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Residential Property Price Indexes: Spatial Coordinates versus Neighbourhood Dummy Variables

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  • Diewert, Erwin
  • Shimizu, Chihiro

Abstract

The paper addresses the following question: can satisfactory residential property price indexes be constructed using hedonic regression techniques where location effects are modeled using local neighbourhood dummy variables or is it necessary to use spatial coordinates to model location effects. Hill and Scholz (2018) addressed this question and found, using their hedonic regression model, that it was not necessary to use spatial coordinates to obtain satisfactory property price indexes for Sydney. However, their hedonic regression model did not estimate separate land and structure price indexes for residential properties. In order to construct national balance sheet estimates, it is necessary to have separate land and structure price indexes. The present paper addresses the Hill and Scholz question in the context of providing satisfactory residential land price indexes. The spatial coordinate model used in the present paper is a modification of Colwell’s (1998) spatial interpolation method. The modification can be viewed as a general nonparametric method for estimating a function of two variables.

Suggested Citation

  • Diewert, Erwin & Shimizu, Chihiro, 2019. "Residential Property Price Indexes: Spatial Coordinates versus Neighbourhood Dummy Variables," Microeconomics.ca working papers erwin_diewert-2019-11, Vancouver School of Economics, revised 10 Jan 2020.
  • Handle: RePEc:ubc:pmicro:erwin_diewert-2019-11
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    File URL: https://econ2017.sites.olt.ubc.ca/files/2020/01/pdf_paper_erwin-diewert-19-08RPPISpatialCoordetc.pdf
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    References listed on IDEAS

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    More about this item

    Keywords

    Residential property price indexes; System of National Accounts; Balance Sheets; methods of depreciation;
    All these keywords.

    JEL classification:

    • C2 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables
    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions; Probabilities
    • 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
    • R21 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - Housing Demand

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