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Residential Property Price Indexes for Tokyo

Author

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  • Diewert, Erwin
  • Shimizu, Chihiro

Abstract

The paper uses hedonic regression techniques in order to decompose the price of a house into land and structure components using real estate sales data for Tokyo. In order to get sensible results, a nonlinear regression model using data that covered multiple time periods was used. Collinearity between the amount of land and structure in each residential property leads to inaccurate estimates for the land and structure value of a property. This collinearity problem was solved by using exogenous information on the rate of growth of construction costs in Tokyo in order to get useful constant quality subindexes for the price of land and structures separately.

Suggested Citation

  • Diewert, Erwin & Shimizu, Chihiro, 2013. "Residential Property Price Indexes for Tokyo," HIT-REFINED Working Paper Series 3, Institute of Economic Research, Hitotsubashi University.
  • Handle: RePEc:hit:remfce:3
    Note: R21
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    File URL: https://hermes-ir.lib.hit-u.ac.jp/hermes/ir/re/26024/wp003.pdf
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    References listed on IDEAS

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    1. W. Erwin Diewert & Saeed Heravi & Mick Silver, 2009. "Hedonic Imputation versus Time Dummy Hedonic Indexes," NBER Chapters, in: Price Index Concepts and Measurement, pages 161-196, National Bureau of Economic Research, Inc.
    2. 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.
    3. Ivancic, Lorraine & Erwin Diewert, W. & Fox, Kevin J., 2011. "Scanner data, time aggregation and the construction of price indexes," Journal of Econometrics, Elsevier, vol. 161(1), pages 24-35, March.
    4. W. Erwin DIEWERT & Jan de HAAN & Rens HENDRIKS, 2011. "The Decomposition of a House Price Index into Land and Structures Components: A Hedonic Regression Approach," The Valuation Journal, The National Association of Authorized Romanian Valuers, vol. 6(1), pages 58-105.
    5. Rosen, Sherwin, 1974. "Hedonic Prices and Implicit Markets: Product Differentiation in Pure Competition," Journal of Political Economy, University of Chicago Press, vol. 82(1), pages 34-55, Jan.-Feb..
    6. Eurostat, 2013. "Handbook on Residential Property Prices Indices," World Bank Publications - Books, The World Bank Group, number 17280.
    7. de Haan, Jan & van der Grient, Heymerik A., 2011. "Eliminating chain drift in price indexes based on scanner data," Journal of Econometrics, Elsevier, vol. 161(1), pages 36-46, March.
    8. Schwann, Gregory M, 1998. "A Real Estate Price Index for Thin Markets," The Journal of Real Estate Finance and Economics, Springer, vol. 16(3), pages 269-287, May.
    9. Davis, Morris A. & Heathcote, Jonathan, 2007. "The price and quantity of residential land in the United States," Journal of Monetary Economics, Elsevier, vol. 54(8), pages 2595-2620, November.
    10. Raphael W. Bostic & Stanley D. Longhofer & Christian L. Redfearn, 2007. "Land Leverage: Decomposing Home Price Dynamics," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 35(2), pages 183-208, June.
    11. Gyourko, Joseph & Saiz, Albert, 2004. "Reinvestment in the housing stock: the role of construction costs and the supply side," Journal of Urban Economics, Elsevier, vol. 55(2), pages 238-256, March.
    12. Clapp, John M., 1980. "The elasticity of substitution for land: The effects of measurement errors," Journal of Urban Economics, Elsevier, vol. 8(2), pages 255-263, September.
    13. McMillen, Daniel P., 2003. "The return of centralization to Chicago: using repeat sales to identify changes in house price distance gradients," Regional Science and Urban Economics, Elsevier, vol. 33(3), pages 287-304, May.
    14. Marc K. Francke & Gerjan A. Vos, 2004. "The Hierarchical Trend Model for Property Valuation and Local Price Indices," The Journal of Real Estate Finance and Economics, Springer, vol. 28(2_3), pages 179-208, March.
    15. Diewert, W. E., 1976. "Exact and superlative index numbers," Journal of Econometrics, Elsevier, vol. 4(2), pages 115-145, May.
    16. Chihiro Shimizu & Kiyohiko Nishimura, 2007. "Pricing Structure in Tokyo Metropolitan Land Markets and its Structural Changes: Pre-bubble, Bubble, and Post-bubble Periods," The Journal of Real Estate Finance and Economics, Springer, vol. 35(4), pages 475-496, November.
    17. 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.
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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. Shimizu, Chihiro & Imai, Satoshi & Diewert, Erwin, 2016. "Alternative Approaches to Housing Services and Japanese CPI: -Bias from Nominal Rigidity of Rents-," HIT-REFINED Working Paper Series 35, Institute of Economic Research, Hitotsubashi University.
    3. Erwin Diewert & Chihiro Shimizu, 2017. "Alternative Approaches to Commercial Property Price Indexes for Tokyo," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 63(3), pages 492-519, September.
    4. Robert J. Hill & Alicia N. Rambaldi & Michael Scholz, 2021. "Higher frequency hedonic property price indices: a state-space approach," Empirical Economics, Springer, vol. 61(1), pages 417-441, July.
    5. Tokuo Iwaisako & Arito Ono & Amane Saito & Hidenobu Tokuda, 2022. "Disentangling the effect of home ownership on household stockholdings: Evidence from Japanese micro data," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 50(1), pages 268-295, March.
    6. Suzuki, Masatomo & Asami, Yasushi & Shimizu, Chihiro, 2021. "Housing rent rigidity under downward pressure: Unit-level longitudinal evidence from Tokyo," Journal of Housing Economics, Elsevier, vol. 52(C).
    7. 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).
    8. Reusens, Peter & Vastmans, Frank & Damen, Sven, 2023. "A new framework to disentangle the impact of changes in dwelling characteristics on house price indices," Economic Modelling, Elsevier, vol. 123(C).
    9. W. Erwin Diewert & Kiyohiko G. Nishimura & Chihiro Shimizu & Tsutomu Watanabe, 2020. "New Estimates for the Price of Housing in the Japanese CPI," Advances in Japanese Business and Economics, in: Property Price Index, chapter 0, pages 299-323, Springer.
    10. Chihiro Shimizu & Erwin Diewert, 2023. "Scanner Data, Product Churn and Quality Adjustment," Working Papers e185, Tokyo Center for Economic Research.
    11. 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.
    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.

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    More about this item

    Keywords

    House price indexes; land and structure components; time dummy hedonic regressions; spline functions; flexible functional forms; Fisher ideal indexes;
    All these keywords.

    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

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