, Jens Petter, 2005. "Housing price gradients in a geography with one dominating center," Working Papers in Economics 06/05, University of Bergen, Department of Economics.
  • Handle: RePEc:hhs:bergec:2005_006
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    File URL: http://www.uib.no/filearchive/No.%2006-05.pdf
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    Cited by:

    1. Liv Osland & Inge Thorsen, 2006. "Evaluating Housing Price Predictability of Alternative Hedonic Model Formulations," ERSA conference papers ersa06p492, European Regional Science Association.
    2. Liv Osland & Inge Thorsen, 2006. "Testing for the Impact of Local Labour Market Characteristics on House Prices," ERSA conference papers ersa06p490, European Regional Science Association.

    More about this item

    Keywords

    hedonic regression model; housing attributes; functional representation of spatial separation; spatial autocorrelation; housing price gradient; capitalization;

    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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