IDEAS home Printed from
   My bibliography  Save this paper

Residential Property Price Indexes for Tokyo


  • Diewert, Erwin
  • Shimizu, Chihiro


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

    Download full text from publisher

    File URL:
    Download Restriction: no

    Other versions of this item:

    References listed on IDEAS

    1. 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.
    2. 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.
    3. 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, National Association of Romanian Valuers, vol. 6(1), pages 58-105.
    4. Taltavull Paloma & Kauko Tom & d'Amato Maurizio, 2009. "Mass Appraisal Methods: An International Perspective for Property Valuers," International Journal of Strategic Property Management, De Gruyter Open, vol. 13(4), pages 359-364, December.
    5. 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.
    6. 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.
    7. 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.
    8. 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.
    9. 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.
    10. W. Erwin Diewert & John S. Greenlees & Charles R. Hulten, 2009. "Price Index Concepts and Measurement," NBER Books, National Bureau of Economic Research, Inc, number diew08-1, January.
    11. 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..
    12. Eurostat, 2013. "Handbook on Residential Property Prices Indices," World Bank Publications, The World Bank, number 17280.
    13. Diewert, W. E., 1976. "Exact and superlative index numbers," Journal of Econometrics, Elsevier, vol. 4(2), pages 115-145, May.
    14. 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.
    15. 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.
    16. 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.
    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.
    Full references (including those not matched with items on IDEAS)


    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.

    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. Diewert, W. Erwin & Imai, Satoshi & Shimizu, Chihiro, 2015. "New Estimates for the Price of Housing in the Japanese CPI," Economics working papers erwin_diewert-2015-14, Vancouver School of Economics, revised 17 Jul 2015.
    4. 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.
    5. 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.

    More about this item


    House price indexes; land and structure components; time dummy hedonic regressions; spline functions; flexible functional forms; 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

    NEP fields

    This paper has been announced in the following NEP Reports:


    Access and download statistics


    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:hit:remfce:3. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Digital Resources Section, Hitotsubashi University Library). General contact details of provider: .

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.