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The Decomposition of a House Price index into Land and Structures Components: A Hedonic Regression Approach

Author

Listed:
  • de Haan, Jan
  • Diewert, Erwin
  • Hendriks, Rens

Abstract

The paper uses hedonic regression techniques in order to decompose the price of a house into land and structure components using readily available real estate sales data for a Dutch city. In order to get sensible results, it proved necessary to use a nonlinear regression model using data that covered multiple time periods. It also proved to be necessary to impose some monotonicity restrictions on the price of land and structures. The results of the additive model were compared with the results of a traditional logarithmic hedonic regression model.

Suggested Citation

  • de Haan, Jan & Diewert, Erwin & Hendriks, Rens, 2010. "The Decomposition of a House Price index into Land and Structures Components: A Hedonic Regression Approach," Economics working papers erwin_diewert-2010-1, Vancouver School of Economics, revised 13 Jul 2010.
  • Handle: RePEc:ubc:bricol:erwin_diewert-2010-1
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    Cited by:

    1. Diewert, W. Erwin & Shimizu, Chihiro, 2016. "Hedonic regression models for Tokyo condominium sales," Regional Science and Urban Economics, Elsevier, vol. 60(C), pages 300-315.
    2. Diewert, Erwin & Shimizu, Chihiro, 2015. "Residential Property Price Indices For Tokyo," Macroeconomic Dynamics, Cambridge University Press, vol. 19(08), pages 1659-1714, December.
    3. Shimizu, Chihiro, 2014. "How Are Property Investment Returns Determined? : Estimating the Micro-Structure of Asset Prices, Property Income, and Discount Rates," HIT-REFINED Working Paper Series 12, Institute of Economic Research, Hitotsubashi University.
    4. Diewert, W. Erwin & Fox, Kevin J., 2016. "Kevin J. Fox Interview of W. Erwin Diewert," Microeconomics.ca working papers erwin_diewert-2016-6, Vancouver School of Economics, revised 02 Jun 2016.
    5. William Larson, 2015. "New Estimates of Value of Land of the United States," BEA Working Papers 0120, Bureau of Economic Analysis.
    6. Diewert, Erwin & Shimizu, Chihiro, 2017. "Alternative Land Price Indexes for Commercial Properties in Tokyo," HIT-REFINED Working Paper Series 75, Institute of Economic Research, Hitotsubashi University.
    7. Diewert, W. Erwin & Nishimura , Kiyohiko & Shimizu, Chihiro & Watanabe, Tsutomu, 2014. "Residential Property Price Indexes for Japan: An Outline of the Japanese Official RPPI," Economics working papers erwin_diewert-2014-17, Vancouver School of Economics, revised 27 Mar 2014.
    8. Shimizu Chihiro & Nishimura Kiyohiko G. & Watanabe Tsutomu, 2010. "Housing Prices in Tokyo: A Comparison of Hedonic and Repeat Sales Measures," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 230(6), pages 792-813, December.
    9. Fare, Rolf & Grosskopf, Shawna & Shang, Chenjun & Sickles, Robin, 2015. "Pricing Characteristics: An Application of Shepard's Dual Lemma," Working Papers 15-013, Rice University, Department of Economics.
    10. W. Erwin Diewert & Kevin J. Fox & Chihiro Shimizu, 2016. "Commercial Property Price Indexes And The System Of National Accounts," Journal of Economic Surveys, Wiley Blackwell, vol. 30(5), pages 913-943, December.
    11. Burnett-Isaacs,, Kate & Diewert, Erwin & Huang, Ning, 2017. "Alternative Approaches for Resale Housing Price Indexes," Microeconomics.ca working papers erwin_diewert-2017-6, Vancouver School of Economics, revised 08 May 2017.
    12. Alicia N. Rambaldi & Ryan R. J. McAllister & Cameron S. Fletcher, 2015. "Decoupling land values in residential property prices: smoothing methods for hedonic imputed price indices," Discussion Papers Series 549, School of Economics, University of Queensland, Australia.

    More about this item

    Keywords

    Property price indexes; hedonic regressions; repeat sales method; rolling year indexes; Fisher ideal indexes.;

    JEL classification:

    • C2 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • C43 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Index Numbers and Aggregation
    • D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis
    • 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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