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

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  • Siu Kei Wong

    (The University of Hong Kong)

  • K. W. Chau

    (The University of Hong Kong)

  • K. Karato

    (University of Toyama)

  • C. Shimizu

    (Nihon University)

Abstract

Since real estate is heterogeneous and not all its quality attributes are observable, the repeat sales model pioneered by Bailey et al. (1963) has become one of the standard methods to estimate a constant-quality price index. The model, however, 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 the depreciation rate of the property. This new method is applied to property transactions in Hong Kong and Tokyo. Hong Kong is shown to have a higher depreciation rate based on a fixed structure-to-property value ratio, while the resulting age adjustment is larger in Tokyo because its land value has shrunken over time.

Suggested Citation

  • Siu Kei Wong & K. W. Chau & K. Karato & C. Shimizu, 2018. "Separating the Age Effect from a Repeat Sales Index: Land and Structure Decomposition," The Journal of Real Estate Finance and Economics, Springer, vol. 57(3), pages 351-366, October.
    • Handle: RePEc:kap:jrefec:v:57:y:2018:i:3:d:10.1007_s11146-017-9631-2
    DOI: 10.1007/s11146-017-9631-2
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    Cited by:

    1. Charles Ka Yui Leung & Joe Cho Yiu Ng & Edward Tang, 2020. "Why is the Hong Kong Housing Market Unaffordable? Some Stylized Facts and Estimations," Globalization Institute Working Papers 380, Federal Reserve Bank of Dallas.
    2. Robert J. Hill & Miriam Steurer, 2020. "Commercial Property Price Indices and Indicators: Review and Discussion of Issues Raised in the CPPI Statistical Report of Eurostat (2017)," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 66(3), pages 736-751, September.
    3. Longhofer, Stanley D. & Redfearn, Christian L., 2022. "Estimating land values using residential sales data," Journal of Housing Economics, Elsevier, vol. 58(PA).
    4. Suzuki, Masatomo & Shimizu, Chihiro, 2024. "Obsolete housing equipment, weak renovation, and rapid depreciation of Japanese condominiums," Journal of the Japanese and International Economies, Elsevier, vol. 71(C).
    5. Mark Fitzgerald & David J. Hansen & Will McIntosh & Barrett A. Slade, 2020. "Urban Land: Price Indices, Performance, and Leading Indicators," The Journal of Real Estate Finance and Economics, Springer, vol. 60(3), pages 396-419, April.

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