Accounting for Spatial Variation of Land Prices in Hedonic Imputation House Price Indices: A Semi-Parametric Approach

Yunlong Gong, Jan de Haan

    Research output: Contribution to journalArticleScientificpeer-review

    2 Citations (Scopus)
    19 Downloads (Pure)

    Abstract

    Location is capitalized into the price of the land the structure of a property is built on, and land prices can be expected to vary significantly across space. We account for spatial variation of land prices in hedonic house price models using geospatial data and a semi-parametric method known as mixed geographically weighted regression. To measure the impact on aggregate price change, quality-adjusted (hedonic imputation) house price indices are constructed for a small city in the Netherlands and compared to price indices based on more restrictive models, using postcode dummy variables, or no location information at all. We find that, while taking spatial variation of land prices into account improves the model performance, the Fisher house price indices based on the different hedonic models are almost identical. The land and structures price indices, on the other hand, are sensitive to the treatment of location.

    Original languageEnglish
    Pages (from-to)695-720
    Number of pages26
    JournalJournal of Official Statistics
    Volume34
    Issue number3
    DOIs
    Publication statusPublished - 2018

    Keywords

    • Geospatial information
    • hedonic modeling
    • land and structure prices
    • mixed geographically weighted regression
    • residential property

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