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Separating the Age Effect from a Repeat Sales Index: Land and Structure Decomposition

  • Wong, SK
  • Chau, KW
  • Karato, K
  • Shimizu, Chihiro
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    Since real estate is heterogeneous and infrequently traded, the repeat sales model has become a popular method to estimate a real estate price index. However, the model fails to adjust for depreciation, as age and time between sales have an exact linear relationship. This paper proposes a new method to estimate an age-adjusted repeat sales index by decomposing property value into land and structure components. As depreciation is more relevant to the structure than land, the property’s depreciation rate should depend on the relative size of land and structure. The larger the land component, the lower is the depreciation rate of the property. Based on housing transactions data from Hong Kong and Tokyo, we find that Hong Kong has a higher depreciation rate (assuming a fixed structure-to-property value ratio), while the resulting age adjustment is larger in Tokyo because its structure component has grown larger from the first to second sales.

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    File URL: http://hermes-ir.lib.hit-u.ac.jp/rs/bitstream/10086/26023/1/wp005.pdf
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    Paper provided by Institute of Economic Research, Hitotsubashi University in its series HIT-REFINED Working Paper Series with number 5.

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    Length: 15, v p.
    Date of creation: Dec 2013
    Date of revision:
    Handle: RePEc:hit:remfce:5
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    1. Case, Bradford & Quigley, John M, 1991. "The Dynamics of Real Estate Prices," The Review of Economics and Statistics, MIT Press, vol. 73(1), pages 50-58, February.
    2. Gatzlaff, Dean H & Haurin, Donald R, 1997. "Sample Selection Bias and Repeat-Sales Index Estimates," The Journal of Real Estate Finance and Economics, Springer, vol. 14(1-2), pages 33-50, Jan.-Marc.
    3. Thorsnes, Paul, 1997. "Consistent Estimates of the Elasticity of Substitution between Land and Non-Land Inputs in the Production of Housing," Journal of Urban Economics, Elsevier, vol. 42(1), pages 98-108, July.
    4. Knight J. R. & Hill R. Carter & Sirmans C. F., 1993. "Estimation of Hedonic Housing Price Models Using Nonsample Information: A Monte Carlo Study," Journal of Urban Economics, Elsevier, vol. 34(3), pages 319-346, November.
    5. W. Erwin Diewert & Jan de Haan & Rens Hendriks, 2015. "Hedonic Regressions and the Decomposition of a House Price Index into Land and Structure Components," Econometric Reviews, Taylor & Francis Journals, vol. 34(1-2), pages 106-126, February.
    6. Gatzlaff, Dean H. & Haurin, Donald R., 1998. "Sample Selection and Biases in Local House Value Indices," Journal of Urban Economics, Elsevier, vol. 43(2), pages 199-222, March.
    7. Englund, Peter & Quigley, John M. & Redfearn, Christian L., 1998. "Improved Price Indexes for Real Estate: Measuring the Course of Swedish Housing Prices," Journal of Urban Economics, Elsevier, vol. 44(2), pages 171-196, September.
    8. Palmquist, Raymond B, 1980. "Alternative Techniques for Developing Real Estate Price Indexes," The Review of Economics and Statistics, MIT Press, vol. 62(3), pages 442-48, August.
    9. Diewert, Erwin, 2007. "The Paris OECD-IMF Workshop on Real Estate Price Indexes: Conclusions and Future Directions," Economics working papers diewert-07-01-03-08-12-12, Vancouver School of Economics, revised 31 Jan 2007.
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