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Do Housing Submarkets Really Matter?

Author

Listed:
  • Steven C. BOURASSA

    (School of Urban and Public Affairs, University of Louisville)

  • Martin HOESLI

    (HEC-University of Geneva, FAME, University of Aberdeen (Business School))

  • Vincent S. PENG

    (AMP Henderson Global Investors)

Abstract
We maintain that the appropriate definition of submarkets depends on the use to which they will be put. For mass appraisal purposes, submarkets should be defined so that the accuracy of hedonic predictions will be optimized. Thus we test whether out-of-sample hedonic value predictions can be improved when a large urban housing market is divided into submarkets and we explore the effects of alternative definitions of submarkets on the accuracy of predictions. We compare a set of submarkets based on small geographical areas defined by real estate appraisers with a set of statistically generated submarkets consisting of dwellings that are similar but not necessarily contiguous. The empirical analysis uses a transactions database from Auckland, New Zealand. Price predictions are found to be most accurate when based on the housing market segmentation used by appraisers. We conclude that housing submarkets matter, and location plays the major role in explaining why they matter.

Suggested Citation

  • Steven C. BOURASSA & Martin HOESLI & Vincent S. PENG, 2002. "Do Housing Submarkets Really Matter?," FAME Research Paper Series rp58, International Center for Financial Asset Management and Engineering.
    • Handle: RePEc:fam:rpseri:rp58
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    File URL: http://www.swissfinanceinstitute.ch/rp58.pdf
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    References listed on IDEAS

    as
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    More about this item

    Keywords

    Housing; Submarkets; Price Predictions; Mass Appraisal; Hedonic Method;
    All these keywords.

    JEL classification:

    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • 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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