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

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  • Gong Yunlong

    (Department of Land Resource Management, China University of Mining and Technology, Daxue Road 1, 221116Xuzhou, China.)

  • de Haan Jan

    (OTB-Research for the Built Environment, Delft University of Technology, Juliannalaan 134, 2628 BLDelft, The Netherlands.)

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.

Suggested Citation

  • Gong Yunlong & de Haan Jan, 2018. "Accounting for Spatial Variation of Land Prices in Hedonic Imputation House Price Indices: a Semi-Parametric Approach," Journal of Official Statistics, Sciendo, vol. 34(3), pages 695-720, September.
    • Handle: RePEc:vrs:offsta:v:34:y:2018:i:3:p:695-720:n:6
    DOI: 10.2478/jos-2018-0033
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    References listed on IDEAS

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    Cited by:

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    4. Wentland, Scott A. & Ancona, Zachary H. & Bagstad, Kenneth J. & Boyd, James & Hass, Julie L. & Gindelsky, Marina & Moulton, Jeremy G., 2020. "Accounting for land in the United States: Integrating physical land cover, land use, and monetary valuation," Ecosystem Services, Elsevier, vol. 46(C).
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    6. Xin Wang & Xin Zhang, 2024. "Scanner: Simultaneously temporal trend and spatial cluster detection for spatial‐temporal data," Environmetrics, John Wiley & Sons, Ltd., vol. 35(5), August.

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    More about this item

    Keywords

    Geospatial information; hedonic modeling; land and structure prices; mixed geographically weighted regression; residential property;
    All these keywords.

    JEL classification:

    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • C43 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Index Numbers and Aggregation
    • E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation
    • 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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